TeamQuest advocates applying "big data" approaches to capacity management to optimize resources through faster, scalable techniques. Traditionally, capacity management focused on technology and was staff-intensive, but new approaches integrate data from technology, services, and business sources using federated analytics. This provides a single view of capacity across the organization and correlates different metrics like response time, tickets, and financial data to surface new insights for optimizing efficiency.
Optimizing IT Costs & Services With Big Data (Little Effort!) - Case Studies ...TeamQuest Corporation
IT organizations have a wealth of Service Management and Service Delivery tools, processes and metrics that typically exist in relative isolation. This session will present detailed real-life examples of how existing tools and metrics can be brought together using big data techniques to optimize costs and performance of IT environments.
Today’s infrastructure situation is increasingly becoming virtualized everything (servers, storage, desktops, networks) with clouds growing in importance has given way to the term Software Defined Data Center (SDDC). The SDDC has it’s own challenges. Challenges like whether or not to include legacy or non-virtual resources, interoperability of multiple vendors’ converged infrastructure systems, and the management of SDDC remains a mystery.
The document provides an overview of a presentation about Intacct, a cloud-based accounting system. The presentation covers the differences between on-premise and cloud-based systems, introduces Intacct and its key features, and demonstrates the accounting functions and flexibility available in Intacct. The goal is to show attendees how Intacct can provide visibility into financial data and help organizations achieve a strong return on investment.
Congress 2012: Enterprise Cloud Adoption – an Evolution from Infrastructure ...eurocloud
The document discusses enterprise cloud adoption trends. It notes that 57% of enterprises use SaaS and 38% have adopted PaaS. Common applications migrated to the cloud include test/development, disaster recovery, email/collaboration, and analytics. Enterprises seek the cloud's flexible infrastructure and ability to bring products to market quicker. While cloud adoption is increasing, IT departments struggle with legacy systems and a lack of resources and agility. The cloud offers opportunities to focus more on information and using data for innovation.
The document discusses building a service knowledge dashboard to consolidate IT data repositories and leverage existing tools. It recommends creating a three-layer system: 1) an operational layer for discovery and monitoring data, 2) a tactical layer to transform data using Excel and import/export, and 3) a strategic layer using a relational database to build relationships and generate business insights. Normalizing data across repositories is key. The dashboard would present information graphically using a collaboration framework to customize views for different audiences and add new metrics over time.
Intel Server & Data Center Optimization PlanUmair Mohsin
Intel is managing its large information technology infrastructure through the economic downturn by focusing on data center optimization and efficiencies. Key strategies include standardizing server designs, improving utilization through virtualization and server refresh, and optimizing data center locations. This allows Intel to reduce costs while continuing to support business operations and productivity.
Webinar: Improving Time to Value for Enterprise Big Data AnalyticsStorage Switzerland
In this webinar Storage Switzerland, Hitachi Data Systems and Brocade discuss why enterprises need to invest in big data analytics, how they can make that investment and what are some of the key requirements in designing a system.
Optimizing IT Costs & Services With Big Data (Little Effort!) - Case Studies ...TeamQuest Corporation
IT organizations have a wealth of Service Management and Service Delivery tools, processes and metrics that typically exist in relative isolation. This session will present detailed real-life examples of how existing tools and metrics can be brought together using big data techniques to optimize costs and performance of IT environments.
Today’s infrastructure situation is increasingly becoming virtualized everything (servers, storage, desktops, networks) with clouds growing in importance has given way to the term Software Defined Data Center (SDDC). The SDDC has it’s own challenges. Challenges like whether or not to include legacy or non-virtual resources, interoperability of multiple vendors’ converged infrastructure systems, and the management of SDDC remains a mystery.
The document provides an overview of a presentation about Intacct, a cloud-based accounting system. The presentation covers the differences between on-premise and cloud-based systems, introduces Intacct and its key features, and demonstrates the accounting functions and flexibility available in Intacct. The goal is to show attendees how Intacct can provide visibility into financial data and help organizations achieve a strong return on investment.
Congress 2012: Enterprise Cloud Adoption – an Evolution from Infrastructure ...eurocloud
The document discusses enterprise cloud adoption trends. It notes that 57% of enterprises use SaaS and 38% have adopted PaaS. Common applications migrated to the cloud include test/development, disaster recovery, email/collaboration, and analytics. Enterprises seek the cloud's flexible infrastructure and ability to bring products to market quicker. While cloud adoption is increasing, IT departments struggle with legacy systems and a lack of resources and agility. The cloud offers opportunities to focus more on information and using data for innovation.
The document discusses building a service knowledge dashboard to consolidate IT data repositories and leverage existing tools. It recommends creating a three-layer system: 1) an operational layer for discovery and monitoring data, 2) a tactical layer to transform data using Excel and import/export, and 3) a strategic layer using a relational database to build relationships and generate business insights. Normalizing data across repositories is key. The dashboard would present information graphically using a collaboration framework to customize views for different audiences and add new metrics over time.
Intel Server & Data Center Optimization PlanUmair Mohsin
Intel is managing its large information technology infrastructure through the economic downturn by focusing on data center optimization and efficiencies. Key strategies include standardizing server designs, improving utilization through virtualization and server refresh, and optimizing data center locations. This allows Intel to reduce costs while continuing to support business operations and productivity.
Webinar: Improving Time to Value for Enterprise Big Data AnalyticsStorage Switzerland
In this webinar Storage Switzerland, Hitachi Data Systems and Brocade discuss why enterprises need to invest in big data analytics, how they can make that investment and what are some of the key requirements in designing a system.
How To Break “The Cycle” and Move To Hyperconvergence
In this webinar, Storage Switzerland's George Crump and SimpliVity's Adam Sekora compare and contrast the suitability of SANs vs. hyperconverged architectures; examine the benefits of consolidating and reducing the number of discrete IT devices in lieu of hyperconverged infrastructure; and discuss the merits of simplified IT and its impact on technology refresh initiatives.
BI Forum 2009 - Principy architektury MPP datového skladuOKsystem
The document summarizes a presentation about data warehouse appliances and the principles of designing a data warehouse on an "EDWH appliance" platform. It discusses how appliances provide optimized, pre-tuned systems for BI workloads. It also presents the architecture of a massively parallel processing (MPP) data warehouse for operational data warehousing, including features like shared-nothing architecture and parallel query execution.
This document provides an overview of virtual data centers and how to select a virtual data center provider. It discusses that virtual data centers offer scalable computing resources that can be customized to meet business needs. When selecting a provider, businesses should consider their hosting requirements, network uptime guarantees, power/cooling redundancy, and security solutions. Virtual data centers can boost business growth by providing cost savings, scalability, resilience, insights, and control over IT resources.
Global data is on the rise, in terms of scale, complexity & functionality, paving a way for data centers to be more intuitive, coherent, holistic, & easily accessible.
MT09 Using Dell’s HPC Cloud Solutions to maximize HPC utilization while reduc...Dell EMC World
Separate the hype from the reality of Cloud in HPC.
Building upon our Dell EMC HPC Portfolio, come deep dive into Dell’s hybrid cloud model for HPC. Built on private and public cloud models, Dell EMC's Hybrid HPC Cloud Solutions can help you optimize your CapEx and OpEx costs, while creating a flexible computing environment that adapts to dynamic HPC workloads, while ensuring resource availability. Maximize your RoI through a Hybrid HPC Cloud that enables your innovation and competitiveness.
MT125 Virtustream Enterprise Cloud: Purpose Built to Run Mission Critical App...Dell EMC World
General-purpose public clouds try to be all things to all people. But do you really want to bet your business on them?
Attend this session to learn about Virtustream Enterprise Cloud, designed and built for mission-critical enterprise applications. Transform your entire IT estate with an enterprise-class cloud that’s used by many Fortune 500 and Global 2000 organizations.
This document discusses DataDirect Networks (DDN) and its Storage Fusion Processing technology. It provides an overview of DDN, including its history, products, and customers. It then discusses Storage Fusion Processing and how it embeds data-intensive applications directly into storage infrastructure. The document also briefly introduces analytics and Apache Hadoop, and notes that DDN's hScaler solution can accelerate Hadoop performance. It concludes by emphasizing how DDN solutions can maximize value and minimize costs for customers.
The past year was punctuated by significant advancements in Apache Hadoop and increasingly wider adoption of Hadoop technology across the enterprise. Companies are continuing to use Hadoop in exciting new ways to better serve their customers, inform product development and drive operational efficiency like never before. Join Mike Olson, founder and CEO of Cloudera, as he shares his twelve major predictions for Hadoop in 2012. He will also unveil predictions from key industry analysts.
Olson will discuss predictions for:
- Where new opportunities for Hadoop will be found within the enterprise
- How new projects being developed for and on Apache Hadoop will expand data analysis capabilities
- Ways that Apache Hadoop will help companies solve short term and long term business challenges
How To Select a DAM System: Best Practices, Pitfalls To Avoid, and a Look at the Market in 2013
In the market for a Digital & Media Asset Management system? Thinking about divorcing your current vendor? Looking for a better way to manage your brand assets, and wondering if there's an online dating site that will allow you to use the perfect algorithm, matching your needs to the best possible solution? This session is for you.
Rather than selecting a new technology based on a ratings spreadsheet or whom your boss plays golf with, we'll look at a better path toward selecting DAM technology. You'll learn about the most important criteria when creating a shortlist, what should really be in that (brief) RFP, and how to plan a vendor demo that's meaningful and useful to you. Led by The Real Story Group, a buyer-focused, vendor-independent research consultancy, this session will deal the straight dope on pitfalls to avoid and solid paths to follow.
Modernising the data warehouse - January 2019Phil Watt
I was invited to present on Modernising the Data Warehouse to post-graduate students at the University of Melbourne in January 2019. These slides describe my experience and perspective on this topic that many, if not most, large organisations face. At Escient, we can help organisations navigate this area, and drive better outcomes from data.
eCloudChain's mission is to enable
enterprises to transform their
businesses by providing cuttingedge cloud-computing services including premier Consulting &
Business advisories,
Cloud monitoring & Cloud Migration services.
Univa products optimize the use of shared, high-demand data center resources, changing the game by continuously and proactively improving workload flow to keep costs under control, deliver results faster, ensure workload right-put, and improve use of multi-core & large memory systems
Leaders in the Cloud: Identifying Cloud Business Value for CustomersOpSource
Sand Hill Group is a consulting firm that provides investment advice, conferences, and research on enterprise software and cloud computing trends. They conducted a survey of 511 IT executives and 40 confidential interviews with cloud leaders from various industries. The research found that the top driver for cloud adoption is increased agility. While security concerns remain for some, others are seeing the cloud as safer than on-premise systems. The use of IaaS, PaaS and SaaS is growing for tasks like collaboration and development work. Barriers like risk aversion and skills gaps are slowing some organizations, but cloud investments are expected to increase significantly in coming years.
"ESG Whitepaper: Hitachi Data Systems VSP G1000: - Pushing the Functionality ...Hitachi Vantara
The document is a white paper that discusses the Hitachi Virtual Storage Platform G1000 storage system. It provides an overview of the business demands driving a need for more software-defined and agile storage capabilities. It then describes the key capabilities of the Hitachi Virtual Storage Platform G1000, which is presented as a solution that provides enterprise-class storage software and functionality to help customers address these business needs. The white paper evaluates the applicability of this storage platform for various market segments.
Defining the Value of a Modular, Scale out Storage ArchitectureNetApp
To date, the implementation of enterprise storage systems has evolved around traditional storage array architectures. There are many situations where having the option to scale the same enterprise storage system out, up or both is a better way forward than continuing to rely on the traditional scale up model. Here we compare the approaches, pointing out the significant operational and economic advantages of the new scale out paradigms.
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.
Reduce Costs and Complexity with Backup-Free StorageHitachi Vantara
This document discusses how organizations can reduce costs and complexity with backup-free storage. Traditional backup operations are stressed by the growth of unstructured data. Numerous systems with large files and duplicate data increase backup times and hurt production system performance. Costs and complexity rise as more backup instances, tapes, and offsite storage need managing. Archiving static data to reduce total backup volume by at least 30% can help address these issues. Attending the webcast discussed would allow learning how to lower expenses, control maintenance costs, simplify management complexity, and reduce backup volumes, times, costs and effort through backup-free storage approaches.
The Future of Enterprise IT: DevOps and Data Lifecycle Managementactifio
Enterprise IT is changing, and with it are the ways we manage our data and develop new applications. Infrastructure has become commoditized, while applications have become more strategic to the business, presenting new challenges for organizations to overcome. The solution: DevOps and Data Lifecycle Management.
In this slideshow we'll define the role of DevOps and Data Lifecycle Management within the enterprise and explore how they can transform businesses to enable faster application development, shorter time to market, and dramatic savings in infrastructure.
Scalar, nimble, brocade, commvault, star trek into darkness, toronto, 05 16 2013patmisasi
This document provides information on several topics:
1. It introduces Scalar Decisions, a Canadian systems integrator focused on data center solutions with $120M+ in annual revenue.
2. It discusses Brocade, a network equipment manufacturer with over $2B in annual revenue and 93% of the Canadian SAN market share.
3. It presents requirements customers want from next-generation networks, including speed, cost, quality and risk.
Power the Creation of Great Work Solution ProfileHitachi Vantara
This solution discusses how quality and speed are critical in solving storage and data management bottlenecks, delivering cost-effective solutions that are highly scalable for post-production tasks. Whether CGI animation, rendering, or transcoding, Hitachi Data Systems powers digital workflows, enabling extraordinary creative and business achievements with HUS and HNAS infrastructure offerings. For more information on Hitachi Unified Storage and Hitachi NAS Platform 4000 Series please visit: http://www.hds.com/products/file-and-content/network-attached-storage/?WT.ac=us_mg_pro_hnasp
Traditional BI needs to change to handle increasing data complexity, with insights now requiring both intelligence and large amounts of data. The Lambda architecture and Hadoop/Spark platforms are well suited for big data and real-time stream processing needs, allowing for a data lake approach where data gravity and latency/bandwidth matter. DevOps practices and cloud deployment help enable automation engines to extract value from both batch and real-time data sources.
How the Big Data of APM can Supercharge DevOpsCA Technologies
This document discusses application performance management (APM) challenges in modern digital environments and introduces Application Behavior Analytics (ABA) as a solution. ABA uses automatic configuration, anomaly detection on multi-variant metrics, and pattern matching to identify problems earlier, reduce false alarms, and pinpoint root causes. It is included with upgrades to CA APM version 9.5 or higher to provide fully integrated operational intelligence for application triage.
How To Break “The Cycle” and Move To Hyperconvergence
In this webinar, Storage Switzerland's George Crump and SimpliVity's Adam Sekora compare and contrast the suitability of SANs vs. hyperconverged architectures; examine the benefits of consolidating and reducing the number of discrete IT devices in lieu of hyperconverged infrastructure; and discuss the merits of simplified IT and its impact on technology refresh initiatives.
BI Forum 2009 - Principy architektury MPP datového skladuOKsystem
The document summarizes a presentation about data warehouse appliances and the principles of designing a data warehouse on an "EDWH appliance" platform. It discusses how appliances provide optimized, pre-tuned systems for BI workloads. It also presents the architecture of a massively parallel processing (MPP) data warehouse for operational data warehousing, including features like shared-nothing architecture and parallel query execution.
This document provides an overview of virtual data centers and how to select a virtual data center provider. It discusses that virtual data centers offer scalable computing resources that can be customized to meet business needs. When selecting a provider, businesses should consider their hosting requirements, network uptime guarantees, power/cooling redundancy, and security solutions. Virtual data centers can boost business growth by providing cost savings, scalability, resilience, insights, and control over IT resources.
Global data is on the rise, in terms of scale, complexity & functionality, paving a way for data centers to be more intuitive, coherent, holistic, & easily accessible.
MT09 Using Dell’s HPC Cloud Solutions to maximize HPC utilization while reduc...Dell EMC World
Separate the hype from the reality of Cloud in HPC.
Building upon our Dell EMC HPC Portfolio, come deep dive into Dell’s hybrid cloud model for HPC. Built on private and public cloud models, Dell EMC's Hybrid HPC Cloud Solutions can help you optimize your CapEx and OpEx costs, while creating a flexible computing environment that adapts to dynamic HPC workloads, while ensuring resource availability. Maximize your RoI through a Hybrid HPC Cloud that enables your innovation and competitiveness.
MT125 Virtustream Enterprise Cloud: Purpose Built to Run Mission Critical App...Dell EMC World
General-purpose public clouds try to be all things to all people. But do you really want to bet your business on them?
Attend this session to learn about Virtustream Enterprise Cloud, designed and built for mission-critical enterprise applications. Transform your entire IT estate with an enterprise-class cloud that’s used by many Fortune 500 and Global 2000 organizations.
This document discusses DataDirect Networks (DDN) and its Storage Fusion Processing technology. It provides an overview of DDN, including its history, products, and customers. It then discusses Storage Fusion Processing and how it embeds data-intensive applications directly into storage infrastructure. The document also briefly introduces analytics and Apache Hadoop, and notes that DDN's hScaler solution can accelerate Hadoop performance. It concludes by emphasizing how DDN solutions can maximize value and minimize costs for customers.
The past year was punctuated by significant advancements in Apache Hadoop and increasingly wider adoption of Hadoop technology across the enterprise. Companies are continuing to use Hadoop in exciting new ways to better serve their customers, inform product development and drive operational efficiency like never before. Join Mike Olson, founder and CEO of Cloudera, as he shares his twelve major predictions for Hadoop in 2012. He will also unveil predictions from key industry analysts.
Olson will discuss predictions for:
- Where new opportunities for Hadoop will be found within the enterprise
- How new projects being developed for and on Apache Hadoop will expand data analysis capabilities
- Ways that Apache Hadoop will help companies solve short term and long term business challenges
How To Select a DAM System: Best Practices, Pitfalls To Avoid, and a Look at the Market in 2013
In the market for a Digital & Media Asset Management system? Thinking about divorcing your current vendor? Looking for a better way to manage your brand assets, and wondering if there's an online dating site that will allow you to use the perfect algorithm, matching your needs to the best possible solution? This session is for you.
Rather than selecting a new technology based on a ratings spreadsheet or whom your boss plays golf with, we'll look at a better path toward selecting DAM technology. You'll learn about the most important criteria when creating a shortlist, what should really be in that (brief) RFP, and how to plan a vendor demo that's meaningful and useful to you. Led by The Real Story Group, a buyer-focused, vendor-independent research consultancy, this session will deal the straight dope on pitfalls to avoid and solid paths to follow.
Modernising the data warehouse - January 2019Phil Watt
I was invited to present on Modernising the Data Warehouse to post-graduate students at the University of Melbourne in January 2019. These slides describe my experience and perspective on this topic that many, if not most, large organisations face. At Escient, we can help organisations navigate this area, and drive better outcomes from data.
eCloudChain's mission is to enable
enterprises to transform their
businesses by providing cuttingedge cloud-computing services including premier Consulting &
Business advisories,
Cloud monitoring & Cloud Migration services.
Univa products optimize the use of shared, high-demand data center resources, changing the game by continuously and proactively improving workload flow to keep costs under control, deliver results faster, ensure workload right-put, and improve use of multi-core & large memory systems
Leaders in the Cloud: Identifying Cloud Business Value for CustomersOpSource
Sand Hill Group is a consulting firm that provides investment advice, conferences, and research on enterprise software and cloud computing trends. They conducted a survey of 511 IT executives and 40 confidential interviews with cloud leaders from various industries. The research found that the top driver for cloud adoption is increased agility. While security concerns remain for some, others are seeing the cloud as safer than on-premise systems. The use of IaaS, PaaS and SaaS is growing for tasks like collaboration and development work. Barriers like risk aversion and skills gaps are slowing some organizations, but cloud investments are expected to increase significantly in coming years.
"ESG Whitepaper: Hitachi Data Systems VSP G1000: - Pushing the Functionality ...Hitachi Vantara
The document is a white paper that discusses the Hitachi Virtual Storage Platform G1000 storage system. It provides an overview of the business demands driving a need for more software-defined and agile storage capabilities. It then describes the key capabilities of the Hitachi Virtual Storage Platform G1000, which is presented as a solution that provides enterprise-class storage software and functionality to help customers address these business needs. The white paper evaluates the applicability of this storage platform for various market segments.
Defining the Value of a Modular, Scale out Storage ArchitectureNetApp
To date, the implementation of enterprise storage systems has evolved around traditional storage array architectures. There are many situations where having the option to scale the same enterprise storage system out, up or both is a better way forward than continuing to rely on the traditional scale up model. Here we compare the approaches, pointing out the significant operational and economic advantages of the new scale out paradigms.
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.
Reduce Costs and Complexity with Backup-Free StorageHitachi Vantara
This document discusses how organizations can reduce costs and complexity with backup-free storage. Traditional backup operations are stressed by the growth of unstructured data. Numerous systems with large files and duplicate data increase backup times and hurt production system performance. Costs and complexity rise as more backup instances, tapes, and offsite storage need managing. Archiving static data to reduce total backup volume by at least 30% can help address these issues. Attending the webcast discussed would allow learning how to lower expenses, control maintenance costs, simplify management complexity, and reduce backup volumes, times, costs and effort through backup-free storage approaches.
The Future of Enterprise IT: DevOps and Data Lifecycle Managementactifio
Enterprise IT is changing, and with it are the ways we manage our data and develop new applications. Infrastructure has become commoditized, while applications have become more strategic to the business, presenting new challenges for organizations to overcome. The solution: DevOps and Data Lifecycle Management.
In this slideshow we'll define the role of DevOps and Data Lifecycle Management within the enterprise and explore how they can transform businesses to enable faster application development, shorter time to market, and dramatic savings in infrastructure.
Scalar, nimble, brocade, commvault, star trek into darkness, toronto, 05 16 2013patmisasi
This document provides information on several topics:
1. It introduces Scalar Decisions, a Canadian systems integrator focused on data center solutions with $120M+ in annual revenue.
2. It discusses Brocade, a network equipment manufacturer with over $2B in annual revenue and 93% of the Canadian SAN market share.
3. It presents requirements customers want from next-generation networks, including speed, cost, quality and risk.
Power the Creation of Great Work Solution ProfileHitachi Vantara
This solution discusses how quality and speed are critical in solving storage and data management bottlenecks, delivering cost-effective solutions that are highly scalable for post-production tasks. Whether CGI animation, rendering, or transcoding, Hitachi Data Systems powers digital workflows, enabling extraordinary creative and business achievements with HUS and HNAS infrastructure offerings. For more information on Hitachi Unified Storage and Hitachi NAS Platform 4000 Series please visit: http://www.hds.com/products/file-and-content/network-attached-storage/?WT.ac=us_mg_pro_hnasp
Traditional BI needs to change to handle increasing data complexity, with insights now requiring both intelligence and large amounts of data. The Lambda architecture and Hadoop/Spark platforms are well suited for big data and real-time stream processing needs, allowing for a data lake approach where data gravity and latency/bandwidth matter. DevOps practices and cloud deployment help enable automation engines to extract value from both batch and real-time data sources.
How the Big Data of APM can Supercharge DevOpsCA Technologies
This document discusses application performance management (APM) challenges in modern digital environments and introduces Application Behavior Analytics (ABA) as a solution. ABA uses automatic configuration, anomaly detection on multi-variant metrics, and pattern matching to identify problems earlier, reduce false alarms, and pinpoint root causes. It is included with upgrades to CA APM version 9.5 or higher to provide fully integrated operational intelligence for application triage.
What Big Data Folks Need to Know About DevOpsMatt Ray
The document discusses DevOps and how it relates to big data. It defines DevOps as combining tools and culture to enable automation, infrastructure as code, and collaboration between developers and system administrators. It promotes principles like idempotence, data-driven configuration, sane defaults, and hackability. The document argues that an API-driven approach with Chef can help implement DevOps practices for big data environments.
Apache Ambari is an open-source tool for provisioning, managing, and monitoring Hadoop clusters. It allows users to deploy Hadoop clusters, install and manage services, configure settings, and perform rolling upgrades with minimal downtime. Ambari 2.4 includes new features like role-based access control, Grafana integration for visualization, log search capabilities, and improved upgrade workflows.
DevOps for Big Data - Data 360 2014 ConferenceGrid Dynamics
This document discusses implementing continuous delivery for big data applications using Hadoop, Vertica, and Tableau. It describes Grid Dynamics' initial state of developing these applications in a single production environment. It then outlines their steps to implement continuous delivery, including using dynamic environments provisioned by Qubell to enable automated testing and deployment. This reduced risks and increased efficiency by allowing experimentation and validation prior to production releases.
Hellmar Becker, a DevOps engineer, presented on securing Hadoop in an enterprise context at a summit in Dublin on April 14, 2016. The challenges of securing Hadoop include its default lack of security and risks of data loss, privacy breaches, and system intrusions. ING uses Hadoop for data storage, advanced analytics, real-time processing, and reporting. To secure Hadoop, ING implemented perimeter security, integrated Hadoop with its Active Directory for authentication and authorization using Ranger and Kerberos, and developed custom scripts to sync user groups efficiently with Ranger's limitations. Further improvements could include integrating OS and Hadoop security and using Identity and Policy Authentication for a centralized user database.
Dev ops for big data cluster management toolsRan Silberman
What are the tools that we can find to day to manage Hadoop cluster and its ecosystem?
There are two tools ready today:
Cloudera Manager and Ambari from Hortonworks.
In this presentation I explain what they do and why to use them, as well as Pros. and Cons.
Apache Atlas provides centralized metadata services and cross-component dataset lineage tracking for Hadoop components. It aims to enable transparent, reproducible, auditable and consistent data governance across structured, unstructured, and traditional database systems. The near term roadmap includes dynamic access policy driven by metadata and enhanced Hive integration. Apache Atlas also pursues metadata exchange with non-Hadoop systems and third party vendors through REST APIs and custom reporters.
Apache Atlas provides metadata services and a centralized metadata repository for Hadoop platforms. It aims to enable data governance across structured and unstructured data through hierarchical taxonomies. Upcoming features include expanded dataset lineage tracking and integration with Apache Kafka and Ranger for dynamic access policy management. Challenges of big data management include scaling traditional tools to handle large volumes of entities and metadata, and Atlas addresses this through its decentralized and metadata-driven approach.
The document discusses extending data governance in Hadoop ecosystems using Apache Atlas and partner solutions including Waterline Data, Attivo, and Trifacta. It highlights how these vendors have adopted Apache's open source community commitment and are integrating their products with Atlas to provide a rich, innovative community with a common metadata store backed by Atlas. The session will showcase how these three vendors extend governance capabilities by integrating their products with Atlas.
The document discusses how Apache Ambari can be used to streamline Hadoop DevOps. It describes how Ambari can be used to provision, manage, and monitor Hadoop clusters. It highlights new features in Ambari 2.4 like support for additional services, role-based access control, management packs, and Grafana integration. It also covers how Ambari supports automated deployment and cluster management using blueprints.
Hadoop & DevOps : better together by Maxime Lanciaux.
From deployment automation with tools (like jenkins, git, maven, ambari, ansible) to full automation with monitoring on HDP2.5+.
Effective data governance is imperative to the success of Data Lake initiatives. Without governance policies and processes, information discovery and analysis is severely impaired. In this session we will provide an in-depth look into the Data Governance Initiative launched collaboratively between Hortonworks and partners from across industries. We will cover the objectives of Data Governance Initiatives and demonstrate key governance capabilities of the Hortonworks Data Platform.
The document describes an upcoming seminar on ITIL Foundation Certification. It will provide an overview of IT Service Management and ITIL, including the key concepts and areas of ITIL. Attendees will learn about the ITIL service lifecycle and why organizations implement ITIL. The seminar will also help prepare attendees for the ITIL Foundation Certification exam.
ITIL v3 Foundation covers core concepts of ITIL including services, service management, processes, functions, roles, and the service lifecycle. Key concepts include service strategy, service design, service transition, service operation, and continual service improvement. The document summarizes several ITIL processes related to service transition including change management, service asset and configuration management, and release and deployment management.
DevOps: From Industry Buzzword to Real Implementation / Real BenefitsCA Technologies
The document discusses strategies for large, regulated enterprises to adopt DevOps practices successfully. It begins with an introduction noting that while DevOps pilots may be successful, scaling them enterprise-wide poses new challenges. A panel discussion then features practitioners from large healthcare and banking organizations sharing their DevOps adoption experiences, strategies that worked and didn't work, and how to assess organizational readiness. An industry analyst discusses market trends regarding environment management, release management and related technologies. The panelists provide insights on overcoming obstacles to ensure better business outcomes through new technologies.
This document provides an overview of Apache Atlas and how it addresses big data governance issues for enterprises. It discusses how Atlas provides a centralized metadata repository that allows users to understand data across Hadoop components. It also describes how Atlas integrates with Apache Ranger to enable dynamic security policies based on metadata tags. Finally, it outlines new capabilities in upcoming Atlas releases, including cross-component data lineage tracking and a business taxonomy/catalog.
Enterprise Capacity Optimization - Capacity Management Over EverythingTeamQuest Corporation
Traditional performance analysis and capacity planning encompassed deep-dive, technology domain-specific metrics, tools and skillsets; limiting feasibility to only the largest, most critical enterprise resources. Optimizing today’s complex and dynamic environments with almost all resources dynamic and virtualized or cloud-based - requires a new process. Discover a flexible, automated and business service-aligned process. View real-world examples of businesses optimizing enterprise capacity by marrying existing technology, business, service, asset, financial, power and other metrics. This presentation was delivered at the Gartner IT Infrastructure & Operations Management Summit.
Hear a new approach to predicting IT and business performance. Join TeamQuest Director of Market Development Dave Wagner as he explains why old, traditional methods are failing.
Wagner will present what he calls the "Moneyball treatment" (loosely based on sabremetrics - an approach to measuring and analyzing complex, previously unappreciated data relationships, famously first applied to sports performance and played out in the movie, "Moneyball").
Learn ways to better identify relationships across widely disparate data sets. Predict IT and business performance based on these relationships combined with historical and current performance. Real predictions cannot be based on simple trending approaches because they don’t factor the ugly realities associated with resource contention.
Enterprise Architecture in the Era of Big Data and Quantum ComputingKnowledgent
Deck from April 2014 Big Data Palooza Meetup sponsored by Knowledgent. Enterprise Architect James Luisi spoke
Summary: Several characteristics identify the presence of big data. Invariably as new use cases emerge, new products emerge to address them. At this point, there are so many use cases, and so many products, that frameworks to organize and manage them are necessary. A couple of examples of useful frameworks to manage and organize include families of use cases and architectural disciplines.
“Killer Apps” have long driven explosive IT technology growth; from office suites and PCs to web browsers, distributed servers, and networks. Each technology adoption cycle happens ever faster, with concomitant increases in complexity, cost, and performance optimization challenges. Virtualization, Cloud and Software Defined Data Centers (SDDC) raise the bar to new heights. This presentation will present real and conceptual examples of analytics to help automate, align, and accelerate IT optimization in support of business services.
The document provides an overview of a presentation given by Phyllis Doig of EMC Corporation on building the case for new technology projects. The presentation covers defining business requirements, analyzing solution options through a requirements matrix, and estimating costs and resources through templates. The goal is to provide a standardized, repeatable process for evaluating IT initiatives at EMC.
Boost Performance with Scala – Learn From Those Who’ve Done It! Cécile Poyet
Scalding is a scala DSL for Cascading. Run on Hadoop, it’s a concise, functional, and very efficient way to build big data applications. One significant benefit of Scalding is that it allows easy porting of Scalding apps from MapReduce to newer, faster execution fabrics.
In this webinar, Cyrille Chépélov, of Transparency Rights Management, will share how his organization boosted the performance of their Scalding apps by over 50% by moving away from MapReduce to Cascading 3.0 on Apache Tez. Dhruv Kumar, Hortonworks Partner Solution Engineer, will then explain how you can interact with data on HDP using Scala and leverage Scala as a programming language to develop Big Data applications.
Boost Performance with Scala – Learn From Those Who’ve Done It! Cécile Poyet
This document provides information about using Scalding on Tez. It begins with prerequisites for using Scalding on Tez, including having a YARN cluster, Cascading 3.0, and the TEZ runtime library in HDFS. It then discusses setting memory and Java heap configuration flags for Tez jobs run through Scalding. The document provides a mini-howto for using Scalding on Tez in two steps - configuring the build.sbt and assembly.sbt files and setting some job flags. It discusses challenges encountered in practice and provides tips and an example Scalding on Tez application.
Boost Performance with Scala – Learn From Those Who’ve Done It! Hortonworks
This document provides information about using Scalding on Tez. It begins with prerequisites for using Scalding on Tez, including having a YARN cluster, Cascading 3.0, and the TEZ runtime library in HDFS. It then discusses setting memory and Java heap configuration flags for Tez jobs in Scalding. The document provides a mini-tutorial on using Scalding on Tez, covering build configuration, job flags, and challenges encountered in practice like Guava version mismatches and issues with Cascading's Tez registry. It also presents a word count plus example Scalding application built to run on Tez. The document concludes with some tips for debugging Tez jobs in Scalding using Cascading's
The Build vs. Buy Decision for SaaS DeliveryOpSource
The webinar discussed the build vs. buy decision for SaaS delivery. It covered the key issues to consider in building infrastructure internally versus outsourcing to a service provider. Speakers from OpSource and Granicus discussed their experiences. Attendees learned about evaluating their needs and responsibilities for building internally, and what capabilities and benefits they should expect from an outsourced solution. A decision making process was outlined to help compare the build vs. buy options based on factors important to the business.
The document discusses key challenges in IT transformation including financial constraints, legacy infrastructure issues, lack of processes, and need for technical skills updates. It identifies quick wins like implementing change control and architectural blueprints. New opportunities include business-IT collaboration and proliferation of technologies. The way forward involves reducing distractions, implementing quick wins, and developing strategic and tactical plans covering people, processes, and technology. This would help build an agile IT environment leveraging approaches like cloud, outsourcing, and maturity models.
The document discusses digital transformation and overcoming barriers to innovation for enterprises. It identifies common blockers such as culture, skills, organization structure, finance, leadership, and feedback systems. It then provides examples of how companies can address these blockers by focusing on areas like training, compensation, shifting from project-based to product-based teams, and moving from capital to operating expenditures. The document advocates for a pathway to digital transformation that emphasizes speed, scale, and strategic priorities through principles of cloud native architecture.
This document discusses tactics, technology, and economics for digital transformation. It begins by outlining an approach using unified demand and change management to deliver value through products instead of projects. This involves limiting work in progress, visualizing work across teams on Kanban-like boards, and prioritizing based on the cost of delay. The document then discusses using balanced product teams that blend agile, lean startup, and user-centered design methodologies. These cross-functional teams deliver value through minimum viable products, testing assumptions frequently with customers, and adjusting direction based on learning. The goals are to deliver value fast and forever through working features released often without burning out the team.
Modern apps and services are leveraging data to change the way we engage with users in a more personalized way. Skyla Loomis talks big data, analytics, NoSQL, SQL and how IBM Cloud is open for data.
Learn more by visiting our Bluemix Hybrid page: http://ibm.co/1PKN23h
ICP for Data- Enterprise platform for AI, ML and Data ScienceKaran Sachdeva
IBM Cloud Private for Data, an ultimate platform for all AI, ML and Data Science workloads. Integrated analytics platform based on Containers and micro services. Works with Kubernetes and dockers, even with Redhat openshift. Delivers the variety of business use cases in all industries- FS, Telco, Retail, Manufacturing etc
Real-Time With AI – The Convergence Of Big Data And AI by Colin MacNaughtonSynerzip
Making AI real-time to meet mission-critical system demands put a new spin on your architecture. To deliver AI-based applications that will scale as your data grows takes a new approach where the data doesn’t become the bottleneck. We all know that the deeper the data the better the results and the lower the risk. However, doing thousands of computations on big data requires new data structures and messaging to be used together to deliver real-time AI. During this session will look at real reference architectures and review the new techniques that were needed to make AI Real-Time.
Pivotal the new_pivotal_big_data_suite_-_revolutionary_foundation_to_leverage...EMC
The document discusses Pivotal's big data suite and business data lake offerings. It provides an overview of the components of a business data lake, including storage, ingestion, distillation, processing, unified data management, and action components. It also defines various data processing approaches like streaming, micro-batching, batch, and real-time response. The goal is to help organizations build analytics and transactional applications on big data to drive business insights and revenue.
Business intelligence (BI) on the cloud allows companies to access BI tools, analytics, and data through cloud computing rather than maintaining expensive on-premise software and hardware. Key benefits of BI on the cloud include scalability, lower upfront costs, and easier access to BI capabilities. Some challenges are that cloud BI requires IT involvement and customization of solutions, and user adoption can be difficult compared to standard business applications.
The document discusses the benefits of moving college IT systems to the cloud. It outlines 3 main benefits: 1) Expenditure management by shifting to a pay-per-use model and reducing fixed costs, 2) Improving quality by gaining more capacity and services to better serve customers, and 3) Enhancing innovation and agility to keep up with changing needs. Potential risks like data security, legal compliance, and reliability of partners are also addressed, but are described as manageable challenges. The document concludes that building shared services in the cloud will enable easier process innovation across multiple college locations compared to maintaining separate on-site systems.
Designing Effective Storage Strategies to Meet Business NeedsBrian Anderson
In this presentation I presented ideas on designing a modern tiered storage infrastructure. I covered the basic strategies and requirements of tiers 1/2/3, object-based, cloud, and edge storage, along with the importance of categorizing data sets so that you can ultimately build a solid blueprint and business case. Other topics included transitioning to an effective tiered storage model, controlling storage growth, and emerging ideas and technologies for data storage.
Similar to Big Data - Marrying Service Management With Service Delivery - #Pink13 (20)
Vendor Selection Matrix - Capacity Management - Top 15 Vendors in 2016TeamQuest Corporation
Independent analyst report on the top 15 vendors in capacity management software and SaaS. More than 1300 IT buyers of capacity management software were surveyed and more than 20,000 data points collected and evaluated. Vendors are ranked in terms of:
*Vision & Go-To-Market
*Innovation & Partner Ecosystem
*Company Viability & Execution Capabilities
*Differentiation & USP
*Breadth & Depth of Solution Offering
*Market Share & Growth
*Customer Satisfaction & Mindshare
*Price vs Value
TeamQuest was ranked #2 overall and has the highest scores for customer satisfaction and price vs value in the industry.
Eliminate Turbulence Between IT and the Business with Business Value DashboardsTeamQuest Corporation
Learn how to communicate IT’s value to business stakeholders. Gain an understanding of business value metrics (BVM) and how to leverage BVMs to translate operational data into business-driving information. Discover how to use Business Value Dashboards (BVD) to add context, algorithms, and business dimensions to IT data. Learn best practices for managing your BVD to align with the business long-term. Give executives the answers they need – clearly displayed, anytime, anywhere – to drive results.
IT Maturity: Lady Gaga and her Effect on Infrastructure Performance and Capac...TeamQuest Corporation
TeamQuest shares a story about the power of Lady Gaga and her Little Monsters on your infrastructure. See how you can combine your performance and capacity capabilities to mitigate risk, keep your website and services running, and gain the confidence of the business.
Adopt more mature processes to increase agility, increase efficiency, and be competitive. Your tools must help you observe your environment, resolve problems fast, predict upcoming hiccups, and guide your decisions so you can balance performance, cost and risk.
The maturity model can help you with virtual machine management, cloud deployment, infrastructure planning and monitoring.
Visit the TeamQuest website for more information - http://itsoemail.teamquest.com/l/33842/2015-06-24/24vdfy
To invest, or not to invest? That...is an easy question. Unless you have money to burn, you can't afford NOT to invest in IT Service Optimization solutions. Millions and millions of dollars are invested in IT infrastructure. If it's not optimized, it's like driving a Maserati on a dirt road.
Forewarned, forearmed...to be prepared is half the victory. Take a look at the anatomy of a disaster and the anatomy of a success. Spend more time on creating a great user experience versus having to explain why your new service isn't working as advertised. IT and business can collaborate to forecast business demand to accurately predict IT requirements to support business demand
There are hundred of thousands...if not millions of reasons to optimize IT. Downtime costs money, a lot of money. Imagine if you could achieve these results: record sales, no IT performance issues, reduce annual IT budget by 25%, have record number of transactions with no increase in call center activity, gain 4 hrs/day by preventing performance issues. Mature IT Service Optimization process improve IT Efficiency, Business Productivity, Workforce Productivity, Agility, Service Delivery Risks, and New Service Implementations.
TeamQuest provides performance software and services that analyze data from various IT monitoring and management tools. It uses existing data collectors from these tools to deliver descriptive, diagnostic, predictive, and prescriptive analytics. This helps customers understand the impact of changes, have peace of mind, prevent failures through predictive analytics, and optimize their IT environment through prescriptive recommendations.
Automating IT Analytics to Optimize Service Delivery and Cost at Safeway - A ...TeamQuest Corporation
Dave Wagner, TeamQuest Advocate, and Chris Lynn, Safeway's Capacity and Performance Management, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches will be presented, including pros and cons. Most of the presentation will be real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000’s of servers and virtual servers and their applications.
Understanding the Real Value of IT and Proving it to the BusinessTeamQuest Corporation
CIOs want IT to demonstrate business value, but only 27% of those surveyed believe IT contributes to the company's strategic business goals. Find out how IT can effectively measure cost and value, properly plan for future business successes, and focus on business goals in this special report from Computer Weekly.
In IBM AIX environments, there are multiple data sources and there is a abundance of performance data, but what you need is actionable information:
- You need to know which servers are underutilized
- You need to know which servers have resource capacity issues
- You need to be able to quantify the waste to support business decisions
- Anticipate business trends, cycles, and demands and avoid unpleasant surprises
IT managers share that they and their organizations could be more mature in their service delivery efforts, affecting their overall IT efficiency. Companies typically tend to be more reactive in nature, allowing less than ten percent of their staff's time to be spent on proactive improvement efforts, like capacity planning and performance management. Proper capacity management has a positive impact across all IT areas, according to survey findings. Virtual machine management is not without its struggles, but proper planning is cited as a solution. Find out what else IT managers had to say about their state of capacity management and how it affects their ability to effectively plan, deliver and manage IT resources.
The document discusses how to perform capacity planning in three steps:
1. Determine service level requirements by defining workloads, units of work, and expected service levels.
2. Analyze current capacity by measuring service levels, resource usage, and workload impacts to identify constraints.
3. Plan for the future by forecasting changes and ensuring sufficient capacity through configuration changes.
Real-world examples are provided using a scheduling application and TeamQuest performance tools.
Our Monthly Health Check report easily contains Asset information alongside our risk registry items. This particular server’s history contains three previous capacity issues for CPU, Memory, and file system space. Our homegrown risk registry is used to track these items from identification through remediation. We track the date opened, why it was opened, our notes, and the closure reason. Notice that two of the issues were closed based on feedback from the Application Owner. While the memory issue was resolved by tuning Oracle’s SGA. This history is invaluable for our analysis as well as providing historical context for the application owner. We have too many applications and servers to track this by hand. We had to have a tracking tool, and it had to be integrated into our reporting tool. This was easily done with Performance Surveyor.