The document discusses 4 IBM storage solutions that can help enterprises better manage the large amounts of data being generated: 1) The IBM Storwize family provides efficient storage virtualization to reduce storage space and hardware needs. 2) The IBM FlashSystem family provides critical application performance and reliability through extreme speeds. 3) The IBM DS8870 provides business continuity and security. 4) The IBM XIV provides scalability and availability. These solutions help enterprises optimize efficiency, performance, and manage data growth at a lower cost.
This document provides an overview of data warehousing. It defines a data warehouse as a subject-oriented, integrated, time-variant, and non-volatile collection of data used to support management decisions. The document discusses why data warehousing differs from operational systems, sample data warehouse designs, and the mechanics of the design process including interviewing users, assembling teams, hardware/software choices, and handling aggregates.
This document defines and describes key concepts related to data warehousing and business intelligence. It defines a data warehouse as a repository of integrated data organized for analysis. Key characteristics of a data warehouse include being subject-oriented, integrated, non-volatile, and summarized. The document also discusses data marts, architectures like three-tier and two-tier, and ETL processes. Risks, best practices, and administration of data warehouses are covered as well.
This document provides an introduction to data warehousing. It defines a data warehouse as a subject-oriented, integrated, time-invariant, and non-volatile collection of data from multiple sources designed to support analysis and decision making. Data warehouses centralize data for analysis, allow analysis of broad business data over time, and are a core component of business intelligence. They improve decision making, increase productivity and efficiency, and provide competitive advantages for organizations. While data warehouses provide benefits, they also face challenges related to scalability, speed, and security.
Benefits of data_archiving_in_data _warehousesSurendar Bandi
This document discusses the benefits of using data archiving to manage rapid data growth in data warehouses. Some key points:
- Data warehouses often experience rapid data growth from factors like expanding subject areas, business growth, and a lack of data retention policies. This unchecked growth leads to increasing costs, poor performance, and an inability to support compliance requirements.
- Traditional solutions like hardware upgrades, backups, and database partitioning do not effectively address the problems caused by rapid data growth.
- Data archiving allows organizations to intelligently move inactive and historical data from the production database to more cost-effective storage while still providing query access. This improves performance, reduces costs, and helps manage compliance requirements.
Data-Ed Online Presents: Data Warehouse StrategiesDATAVERSITY
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered. This webinar will illustrate that good systems development more often depends on at least three data management disciplines in order to provide a solid foundation.
Takeaways:
Data system integration challenge analysis
Understanding of a range of data system-integration technologies including
Problem space (BI, Analytics, Big Data), Data (Warehousing, Vault, Cube) and alternative approaches (Virtualization, Linked Data, Portals, Meta-models)
Understanding foundational data warehousing & BI concepts based on the Data Management Body of Knowledge (DMBOK)
How to utilize data warehousing & BI in support of business strategy
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
This document provides an overview of data warehousing. It defines a data warehouse as a subject-oriented, integrated, time-variant, and non-volatile collection of data used to support management decisions. The document discusses why data warehousing differs from operational systems, sample data warehouse designs, and the mechanics of the design process including interviewing users, assembling teams, hardware/software choices, and handling aggregates.
This document defines and describes key concepts related to data warehousing and business intelligence. It defines a data warehouse as a repository of integrated data organized for analysis. Key characteristics of a data warehouse include being subject-oriented, integrated, non-volatile, and summarized. The document also discusses data marts, architectures like three-tier and two-tier, and ETL processes. Risks, best practices, and administration of data warehouses are covered as well.
This document provides an introduction to data warehousing. It defines a data warehouse as a subject-oriented, integrated, time-invariant, and non-volatile collection of data from multiple sources designed to support analysis and decision making. Data warehouses centralize data for analysis, allow analysis of broad business data over time, and are a core component of business intelligence. They improve decision making, increase productivity and efficiency, and provide competitive advantages for organizations. While data warehouses provide benefits, they also face challenges related to scalability, speed, and security.
Benefits of data_archiving_in_data _warehousesSurendar Bandi
This document discusses the benefits of using data archiving to manage rapid data growth in data warehouses. Some key points:
- Data warehouses often experience rapid data growth from factors like expanding subject areas, business growth, and a lack of data retention policies. This unchecked growth leads to increasing costs, poor performance, and an inability to support compliance requirements.
- Traditional solutions like hardware upgrades, backups, and database partitioning do not effectively address the problems caused by rapid data growth.
- Data archiving allows organizations to intelligently move inactive and historical data from the production database to more cost-effective storage while still providing query access. This improves performance, reduces costs, and helps manage compliance requirements.
Data-Ed Online Presents: Data Warehouse StrategiesDATAVERSITY
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered. This webinar will illustrate that good systems development more often depends on at least three data management disciplines in order to provide a solid foundation.
Takeaways:
Data system integration challenge analysis
Understanding of a range of data system-integration technologies including
Problem space (BI, Analytics, Big Data), Data (Warehousing, Vault, Cube) and alternative approaches (Virtualization, Linked Data, Portals, Meta-models)
Understanding foundational data warehousing & BI concepts based on the Data Management Body of Knowledge (DMBOK)
How to utilize data warehousing & BI in support of business strategy
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
How In-memory Computing Drives IT SimplificationSAP Technology
Discover how the in-memory technology of SAP HANA can reduce complexity and simplify the IT landscape to foster real-time results, innovation and lower costs.
This document provides a project report on data warehousing. It includes an abstract describing data warehousing and how it transforms operational databases into informational warehouses for analysis. It also describes the introduction, background, architecture, advantages, and conclusion of data warehousing. The report is submitted by Sana Alvi and includes references.
Modern Integrated Data Environment - Whitepaper | QuboleVasu S
A whit-paper is about building a modern data platform for data driven organisations with using cloud data warehouse with modern data platform architecture
https://www.qubole.com/resources/white-papers/modern-integrated-data-environment
In the Age of Unstructured Data, Enterprise-Class Unified Storage Gives IT a ...Hitachi Vantara
This document discusses the growing challenge of managing unstructured data in enterprises and proposes that unified storage is a solution. It outlines 3 trends driving greater adoption of file-based protocols and outlines 7 key elements that an ideal unified storage system for enterprises should have, including virtualization, intelligent tiering, flash optimization, and more. It then describes how Hitachi's VSP G1000 unified storage system meets all these elements to provide an enterprise-grade solution for unified storage without compromise.
Effective use of cloud resources for Data Engineering - Johnson DarkwahMatěj Jakimov
Video from presentation: https://youtu.be/SoSZdI2lMVQ
Processing vast amounts of data in the cloud has long been a nightmare not just for data analysts but also budget owners. We believe that migrating your data engineering workloads to can be beneficial, if you keep in mind some basic architectural principles. Teams processing big data in the cloud should understand and leverage its key attribute. Flexibility.The goal of our keynote is to share our experience and key learnings on how to fully utilize the power that the cloud offers and not go broke. This could be useful for both startups, but also large corporation as we will show examples of how to dramatically lower the cost of infrastructure.
Speaker: Johnson Darkwah, Big Data Solution Architect at Gauss Algorithmic, https://www.linkedin.com/in/johnson-darkwah-7ba76511/
For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
In this paper, Impetus focuses at why organizations need to design an Enterprise Data Warehouse (EDW) to support the business analytics derived from the Big Data.
EMC Isilon: A Scalable Storage Platform for Big DataEMC
This white paper provides insights into EMC Isilon's shared storage approach, covering a wide range of desired characteristics including increased efficiency and reduced total cost.
Intro to big data and applications -day 3Parviz Vakili
This document provides a summary of a presentation on introductory concepts related to big data and applications. The presentation was delivered on October 2020 by Parviz Vakili and covered several key topics including data architecture, data governance, data modeling and design, data storage and operations, data warehousing and business intelligence, and document and content management. It included definitions and context diagrams for major data management concepts.
Data Warehouse Design and Best PracticesIvo Andreev
A data warehouse is a database designed for query and analysis rather than for transaction processing. An appropriate design leads to scalable, balanced and flexible architecture that is capable to meet both present and long-term future needs. This session covers a comparison of the main data warehouse architectures together with best practices for the logical and physical design that support staging, load and querying.
The opportunity of the business data lakeCapgemini
The document discusses how the Pivotal Business Data Lake provides a solution for digital transformation by addressing issues with traditional single enterprise data warehouse approaches. It does this through four key tenets: storing all information, encouraging local views of the data, governing only common data, and treating global views as local. This allows businesses to access and analyze data in ways that fit their needs and culture rather than being constrained by IT systems. The Business Data Lake is a collaboration between Pivotal and Capgemini to deliver a new approach combining supportive technology and business-centric governance of information.
The Next Evolution in Storage Virtualization Management White PaperHitachi Vantara
Hitachi's global storage virtualization solution combines advanced storage virtualization technology with integrated management software. This allows enterprises to pool, abstract, and mobilize storage resources across physical storage platforms, enabling more efficient management of large, complex storage environments. Hitachi Command Suite provides centralized management of Hitachi and third-party storage systems. When used with Hitachi's Virtual Storage Platform and Storage Virtualization Operating System, it can manage global storage virtualization environments at enterprise scale with lower costs.
Capitalizing on the New Era of In-memory ComputingInfosys
- In-memory computing processes large amounts of data stored in server memory within seconds, enabling real-time insights from massive data volumes. This overcomes limitations of traditional disk-based systems with their longer processing times.
- Key advantages include vastly reduced processing latency from milliseconds for disk reads to nanoseconds for memory, enabling real-time decisions. It also reduces costs by consolidating transactional and analytical workloads on a single system.
- Application areas that can benefit include personalized incentives, optimized pricing, high-frequency trading, next-generation analytics, and risk management where rapid insights from large data volumes are critical.
Learn how IBM Storage and Software Defined Infrastructure help leading financial services institutions meet the challenges of:
- Engagement
- Agility
- Risk and Compliance
...and how our offerings enable the companies to maintain leadership today and in the future.
This article takes a look at some of the reasons behind this data explosion, and some of the possible effects if the growth is not managed. We’ll also examine some of the ways in which these problems can be avoided.
2020 Big Data & Analytics Maturity Survey ResultsAtScale
The survey collected responses from over 150 Big Data & Analytics leaders and found that:
1) Most enterprises are adopting a hybrid/multi-cloud strategy rather than a single vendor.
2) Investment in Hadoop is staying the same or increasing for most respondents.
3) Many companies plan to invest in data virtualization which allows data to be accessed consistently across platforms.
4) Data governance was cited as a top challenge across all respondents.
This document discusses different approaches to implementing master data management (MDM) solutions within organizations. It begins by outlining targeted MDM solutions like customer data integration and product information management that focus on a single data dimension. While these limited scope solutions are easier to implement, they do not address cross-dimensional relationships between data sets. The document then describes methods for implementing MDM in a phased approach, either starting with a single data dimension or implementing enterprise-wide over time. Finally, it outlines what a complete enterprise MDM solution entails, with the MDM system serving as the system of entry and system of record for all master data.
Become Data Driven With Hadoop as-a-ServiceMammoth Data
This presentation gives an overview of what it means to be a data driven company, all of the pros and cons of becoming data driven, and a few softwares used in data management.
This document provides an introduction to big data and analytics. It discusses definitions of key concepts like business intelligence, data analysis, and big data. It also provides a brief history of analytics, describing how technologies have evolved from early business intelligence systems to today's big data approaches. The document outlines some of the key components of Hadoop, including HDFS and MapReduce, and how it addresses issues like volume, variety and velocity of big data. It also discusses related technologies in the Hadoop ecosystem.
Solix Cloud – Managing Data Growth with Database Archiving and Application Re...LindaWatson19
Mission-critical ERP and CRM applications are the lifeblood of any business. This paper examines how Solix Cloud Database Archiving and Application Retirement Solutions enable enterprises to achieve their ILM goals while reducing complexity and offering superior performance.
Master Data Management: Extracting Value from Your Most Important Intangible ...FindWhitePapers
This SAP Insight explores the importance of master data and the barriers to achieving sound master data, describes the ideal master data management solution, and explains the value and benefits of effective management of master data.
Storage virtualization can help organizations address key challenges like managing storage growth demands, leveraging existing assets, and simplifying data movement issues. It allows pooling of storage resources and thin provisioning to improve capacity utilization and reduce costs. Controller-based storage virtualization in particular separates logical views from physical assets, allowing heterogeneous storage systems to be managed as a single pool. This provides benefits like reduced complexity, improved flexibility, and leveraged cost savings.
This whitepaper will help you understand how to realize measurable cost savings and superior ROI by using a comprehensive storage management solution. For more information on IBM Software Solutions, please visit: http://bit.ly/16Tj2M0
This document provides a project report on data warehousing. It includes an abstract describing data warehousing and how it transforms operational databases into informational warehouses for analysis. It also describes the introduction, background, architecture, advantages, and conclusion of data warehousing. The report is submitted by Sana Alvi and includes references.
Modern Integrated Data Environment - Whitepaper | QuboleVasu S
A whit-paper is about building a modern data platform for data driven organisations with using cloud data warehouse with modern data platform architecture
https://www.qubole.com/resources/white-papers/modern-integrated-data-environment
In the Age of Unstructured Data, Enterprise-Class Unified Storage Gives IT a ...Hitachi Vantara
This document discusses the growing challenge of managing unstructured data in enterprises and proposes that unified storage is a solution. It outlines 3 trends driving greater adoption of file-based protocols and outlines 7 key elements that an ideal unified storage system for enterprises should have, including virtualization, intelligent tiering, flash optimization, and more. It then describes how Hitachi's VSP G1000 unified storage system meets all these elements to provide an enterprise-grade solution for unified storage without compromise.
Effective use of cloud resources for Data Engineering - Johnson DarkwahMatěj Jakimov
Video from presentation: https://youtu.be/SoSZdI2lMVQ
Processing vast amounts of data in the cloud has long been a nightmare not just for data analysts but also budget owners. We believe that migrating your data engineering workloads to can be beneficial, if you keep in mind some basic architectural principles. Teams processing big data in the cloud should understand and leverage its key attribute. Flexibility.The goal of our keynote is to share our experience and key learnings on how to fully utilize the power that the cloud offers and not go broke. This could be useful for both startups, but also large corporation as we will show examples of how to dramatically lower the cost of infrastructure.
Speaker: Johnson Darkwah, Big Data Solution Architect at Gauss Algorithmic, https://www.linkedin.com/in/johnson-darkwah-7ba76511/
For Impetus’ White Papers archive, visit- http://www.impetus.com/whitepaper
In this paper, Impetus focuses at why organizations need to design an Enterprise Data Warehouse (EDW) to support the business analytics derived from the Big Data.
EMC Isilon: A Scalable Storage Platform for Big DataEMC
This white paper provides insights into EMC Isilon's shared storage approach, covering a wide range of desired characteristics including increased efficiency and reduced total cost.
Intro to big data and applications -day 3Parviz Vakili
This document provides a summary of a presentation on introductory concepts related to big data and applications. The presentation was delivered on October 2020 by Parviz Vakili and covered several key topics including data architecture, data governance, data modeling and design, data storage and operations, data warehousing and business intelligence, and document and content management. It included definitions and context diagrams for major data management concepts.
Data Warehouse Design and Best PracticesIvo Andreev
A data warehouse is a database designed for query and analysis rather than for transaction processing. An appropriate design leads to scalable, balanced and flexible architecture that is capable to meet both present and long-term future needs. This session covers a comparison of the main data warehouse architectures together with best practices for the logical and physical design that support staging, load and querying.
The opportunity of the business data lakeCapgemini
The document discusses how the Pivotal Business Data Lake provides a solution for digital transformation by addressing issues with traditional single enterprise data warehouse approaches. It does this through four key tenets: storing all information, encouraging local views of the data, governing only common data, and treating global views as local. This allows businesses to access and analyze data in ways that fit their needs and culture rather than being constrained by IT systems. The Business Data Lake is a collaboration between Pivotal and Capgemini to deliver a new approach combining supportive technology and business-centric governance of information.
The Next Evolution in Storage Virtualization Management White PaperHitachi Vantara
Hitachi's global storage virtualization solution combines advanced storage virtualization technology with integrated management software. This allows enterprises to pool, abstract, and mobilize storage resources across physical storage platforms, enabling more efficient management of large, complex storage environments. Hitachi Command Suite provides centralized management of Hitachi and third-party storage systems. When used with Hitachi's Virtual Storage Platform and Storage Virtualization Operating System, it can manage global storage virtualization environments at enterprise scale with lower costs.
Capitalizing on the New Era of In-memory ComputingInfosys
- In-memory computing processes large amounts of data stored in server memory within seconds, enabling real-time insights from massive data volumes. This overcomes limitations of traditional disk-based systems with their longer processing times.
- Key advantages include vastly reduced processing latency from milliseconds for disk reads to nanoseconds for memory, enabling real-time decisions. It also reduces costs by consolidating transactional and analytical workloads on a single system.
- Application areas that can benefit include personalized incentives, optimized pricing, high-frequency trading, next-generation analytics, and risk management where rapid insights from large data volumes are critical.
Learn how IBM Storage and Software Defined Infrastructure help leading financial services institutions meet the challenges of:
- Engagement
- Agility
- Risk and Compliance
...and how our offerings enable the companies to maintain leadership today and in the future.
This article takes a look at some of the reasons behind this data explosion, and some of the possible effects if the growth is not managed. We’ll also examine some of the ways in which these problems can be avoided.
2020 Big Data & Analytics Maturity Survey ResultsAtScale
The survey collected responses from over 150 Big Data & Analytics leaders and found that:
1) Most enterprises are adopting a hybrid/multi-cloud strategy rather than a single vendor.
2) Investment in Hadoop is staying the same or increasing for most respondents.
3) Many companies plan to invest in data virtualization which allows data to be accessed consistently across platforms.
4) Data governance was cited as a top challenge across all respondents.
This document discusses different approaches to implementing master data management (MDM) solutions within organizations. It begins by outlining targeted MDM solutions like customer data integration and product information management that focus on a single data dimension. While these limited scope solutions are easier to implement, they do not address cross-dimensional relationships between data sets. The document then describes methods for implementing MDM in a phased approach, either starting with a single data dimension or implementing enterprise-wide over time. Finally, it outlines what a complete enterprise MDM solution entails, with the MDM system serving as the system of entry and system of record for all master data.
Become Data Driven With Hadoop as-a-ServiceMammoth Data
This presentation gives an overview of what it means to be a data driven company, all of the pros and cons of becoming data driven, and a few softwares used in data management.
This document provides an introduction to big data and analytics. It discusses definitions of key concepts like business intelligence, data analysis, and big data. It also provides a brief history of analytics, describing how technologies have evolved from early business intelligence systems to today's big data approaches. The document outlines some of the key components of Hadoop, including HDFS and MapReduce, and how it addresses issues like volume, variety and velocity of big data. It also discusses related technologies in the Hadoop ecosystem.
Solix Cloud – Managing Data Growth with Database Archiving and Application Re...LindaWatson19
Mission-critical ERP and CRM applications are the lifeblood of any business. This paper examines how Solix Cloud Database Archiving and Application Retirement Solutions enable enterprises to achieve their ILM goals while reducing complexity and offering superior performance.
Master Data Management: Extracting Value from Your Most Important Intangible ...FindWhitePapers
This SAP Insight explores the importance of master data and the barriers to achieving sound master data, describes the ideal master data management solution, and explains the value and benefits of effective management of master data.
Storage virtualization can help organizations address key challenges like managing storage growth demands, leveraging existing assets, and simplifying data movement issues. It allows pooling of storage resources and thin provisioning to improve capacity utilization and reduce costs. Controller-based storage virtualization in particular separates logical views from physical assets, allowing heterogeneous storage systems to be managed as a single pool. This provides benefits like reduced complexity, improved flexibility, and leveraged cost savings.
This whitepaper will help you understand how to realize measurable cost savings and superior ROI by using a comprehensive storage management solution. For more information on IBM Software Solutions, please visit: http://bit.ly/16Tj2M0
Solve the Top 6 Enterprise Storage Issues White PaperHitachi Vantara
Storage virtualization can help organizations solve common enterprise storage issues by consolidating multiple physical storage systems into a single virtual pool. This allows for increased utilization of existing assets, simplified management across heterogeneous systems, and reduced costs through measures like thin provisioning and automation. Virtualization helps organizations address issues like exponential data growth, low storage utilization, increasing management complexity, and rising capital and operating expenditures on storage infrastructure.
How companies are managing growth, gaining insights
and cutting costs in the era of big data.
Top reasons to change your database:
1. Lower total cost of ownership
2. A platform for rapid reporting
and analytics
3. Increased scalability and
availability
4. Support for new and emerging
applications
5. Flexibility for hybrid environments
6. Greater simplicity
This document discusses six reasons to upgrade a database: 1) Lower total cost of ownership through automation, compression, and in-memory capabilities. 2) A platform for rapid reporting and analytics through in-memory computing, columnar processing, and parallel processing. 3) Increased scalability and availability through redundancy, high availability, disaster recovery, and transparent database clustering. 4) Support for new and emerging applications through flexibility, NoSQL capabilities, and cloud deployment options. 5) Flexibility for hybrid environments using a blend of on-premises and cloud resources. 6) Greater simplicity through an agile database infrastructure that helps reduce costs. Real-world examples of cost savings and performance improvements are provided.
1- Lower total cost of ownership
2- A platform for rapid reporting and analytics
3- Increased scalability and availability
4- Support for new and emerging applications
5- Flexibility for hybrid environment
6- Greater simplicity
How companies are managing growth, gaining insights and cutting costs in the ...Virginia Fernandez
6 reasons to upgrade your database:
Reason 1: Lower total cost of ownership
Reason 2: A platform for rapid reporting and analytics
Reason 3: Increased scalability and availability
Reason 4: Support for new and emerging applications
Reason 5: Flexibility for hybrid environments
Reason 6: Greater simplicity
Webinar: Flash to Flash to Cloud – Three Steps to Ending the Storage NightmareStorage Switzerland
Three primary storage challenges that keep IT up at night:
* How to keep up with application performance demand
* How to affordably manage and store the vast amount of data that IT has to store
* How to protect that data so that applications can quickly return to service if a server, storage system or entire data center fails
To meet these challenges IT has either used multiple solutions from multiple vendors, creating cost overruns and massive complexity or they have to try to consolidate to a single vendor via hyperconvergence or cloud migration leading to inefficient use of resources and feature shortfalls.
Enterprises are facing exponentially increasing amounts of data that is breaking down traditional storage architectures. NetApp addresses this "big data challenge" through their "Big Data ABCs" approach - focusing on analytics, bandwidth, and content. This enables customers to gain insights from massive datasets, move data quickly for high-speed applications, and securely store unlimited amounts of content for long periods without increasing complexity. NetApp's solutions provide a foundation for enterprises to innovate with data and drive business value.
9 Steps to Successful Information Lifecycle ManagementIron Mountain
9 Steps to Successful Information Lifecycle Management: Best Practices for Efficient Database Archiving
Executive Summary
Organizations that use prepackaged ERP/CRM, custom, and third-party applications are seeing their production databases grow exponentially. At the same time, business policies and regulations require them to retain structured and unstructured data indefinitely. Storing increasing amounts of data on production systems is a recipe for poor performance no matter how much hardware is added or how much an application is tuned. Organizations need a way to manage this growth effectively.
Over the past few years, the Storage Networking Industry Association (SNIA) has promoted the concept of Information Lifecycle Management (ILM) as a means of better aligning the business value of data with the most appropriate and cost-effective IT infrastructure—from the time information is added to the database until it can be destroyed. However, the SNIA does not recommend specifi c tools to get the job done or how best to use tools to implement ILM.
This white paper describes why data archiving provides a highly effective application ILM solution and how to implement such an archiving solution to most effectively manage data throughout its
life cycle.
Data warehouse-optimization-with-hadoop-informatica-clouderaJyrki Määttä
This white paper proposes a reference architecture for optimizing data warehouses using Hadoop. It combines Informatica and Cloudera technologies to offload processing and infrequently used data from data warehouses to Hadoop. This alleviates strain on warehouses and frees up storage space. The architecture provides universal data access, flexible data ingestion methods, streamlined data pipelines, scalable processing and storage using Hadoop, end-to-end data management, and real-time queries of Hadoop data. The goal is to optimize warehouse performance and costs by leveraging Hadoop for large-scale data storage and preprocessing.
Modernize storage infrastructure with hybrid cloud & flashCraig McKenna
As we enter the cognitive era leveraging data (your own institution's but combined with data from other sources) is the only way to survive and thrive in a competitive landscape. Hybrid cloud is the platform and the right data management strategy (and partner) is essential. Are you ready for the cognitive era?
Enterprise Storage Solutions for Overcoming Big Data and Analytics ChallengesINFINIDAT
Big Data and analytics workloads represent a new frontier for organizations. Data is being collected from sources that did not exist 10 years ago. Mobile phone data, machine-generated data, and website interaction data are all being collected and analyzed. In addition, as IT budgets are already being pressured down, Big Data footprints are getting larger and posing a huge storage challenge.
This paper provides information on the issues that Big Data applications pose for storage systems and how choosing the correct storage infrastructure can streamline and consolidate Big Data and analytics applications without breaking the bank.
InfiniBox bridges the gap between high performance and high capacity for Big Data applications. InfiniBox allows an organization implementing Big Data and Analytics projects to truly attain its business goals: cost reduction, continual and deep capacity scaling, and simple and effective management — and without any compromises in performance or reliability. All of this to effectively and efficiently support Big Data applications at a disruptive price point.
Learn more at www.infinidat.com.
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
A-B-C Strategies for File and Content BrochureHitachi Vantara
Explains each strategy, including archive 1st, back up less, consolidate more, distributed IT efficiency, enable e-discovery and compliance, and facilitate cloud. For more information on Unstructured Data Management Solutions by HDS please visit: http://www.hds.com/solutions/it-strategies/unstructured-data-management.html?WT.ac=us_mg_sol_udm
Smarter Data Protection And Storage Management Solutionsaejaz7
This document discusses IBM's solutions for data protection, storage management and service management. It highlights IBM Tivoli Storage Manager which provides data protection, recovery and archival. It also discusses IBM TotalStorage Productivity Center which enables end-to-end storage management across the SAN. The document emphasizes that with increasing data growth, organizations need solutions that optimize storage resources, ensure data security and availability, and provide visibility and control over the storage infrastructure.
IBM provides data reduction solutions to help organizations manage increasing data growth with limited budgets. These solutions include:
1) Avoiding data duplication through incremental-only backups that copy only changed data.
2) Categorizing data to automate moving less used data to cheaper storage tiers and deleting unnecessary data.
3) Deduplicating and compressing remaining data to reduce storage needs.
The document discusses a data protection solution from Tributary Systems and IBM that combines Tributary's Storage Director software with IBM servers and storage platforms. This solution provides virtualized backup storage that allows data from any system to be stored on any backend storage, improving flexibility, utilization and efficiency. It also simplifies management and enables policies to store different data types in optimal locations.
The white paper discusses how enterprises are facing exponentially growing amounts of data that is breaking down traditional storage architectures. It outlines NetApp's approach to addressing big data challenges through what it calls the "Big Data ABCs" - analytics, bandwidth, and content. This allows customers to gain insights from massive data sets, move data quickly for high-performance applications, and store large amounts of content for long periods without increasing complexity. NetApp provides solutions to help enterprises take advantage of big data and turn it into business value.
2. Table of Contents
• Drowning in Data...........................................................................................................................................3
- Lost Data Means Lost Opportunity
- Optimized Storage and Higher Performance
• Managing Data for Today and Tomorrow.................................................................................................. 5
• IBM®
Storwize®
Family: Efficiency and Storage Virtualization .................................................................. 6
- Efficiency
- Storage Virtualization
- A Long-term Investment
• IBM FlashSystem™ Family: Critical Application Performance and Reliability ....................................... 9
- Extreme Performance Powered by MicroLatency™
- Enterprise Reliability
- Macro Efficiency
• IBM DS8870®
: Business Continuity and Security......................................................................................... 12
• IBM XIV®
: Scalability and Availability....................................................................................................... 14
• Real-world Problems, IBM Solutions ............................................................................................................ 16
• Efficiency, Scale and Continuity: Case Studies...........................................................................................17
- Medical and Scientific
- Sports and Entertainment
- Science and Technology
- IT Services
- Banking
• Critical Application Performance and Reliability: Case Studies ............................................................. 21
- Financial Technology
- Telecommunications
- Software Services
• How Do I Learn More?..................................................................................................................................24
• Further Reading ...........................................................................................................................................25
3. Drowning in Data
Every 2 days the world generates as much data as it had through
all of history up to the year 2003. By 2020, the world will have
generated an astonishing 40 zettabytes, or 40 trillion gigabytes, of
digital content.
“Data is the new natural resource,” says Ginni Rometty, IBM
Chairman, President and CEO. Enterprises are using insights from
analyzed data to drive and develop new strategies, infiltrate new
markets, discover new customers—in short, to innovate. Innovation
requires keeping up with market trends at a sustainable cost:
efficiently scaling data with fewer resources, enabling access to data
that provides valuable insights and managing critical application data
with speed and continuity.
Lost Data Means Lost Opportunity
The proliferation of data generates challenges and opportunities.
The cost of storing data continues to drop, but not as quickly as the
cost of managing that data. Although storage capacity will have grown
at a rate of nearly 38 percent between 2011 and 2016, the decline of
storage system costs will not exceed 30 percent, according to
International Data Corp. (IDC) estimates.
Large amounts of useful data are getting lost. Structured data, when
properly managed, can create tremendous benefits for enterprises,
but unstructured data is growing 15 times faster than structured data.
Nearly a quarter of the world’s data could be useful if it were tagged
Getting Big Value out of Big Data: The Update 3
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
By 2020, the world will have
generated an astonishing
40 zettabytes, or 40 trillion
gigabytes, of digital content.
4. and analyzed, but only about 3 percent of that potentially useful data
is tagged properly to begin capturing valuable insights.
Then there’s a more pressing problem: Big Data, the 2.5 quintillion
bytes of files, digital video, images, mobile sensor data, log files and
other unstructured data generated every day. Less than 20 percent of
the world’s data is protected adequately—and less than 1 percent of it
gets analyzed for strategy and insight.
In short, storage can be costly when it’s handled inefficiently. To serve
an enterprise well, data must be scaled with fewer resources,
analyzed effectively for innovation and managed with speed and
continuity. To meet those challenges, an enterprise needs a storage
platform that can expand cost-effectively, and can respond quickly
and doesn’t require additional training.
Optimized Storage and Higher Performance
An enterprise needs a storage platform that can scale to meet the
demands generated by the exponential growth of incoming data,
while minimizing the budget needed to support it. Many enterprises
must confront 2 fundamental questions: How can we manage our
data economically? Do any storage solutions help us optimize
efficiency and performance without raising our computing costs?
• Do we need to make long-term strategic investments in a
storage solution? Or will shorter, quick-term fixes be enough?
This e-book addresses these questions by discussing the benefits
of 4 IBM storage solutions that can greatly improve the way an
enterprise can innovate by managing the data it collects:
• Storwize®
family for storage virtualization and efficiency
• FlashSystem™
family for critical application performance
and reliability
• DS8870®
for business continuity and security
• XIV®
for scalability and availability
Getting Big Value out of Big Data: The Update 4
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
5. Managing Data for Today and
Tomorrow
Whether you have business-critical solutions and critical applications
or whether you’re using data and analytics, different costs apply to
different classes of data. For example, continuous real-time analytics
of data streamed from social and mobile platforms bears different
management costs from those of transactional data.
To stay competitive, an enterprise relies on its storage solutions to be
both efficient and high performing. IBM offers economical solutions
to the complex challenges of efficient, optimized, performance-
oriented storage with the Storwize family, FlashSystem family,
DS8870 and XIV.
Getting Big Value out of Big Data: The Update 5
To stay competitive, an enterprise
relies on its storage solutions to be
both efficient and high performing.
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
6. IBM®
Storwize®
Family:
Efficiency and Storage
Virtualization
IBM’s Storwize family, an industry-leading storage system, solves
the issues of both efficiency and storage virtualization. The Storwize
family’s tightly integrated technologies help reduce both the storage
space that data consumes and the physical space its hardware
occupies. The Storwize family helps improve performance with its
ability to analyze and adapt to data-access patterns. It features
embedded intelligence and analytics. It’s flexible enough to support
cloud deployments, and it provides nearly real-time data mirroring
that supports an effective disaster-recovery plan.
Efficiency
Storwize holds 5 times more data in the same space than traditional
disk storage systems and, with just 5 percent additional flash
storage, it generates 3 times the performance. That amounts
to 30 percent lower storage growth and 47 percent less
management effort.
With both storage demands and technology continually advancing,
features like snapshots of data, point-in-time copies and remote
replication for disaster recovery and continuity increase the
operational value of this storage platform.
Storage Virtualization
Storage systems are categorized at 3 levels:
• High-end, for large enterprises, with such features as advanced
data protection and integration with operating systems like z/OS®
and enterprise UNIX
• Midrange, for small and midsize enterprises, with such features
as high availability, integration with operating systems like VMware
and Microsoft VSS, and snapshots for data protection
• Entry-level, for small and midsize enterprises requiring a
low-cost option with simple administration and limited availability
and connectivity
Getting Big Value out of Big Data: The Update 6
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
7. Changes in the characteristics of storage technology—availability,
scalability, efficiency and data protection—appear first in high-end
storage systems and last in entry-level systems. New demands
on storage are emerging as well: the need for data reduction
and compression, encryption and specialized features that
improve performance.
Letting an enterprise buy the storage it needs and expand with the
demands of business is one way IBM’s Storwize family permits easy
scalability. A software-defined storage solution that has offered
customers flexibility for more than 10 years, Storwize enables the
highest levels of efficiency and performance, enhancing virtual
infrastructures with built-in features like real-time compression,
automated storage tiering, external virtualization and automated
migration for increased capacity efficiency and administrative
efficiency.
For IT administrators, the Storwize family offers tremendous benefits,
including higher flexibility, ease of use, external virtualization and
other features of the Storwize V5000 system; efficient x86
management through vCenter and vSphere server virtualization
software; the IBM OpenStack cloud-management platform;
integration into the IBM PureSystems®
solutions using IBMFlex
System Manager™
software; and data protection with IBM Tivoli®
Storage FlashCopy®
Manager.
Getting Big Value out of Big Data: The Update 7
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
The risks of constructing a storage
infrastructure piecemeal vastly
outweigh any cost savings it might
provide in the short term.
8. A Long-term Investment
When addressing the economics of data, it’s important to remember
why IT infrastructure matters when establishing solutions for such
initiatives as Big Data, cloud, social media and mobile computing.
Investments in storage technology must translate into real business
benefits, such as higher availability of data to more users, faster
response times, lower operating costs, easier management of the
system and faster return on investment (ROI).
The risks of constructing a storage infrastructure piecemeal vastly
outweigh any cost savings it might provide in the short term. Merely
adding storage capacity as the need arises, and using a range of
systems and vendors depending on their momentary availability,
can create a structure that’s far more complex than necessary.
That may ultimately prove to be a costlier approach than investing
in a streamlined system.
Because future storage demands are difficult to predict, the
Storwize family can be configured with a variety of offerings that
meet the needs of different enterprises. Storwize offers a range of
storage systems—entry-level systems, midrange block and unified
systems, virtualization and enterprise-level systems—built on a
common platform with shared technologies that can accommodate
future planning.
Getting Big Value out of Big Data: The Update 8
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
9. IBM FlashSystem™
Family:
Critical Application Performance
and Reliability
The IBM FlashSystem family of data storage offers performance and
efficiencies exponentially beyond what even solid-state drives or other
flash technology can deliver. FlashSystem technology can help an
enterprise’s most crucial applications and infrastructures in Big Data
and cloud environments to work more efficiently and reliably than
traditional disk-storage systems can. FlashSystem and storage
virtualization transform data economics, enabling businesses to make
data-driven decisions in real time.
FlashSystem storage gains the most from business processes and
critical applications by transforming the data-center environment with
enhanced performance and resource consolidation for macro
efficiencies. This is an easily consumable solution, with its simplicity
and its perfect fit for integration with both hardware and software
virtualization appliances. Given its extreme performance standards,
macro efficiencies and easy integration, FlashSystem can allow an
enterprise to compete more readily in the market and drive a faster ROI.
FlashSystem offers enterprise-level speed for such critical
applications as online transaction processing (OLTP) and online
analytical processing (OLAP), business intelligence (BI), virtual
desktop infrastructures, high-performance computing, and content
delivery solutions such as cloud storage.
The FlashSystem V840 Enterprise Performance Solution combines
the performance of FlashSystem architecture with the advanced
functions of software-defined storage to deliver performance and
Getting Big Value out of Big Data: The Update 9
FlashSystem can allow an enterprise
to compete more readily in the
market and drive a faster ROI.
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
10. efficiency that meet the needs of enterprise workloads demanding
IBM MicroLatency™
response times. The FlashSystem V840 includes
advanced data services such as business continuity with replication
and data protection with FlashCopy®
and higher storage efficiency
with thin provisioning, Real-time Compression™
, IBM Easy Tier®
,
external virtualization and space-efficient copies.
FlashSystem demonstrates macro efficiencies as a cost-effective
solution, using as much as 80 percent less energy than hard-disk
storage systems, and incurring 50 percent lower total cost of
ownership compared to the previous storage solution.
As data volume continues to expand and storage becomes
increasingly complex, a key question for IT managers is how to
manage critical application data with speed, continuity and ease.
FlashSystem technology has lower latency than solid-state drive (SSD)
solutions, high-performance disks (FC) or high-capacity disks (SAS),
and is a more economical choice than dynamic random access
memory (DRAM). Furthermore, FlashSystem V840 combines
software-defined storage with the scalable performance of
IBM FlashSystem storage to accelerate critical business applications
and decrease data center costs simultaneously.
Extreme Performance Powered by MicroLatency
The IBM FlashSystem family delivers the data-storage industry’s
lowest latency and highest input/output operations per second
(IOPS) for its price of any storage solutions on the market.
To accelerate critical applications and permit faster decision
making, FlashSystem delivers IBM MicroLatency—with a
100-microsecond response time. Microsecond latency is key
in delivering a consistent and predictable user experience,
regardless of the data traffic patterns or load. MicroLatency
can help a business achieve a competitive advantage with:
• Real-time decisions
• Access to data (availability)
• Efficient data economics
Getting Big Value out of Big Data: The Update 10
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
11. Enterprise Reliability
FlashSystem hardware is the most mature enterprise-class
technology on the market, with generations of proven design and
patented data-protection technology. FlashSystem 840 delivers the
enterprise reliability, availability and serviceability (RAS) required by
today’s enterprise applications. It is fully redundant and designed to
offer high availability with concurrent code load and high serviceability
with front-loading hot-swappable modules. FlashSystem 840 has low
mean time-to-repair to avoid business interruptions. And to provide
advanced security for data at rest—without compromising application
performance—FlashSystem 840 supports hardware-accelerated
encryption.
FlashSystem devices feature reliability technologies including
IBM Variable Stripe RAID™
, which reduces business interruptions and
mitigates chip failures; 2-dimensional flash RAID, which eliminates
single points of failure and maintains capacity levels; error correction
code (ECC) at the chip level; an integrated spare flash card; and
built-in battery backup.
Macro Efficiency
IBM FlashSystem family supports highly I/O-intensive OLTP database
workloads. FlashSystem has demonstrated that it significantly
improves workload efficiency and provides high availability.
FlashSystem storage costs by category are far lower than the cost of
using disks. FlashSystem hardware is also physically compact and
consumes less power than competitive systems. Using FlashSystem
has helped some clients to:
• Cut online transaction times by 90%
• Reduce physical footprint by 97%
• Reduce energy usage by 80%
• Save up to 83% on software
Getting Big Value out of Big Data: The Update 11
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
12. IBM DS8870:
Business Continuity and Security
These days, nearly everyone is struggling to manage the exponential
growth of data and the increasing complexity of their IT environments.
Much of this is the result of the variety of server environments spread
across multiple data centers, each typically with a distinct storage
platform that must be managed separately. As the amount and variety
of data accelerate, the challenge to manage data – let alone gain
valuable insight from it – further complicates matters.
DS8870 for Big Data and Analytics
DS8870 can help simplify a storage environment so you spend less
time managing data and more time using it to grow your business.
Quick and reliable data access is the driving force behind real-time
business analytics, and DS8870 sets the standard for what an
enterprise storage system should be. It offers extraordinary
performance, reliability and agility so that users can make information
available where and when it’s needed – easily and effectively. In short,
DS8870 can help you make the most of Big Data and analytics for
true business value.
Continuous Operations
DS8870 also makes business continuity a reality. With 3-way global
mirroring, DS8870 is designed to help address the needs of
dynamic enterprise environments requiring the highest levels of
Getting Big Value out of Big Data: The Update 12
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
Quick and reliable data access is
the driving force behind real-time
business analytics, and DS8870 sets
the standard for what an enterprise
storage system should be.
13. availability. It supports dynamic system changes such as online
system microcode updates and online hardware upgrades. And it
includes redundant, hot-swappable components and sophisticated
data integrity features to help support continuous operations.
Increased Security
Add to that the system’s capacity to increase security and data
protection. IBM has self-encrypting storage that automatically
secures all information on a disk drive or tape cartridge when either
is physically removed from a storage system. Plus DS8870 has a
variety of other security features, such as role-based administration,
multilevel authentication and tamper-proof audit logging.
Additional Features & Benefits
• Achieves extraordinary IOPS and low response times with IBM®
POWER7+™
controllers
• Optimizes performance with all-flash and hybrid-flash systems
for fast transaction processing and real-time operational analytics
• Delivers extreme system resiliency with full hardware redundancy
and advanced business continuity
• Maximizes performance and costs with new drive options,
IBM Easy Tier and other self-optimizing features
• Consolidates storage with high scalability, automated quality-of-
service management, self-tuning performance, drive tiering and
support for many platforms and application workloads
In essence, DS8870 takes performance to a brand-new level,
helping your business meet the resiliency and security challenges
of your critical enterprise data and analytics.
Getting Big Value out of Big Data: The Update 13
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
14. IBM XIV:
Scalability and Availability
Now you can add storage capacity without disrupting your current
system. IBM XIV Storage System is high-end disk storage that
supports the need for high performance, availability, operational
flexibility and security – all while helping to minimize costs and
complexity. It’s also made to order for cloud.
Ideal for Cloud Infrastructures
Most, if not all, clouds have the same storage requirements; namely,
the ability to:
• Share resources effectively
• Optimize interoperability with virtualized servers
• Enable fast provisioning
• Provide simple management, automated to the
extent possible
• Deliver high elasticity
• Ensure high availability and robust data protection
• Offer comprehensive reporting, and flexible integration
with chargeback systems
What makes XIV an excellent fit for cloud storage solutions is that
it has a revolutionary grid design. Its massively parallel architecture
allocates system resources evenly at all times. And it scales
performance with capacity, providing the transparent elasticity
so important for today’s cloud infrastructures.
Getting Big Value out of Big Data: The Update 14
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
The XIV system also offers tier 1
performance and reliability for
even the most demanding and
fluctuating workloads – at tier 2 costs.
15. The XIV system also offers tier 1 performance and reliability for even
the most demanding and fluctuating workloads – at tier 2 costs.
Not only that, the system scales seamlessly without the need for
manual tuning, provisioning or configuration.
Virtualized Storage
For virtualized storage, XIV integrates extremely well with cloud
platform technologies such as VMware, Microsoft, IBM and open
source, as well as with IBM Tivoli products, creating an agile
platform for growth. XIV even provides user-acclaimed
manageability, with most complex tasks automated and an
extremely easy-to-use interface.
Additional Features and Benefits
• Linear scaling up to 325 TB per array
• IBM Hyperscale for extreme operational agility
over multiple systems
• Open-standards support and mixed-workload affinity
• High reliability and availability via full redundancy,
self-healing and rebuild speed
• Superb price performance for data economics
The bottom line: XIV delivers impressive real-world performance for
a myriad of applications – everything from databases, OLTP and
analytics to email, CRM and financial packages.
Getting Big Value out of Big Data: The Update 15
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
16. Real-world Problems,
IBM Solutions
The Storwize family, FlashSystem family, DS8870, XIV – it’s easy to
see how any of these 4 systems can help your enterprise get the
best innovation from the great volume of data already accumulating.
Examining the deployments of these technologies in multiple
industries illustrates their numerous benefits in solving the challenges
of storage, as they
• Reduce an enterprise’s operational costs
• Permit scalability
• Free up physical storage space
• Reduce energy consumption
• Minimize analytical latency
• Speed processing by many orders of magnitude
Getting Big Value out of Big Data: The Update 16
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
17. Efficiency, Scale and Continuity:
Case Studies
The IBM Storwize family, DS8870 and XIV have helped many
enterprises manage the challenge of having too much data to analyze
efficiently. In several categories of enterprise, the deployment of these
solutions illustrates a diversity of applications in which the solutions
play a central role in capturing efficient and optimized analytics from
an enterprise’s high volume of stored data.
Medical and Scientific
With 1,900 employees and 800 beds, Marienhospital Stuttgart
serves 30,000 inpatient and 60,000 outpatient clients a year.
Today’s treatment and diagnostic devices provide increasingly
high-definition output such as X-rays and CT scans, helping
physicians make more accurate diagnoses—but also demanding
greater storage at a greater speed. Given these rising data demands,
Marienhospital needed to increase its storage capacity by nearly
80 percent, from 50 TB to 90 TB.
By implementing an IBM System Storage®
SAN (storage area
network) Volume Controller (SVC) stretched cluster and IBM
Storwize V7000 Storage Systems in each of its 2 data centers,
the hospital increased its storage capacity to meet the increasing
demands for providing high-quality medicine at a low cost.
The adoption of SVC/Storwize technology also virtualized the
hospital’s storage, protecting its data from hardware failure. System
backups are now conducted 20 percent faster. Marienhospital also
Getting Big Value out of Big Data: The Update 17
The adoption of SVC/Storwize
technology also virtualized the
hospital’s storage, protecting its
data from hardware failure.
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
18. plans to boost the performance of its IBM SAN Volume Controller by
200 percent by expanding the system’s tiering functionality.
Solutions: Storwize V7000, Tivoli Storage Manager,
System Storage SAN Volume Controller
Sports and Entertainment
The unprecedented proliferation of video, photography, signage and
other digital data has pushed Canucks Sports & Entertainment to
adopt highly scalable storage technology that can accommodate
future growth. The raw high-definition video of a single Vancouver
Canucks hockey game could take up 500 GB, and that amount of
storage grows 50 percent a year.
The Canucks organization deployed the IBM Storwize V7000 with
integrated IBM System Storage Easy Tier platforms for scalable,
cost-effective storage that gives the organization more flexibility and
storage space and has significantly improved the speed of its
infrastructure by analyzing disk usage and implementing automatic
storage tiering.
Implementing the Storwize family immediately quadrupled the
Canucks organization’s storage capacity and reduced its backup
time by half—and increased the security camera footage capacity of
Vancouver’s Rogers Arena from 30 days to 60 days. By implementing
its existing infrastructure into the flexible Storwize system, the
company saved on costs even as it expanded its storage.
Solutions: IBM Storwize V7000, IBM Tivoli Storage
FlashCopy Manager
Science and Technology
The digital office equipment and document-management company
Ricoh Americas Corporation has recently seen an explosion in
incoming data— from 250 GB to 2 PB in only a few years. This
onslaught of data has meant greater strain on Ricoh’s IT infrastructure
and a reduction in the speed of its nightly backups.
Getting Big Value out of Big Data: The Update 18
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
19. To upgrade infrastructure, Ricoh integrated its core data center
into its existing platform by implementing IBM XIV Storage System
and IBM ProtecTIER®
Deduplication. The platforms generated very
little user downtime. Ricoh also deployed SAN Volume Controller,
a fast, cost-effective structure with high disk utilization that replaced
siloed storage and its associated higher costs, and made this solution
effective with a low IT staffing level. With its storage environment
85 percent virtualized, Ricoh’s energy consumption is far lower than
it would be with traditional disk storage.
Solutions: IBM System Storage DS8000®
series, IBM XIV Storage
System, IBM System Storage ProtecTIER Deduplication,
IBM System Storage SAN Volume Controller, IBM System Storage
Easy Tier, IBM Tivoli Storage Productivity Center Suite
IT Services
Based in Karlsruhe, Germany, Fiducia IT AG provides IT services for
700 cooperative banks and credit unions, and more than 60 private
banks. Managing more than 17 million current accounts and around
4 billion transactions per year, it needed to store all of the data
securely. Yet it also needed to ensure nonstop availability and rapid
access to the information – any interruptions would cause delays to
customers, damaging the reputations of Fiducia and its clients and
jeopardizing revenue.
The solution? Fiducia deployed 2 IBM®
DS8870 Storage Systems.
As a result, application response time has been cut by 50%, helping
Fiducia provide faster banking transactions. This in turn has boosted
customer satisfaction. Easy scalability options prepare the company
for future growth. And all the mission-critical data is safe and secure,
thanks to self-encryption.
Solutions: IBM System Storage®
DS8870, IBM®
FICON®
Director,
IBM zEnterprise®
EC12, IBM DB2®
for z/OS®
, IBM GDPS®
,
IBM Metro Mirror, IBM System Storage Easy Tier, IBM z/OS
Getting Big Value out of Big Data: The Update 19
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
20. Banking
Headquartered in Istanbul, Turkey, Anadolubank wanted to expand
from its traditional markets in energy, utility and agriculture to benefit
fully from growth in the Turkish economy. To win new business, the
bank needed to enhance its competitiveness by developing new
services such as mobile and internet banking.
The challenge: nonvirtualized storage meant development took
weeks to provision.
Working with IBM, the bank implemented IBM XIV Storage Systems,
configured with its existing servers in a private cloud using VMware
virtualization software. The highly parallelized and virtualized XIV
architecture ensures storage is no longer a bottleneck in bringing new
applications to market at high speed.
The results:
• 94% acceleration in storage provisioning – shrinking
development cycles
• 93% improvement in write latency – reducing the
business risk of incomplete backup cycles
• Overall competitiveness enhanced via rapid
development of services like mobile and internet banking
“With IBM XIV enabling fast provisioning of high-performance storage
for our development environments, we are well placed to develop the
modern banking services we need to attract business from new
domestic markets.” – Tung Bergsan, CIO, Anadolubank
Solutions: IBM XIV Gen3 Storage Systems, IBM System x®
,
IBM Tivoli Storage Manager
Getting Big Value out of Big Data: The Update 20
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
21. Critical Application Performance
and Reliability: Case Studies
Various real-world applications of the FlashSystem family tackling
several analytics issues at once show the advantages of using IBM’s
premium flash-technology system over both traditional hard-disk
systems and flash-based competitors in analyzing high volumes of
incoming data for innovative possibility.
Financial Technology
Banking technology company COCC, serving some 200 financial
institutions, needed to add flexibility to its core platform, so it moved
from a client/server interface to an entirely Web-based interface.
COCC avoided the long, costly software redesign it had anticipated
by deploying IBM FlashSystem platforms to increase its performance.
COCC’s FlashSystem family runs on IBM Power Systems™
servers
and integrates seamlessly with non-IBM enterprise storage systems.
The company estimates that its FlashSystem Storage Systems
deliver the same capacity of traditional spinning-disk storage while
requiring a 75 percent smaller physical space and producing 80
percent lower energy costs. While COCC has been expanding
the FlashSystem platform, it has not reached floor-space or
power-usage limits.
From the first day of its implementation, FlashSystem boosted
COCC’s Web site response times by a multiple of 10, with
Oracle database transactions consistently running at less than
100 milliseconds at all times. This performance has dramatically
improved its clients’ experience and has permitted them to learn
and adapt to the new interface quickly.
Solutions: IBM FlashSystem 820, IBM Power Systems
Telecommunications
With 55 million customers, wireless and wireline provider Sprint
Nextel constantly seeks to improve the speed and effectiveness of
its customer service, which is based in 121 call centers worldwide.
But saddled with an outdated tier 1 storage system, its response
Getting Big Value out of Big Data: The Update 21
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
22. time was slower than optimal. After an IBM FlashSystem Enterprise
Solution was installed, Sprint Nextel latency dropped from as much
as 9 milliseconds to just 700 microseconds (roughly 10 times faster).
The company also purchased 9 IBM FlashSystem 820s with
a total capacity of 150 TB, speeding its performance with a
minimum write latency of 25 microseconds and a read latency of
110 microseconds, a capability of 525,000 IOPS, and as much as
5.5 GB per second of read bandwidth.
Sprint Nextel also used the IBM FlashSystem Enterprise Solution,
which virtualized the FlashSystem 820 behind IBM System Storage
SAN Volume Controller hardware, saving 4 days of administration
per month. Now Sprint Nextel is migrating its billing data warehouse
from a partner to the new FlashSystem 820, giving the company
access to its data 45 times faster than before. The FlashSystem 820
uses 300 watts of electrical power—far less than the energy used
by a conventional hard-drive array.
Solutions: IBM FlashSystem Enterprise Solution
(IBM FlashSystem 820 and IBM System Storage SAN
Volume Controller)
Software Services
SciQuest, a software service company specializing in cloud-based
SAP procurement, needed to build applications for large enterprises
that were cutting their IT budgets. To do that, SciQuest had to
consolidate 20 or 30 spinning-disk departments, where it discovered
that bottlenecks were starting to affect I/O performance. The company
Getting Big Value out of Big Data: The Update 22
After an IBM FlashSystem
Enterprise Solution was installed,
Sprint Nextel latency dropped from
as much as 9 milliseconds to just
700 microseconds.
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
23. concluded that simply adding spinning disks to its network would take
up too much room and generate too much heat.
IBM FlashSystem offered the best-priced solution to solve these
issues and delivered an unexpected level of performance from its first
day of operation, immediately decreasing customers’ typical loads
from 10 to 2 and cutting command times in half, from an average of
300 milliseconds to less than 150 milliseconds.
SciQuest also saw an immediate ROI in not having to spend on tuning
code or SQL, or on implementing more hardware beyond storage.
Solutions: IBM FlashSystem Enterprise Solution,
DB2 Database Software
Getting Big Value out of Big Data: The Update 23
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
24. How Do I Learn More?
To determine how IBM platforms can best help your enterprise, first
consider your most pressing data-storage and -management needs.
Does your enterprise need to improve the efficiency and virtualization
of its data? Is the utilization of its data achieving less than it might?
Or would the ideal solution tackle some combination of both data
problems at once?
A solution that focuses on efficiency and virtualization at sustainable
costs—in terms of energy consumption, demands on IT personnel
and physical footprint—starts with implementing the SSD Storwize
hardware platform and its related software.
An extreme performance-based solution, including MicroLatency,
enterprise reliability and macro efficiency, is best served by the
FlashSystem family, offering unparalleled performance compared
to traditional disks. Learn more about the FlashSystem 840,
FlashSystem V840 Enterprise Performance Solution with
advanced storage capabilities, and how to boost your analytics
with FlashSystem.
To keep your mission-critical applications online and your data secure,
there’s IBM DS8870, featuring 3-way global mirroring and outstanding
performance for all workloads.
And for scale and availability, there’s IBM XIV. It can add storage
capacity without disrupting your current system.
To ensure that your storage solutions help achieve your business
objectives, visit us today at ibm.com/storage
Getting Big Value out of Big Data: The Update 24
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading
25. Further Reading
IBM Flash Storage and Solutions
IBM FlashSystem 840
IBM FlashSystem V840 Enterprise Performance Solution
IBM System Storage SAN Volume Controller
IBM Storwize Family
IBM Storwize V5000
IBM DS8870
IBM XIV
IDC—Enterprise Storage: Efficient, Virtualized and Flash Optimized
SSB puts reliable public transport on the fast track with IBM and SAP
Ricoh Americas Corporation: Scalable, cost-efficient, virtualized
storage with IBM storage solutions
Marienhospital Stuttgart finds the cure to escalating volumes of data
Sprint Nextel Corp.: Transforming customer service with ultrafast flash
storage from IBM
SciQuest.com: Staying ahead of the competition by offering highly
responsive solutions, based on IBM flash storage
Canucks Sports & Entertainment wins at the storage expansion game
COCC innovates in banking services
ESG—IBM XIV Storage: Impressive Real-world Performance
ESG—IBM’s DS8870 Takes Performance to a New Level
Driving performance with IBM XIV Storage System
Intelligent Flash performance for proven mission-critical storage
IBM DS8870 Keeps Mission-critical Applications Online and Your Data
Secure (Infographic)
Getting Big Value out of Big Data: The Update 25
Drowning in Data
Managing Data for Today
and Tomorrow
IBM®
Storwize®
Family:
Efficiency and
Storage Virtualization
IBM FlashSystem™
Family:
Critical Application
Performance and Reliability
IBM DS8870®
: Business
Continuity and Security
IBM XIV®
: Scalability and
Availability
Real-world Problems,
IBM Solutions
Efficiency, Scale and
Continuity: Case Studies
Critical Application
Performance and Reliability:
Case Studies
How Do I Learn More?
Further Reading