This document provides a summary of ESG Lab's validation of the Hitachi Content Platform portfolio, including Hitachi Content Platform (HCP), HCP Anywhere, and Hitachi Data Ingestor Remote Server (HDI). ESG Lab tested how these products can be integrated to provide scalable, secure storage and sharing of unstructured data across distributed environments. Key findings include:
1) HCP provides a massively scalable object storage system for private cloud storage, content distribution, and compliance. HCP Anywhere enables secure file sharing and HDI acts as a cache at remote sites, providing seamless access to HCP storage.
2) ESG Lab tested a simulated multi-tenant environment and found HCP's management
Capitalize on Big Data Through Hitachi InnovationHitachi Vantara
We are creating more digitized data than ever before. Big data is about gaining new business insight from expanded and previously untapped sources of information, including unstructured content, machine data logs and social media. This webcast will explain how Hitachi Data Systems delivers the infrastructure, services, content and partner solutions like SAP HANA to help you capitalize on this opportunity today. The webcast will also show how the combined companies of Hitachi, Ltd. are at the forefront of innovation for the world of big data of tomorrow. By viewing this webcast, you’ll learn how to: Use HDS infrastructure to better manage data centers for big data. Analyze content for enterprise dark data. Work with HDS partners and services to develop a comprehensive big data solution. For more information on our big data solutions please visit: http://www.hds.com/solutions/it-strategies/big-data/?WT.ac=us_mg_sol_bigdat
Introduction to Object Storage Solutions White PaperHitachi Vantara
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
Hitachi Data Systems offers advanced metadata management capabilities for Hitachi Content Platform (HCP) with the HCP custom object metadata enhancement tool.
The document discusses the challenges of mobility and allowing access to enterprise data from anywhere. It notes that a significant portion of corporate data now resides on mobile devices and the consumer cloud. This results in security, visibility, and control issues as well as the risk of exposing intellectual property or violating compliance policies. The solution presented is Hitachi Content Platform Anywhere, which allows users to sync, protect, and access enterprise data from mobile devices while providing IT with control and visibility over corporate data mobility.
Five Best Practices for Improving the Cloud ExperienceHitachi Vantara
This document summarizes a report on best practices for improving the cloud experience based on lessons learned from 232 global IT executives. The five best practices are: 1) Ensure cloud providers meet business and IT requirements through service level agreements. 2) Choose the right cloud service model based on needed control over security and data protection. 3) Use architectures that integrate cloud services with existing infrastructure. 4) Consider benefits beyond cost like improved operations and innovation. 5) Define business requirements for IT and have IT act as a cloud broker. The Hitachi Content Platform portfolio aligns with these practices by providing a secure, scalable cloud that meets business needs and accelerates cloud adoption.
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
Explains how backup-free storage reduces cost and complexity; provides benefits of Hitachi Content Platform; includes brief HDS backup use cases.
For more information on our Unstructured Data Management Solutions please check: http://www.hds.com/go/hitachi-abc-ebook-managing-data/
Build the Optimal Mainframe Storage ArchitectureHitachi Vantara
This document discusses the benefits of using a switched FICON architecture with Hitachi Virtual Storage Platform storage connected to IBM mainframes through a Brocade Gen5 DCX 8510 director, over a direct-attached storage configuration. Some key advantages of the switched FICON approach are that it overcomes buffer credit limitations on FICON channels, allows fan-in and fan-out connectivity for better resource utilization, helps localize failures for improved availability, and provides greater scalability. The Hitachi VSP provides high performance, large capacity, and data services for mainframe environments, while the Brocade director offers reliability, scalability, and high bandwidth. Together they provide an optimal solution for mainframe storage.
Capitalize on Big Data Through Hitachi InnovationHitachi Vantara
We are creating more digitized data than ever before. Big data is about gaining new business insight from expanded and previously untapped sources of information, including unstructured content, machine data logs and social media. This webcast will explain how Hitachi Data Systems delivers the infrastructure, services, content and partner solutions like SAP HANA to help you capitalize on this opportunity today. The webcast will also show how the combined companies of Hitachi, Ltd. are at the forefront of innovation for the world of big data of tomorrow. By viewing this webcast, you’ll learn how to: Use HDS infrastructure to better manage data centers for big data. Analyze content for enterprise dark data. Work with HDS partners and services to develop a comprehensive big data solution. For more information on our big data solutions please visit: http://www.hds.com/solutions/it-strategies/big-data/?WT.ac=us_mg_sol_bigdat
Introduction to Object Storage Solutions White PaperHitachi Vantara
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
Hitachi Data Systems offers advanced metadata management capabilities for Hitachi Content Platform (HCP) with the HCP custom object metadata enhancement tool.
The document discusses the challenges of mobility and allowing access to enterprise data from anywhere. It notes that a significant portion of corporate data now resides on mobile devices and the consumer cloud. This results in security, visibility, and control issues as well as the risk of exposing intellectual property or violating compliance policies. The solution presented is Hitachi Content Platform Anywhere, which allows users to sync, protect, and access enterprise data from mobile devices while providing IT with control and visibility over corporate data mobility.
Five Best Practices for Improving the Cloud ExperienceHitachi Vantara
This document summarizes a report on best practices for improving the cloud experience based on lessons learned from 232 global IT executives. The five best practices are: 1) Ensure cloud providers meet business and IT requirements through service level agreements. 2) Choose the right cloud service model based on needed control over security and data protection. 3) Use architectures that integrate cloud services with existing infrastructure. 4) Consider benefits beyond cost like improved operations and innovation. 5) Define business requirements for IT and have IT act as a cloud broker. The Hitachi Content Platform portfolio aligns with these practices by providing a secure, scalable cloud that meets business needs and accelerates cloud adoption.
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
Explains how backup-free storage reduces cost and complexity; provides benefits of Hitachi Content Platform; includes brief HDS backup use cases.
For more information on our Unstructured Data Management Solutions please check: http://www.hds.com/go/hitachi-abc-ebook-managing-data/
Build the Optimal Mainframe Storage ArchitectureHitachi Vantara
This document discusses the benefits of using a switched FICON architecture with Hitachi Virtual Storage Platform storage connected to IBM mainframes through a Brocade Gen5 DCX 8510 director, over a direct-attached storage configuration. Some key advantages of the switched FICON approach are that it overcomes buffer credit limitations on FICON channels, allows fan-in and fan-out connectivity for better resource utilization, helps localize failures for improved availability, and provides greater scalability. The Hitachi VSP provides high performance, large capacity, and data services for mainframe environments, while the Brocade director offers reliability, scalability, and high bandwidth. Together they provide an optimal solution for mainframe storage.
Business analytics can drive real-time performance when using SAP HANA. Hitachi provides a unified compute platform that solves challenges of SAP HANA with fast query performance, scalability without complexity, and mission-critical operations based on over 50 years of engineering experience. The platform reduces operational expenses in testing/development, deployment time, asset utilization, environmental costs, and improves staff productivity.
Streamline Data Governance with Egeria: The Industry's First Open Metadata St...DataWorks Summit
Learn about the industry's new open metadata standard Egeria, introduced in September by ODPi, The Linux Foundation’s Open Data Platform initiative. Egeria supports the free flow of standardized metadata between different technologies and vendor platforms, enabling organizations to locate, manage and use their data resources more effectively. Explore how Egeria's set of open APIs, types and interchange protocols to allow all metadata repositories to share and exchange metadata. From this common base, it adds governance, discovery and access frameworks for automating the collection, management and use of metadata across an enterprise. The result is an enterprise catalog of data resources that are transparently assessed, governed and used in order to deliver maximum value to the enterprise.
This presentation by ODPi Director John Mertic provides an introduction to Egeria, and explores how the standard provides a vendor-neutral approach to data governance. Learn how a group of companies led by ING, IBM and Hortonworks came together through the open source community to re-imagining data governance and delivered Egeria -- to automate the collection, management and use of metadata across organizations of any size and complexity. Learn how Egeria was built on open standards and delivered via Apache 2.0 open source license.
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
Hitachi Data Systems offers private cloud solutions that provide flexible, scalable cloud storage infrastructures. These solutions allow organizations to lower costs by paying only for consumed storage resources and improving efficiency by reducing management overhead. Key offerings include file tiering services that move inactive files to cloud storage, freeing up resources on primary storage, and fully managed private cloud services where Hitachi remotely manages the on-premises cloud infrastructure.
This document discusses Klarna Tech Talk on managing data. It provides an overview of IBM's data integration, governance, and big data capabilities. IBM states it can help clients turn information into insights, deepen engagement, enable agile business, accelerate innovation, deliver enterprise mobility, optimize infrastructure, and manage risk through technology innovations like big data analytics, security intelligence, cloud computing, and mobile solutions. The document promotes IBM's data fabric and smart data solutions for integrating, governing, and providing access to data across an organization.
Data management in cloud study of existing systems and future opportunitiesEditor Jacotech
This document discusses data management in cloud computing and provides an overview of existing NoSQL database systems and their advantages over traditional SQL databases. It begins by defining cloud computing and the need for scalable data storage. It then discusses key goals for cloud data management systems including availability, scalability, elasticity and performance. Several popular NoSQL databases are described, including BigTable, MongoDB and Dynamo. The advantages of NoSQL systems like elastic scaling and easier administration are contrasted with some limitations like limited transaction support. The document concludes by discussing opportunities for future research to improve scalability and queries in cloud data management systems.
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
The document discusses information management challenges in today's data-intensive world. It highlights how IBM offers a comprehensive vision and single platform to address issues like extreme data growth, complexity, and the need for real-time insights. IBM helps organizations optimize investments, improve customer satisfaction, increase coupon redemption rates, and reduce road congestion through analytics, governance, integration, and other solutions.
Digital transformations require a new hybrid cloud—one that’s open by design, and frees clients to choose and change environments, data and services as needed. This approach allows cloud apps and services to be rapidly composed using the best relevant data and insights available, while maintaining clear visibility, control and security—everywhere. How do you decide where to put data on a hybrid cloud and how to use it? What’s the best hybrid cloud strategy in terms of data and workload? How should you leverage a 50/50 rule or a 80/20 rule and user interaction to evaluate which data/workload to move to the cloud and which data/workload to keep on-premise? Hybrid cloud provides an open platform for innovation, including cognitive computing. Organizations are looking for taking shadow IT out of the shadows by providing a self-service way to the information and a hybrid cloud strategy is allowing that. Also, how to use hybrid cloud for better manage data sovereignty & compliance?
Achieve Higher Quality Decisions Faster for a Competitive Edge in the Oil and...Hitachi Vantara
Hitachi next-generation unified storage solutions meet the challenges of today’s data-intensive oil and gas exploration and production activities. 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
Journey to Big Data: Main Issues, Solutions, BenefitsDataWorks Summit
One of the most fruit aspects of being chosen as a partner bank is that you can have a backend that can communicate directly with the client's system. With this partnership, Banco Santander has led to running a large series of third party applications on their banking system for many years.
Banking is the most regulated sector to make day-to-day operations more interesting. Adapting the system to regulation is not optional and is mandatory. For today's banks internal and external audits are an important routine. Furthermore, considering that SCIB is a global player, this pattern is repeated in each country where the group exists.
It can be said that it is a really interesting compound! Various kinds of third party systems are installed in many countries, coexisting with our centralized system, transmitting information mutually, being adjusted manually, data is aggregated / integrated at the back office. Spaghetti comes to mind when considering that all data comes and goes without delay. More and more, regulators and auditors are able to perfectly identify the origin of each data. This often means that you need to manually interfere in order to fully locate the data.
Javier Nieto, active in Banco Santander's corporate investment banking architecture and innovation department, talks about integration challenges that Santander experienced when building an on-demand Data Lake to move to global big data.
The global need to securely derive (instant) insights, have motivated data architectures from distributed storage, to data lakes, data warehouses and lake-houses. In this talk we describe Tag.bio, a next generation data mesh platform that embeds vital elements such as domain centricity/ownership, Data as Products, Self-serve architecture, with a federated computational layer. Tag.bio data products combine data sets, smart APIs, statistical and machine learning algorithms into decentralized data products for users to discover insights using FAIR Principles. Researchers can use its point and click (no-code) system to instantly perform analysis and share versioned, reproducible results. The platform combines a dynamic cohort builder with analysis protocols and applications (low-code) to drive complex analysis workflows. Applications within data products are fully customizable via R and Python plugins (pro-code), and the platform supports notebook based developer environments with individual workspaces.
Join us for a talk/demo session on Tag.bio data mesh platform and learn how major pharma industries and university health systems are using this technology to promote value based healthcare, precision healthcare, find cures for disease, and promote collaboration (without explicitly moving data around). The talk also outlines Tag.bio secure data exchange features for real world evidence datasets, privacy centric data products (confidential computing) as well as integration with cloud services
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
Meet the Data Processing Workflow Challenges of Oil and Gas Exploration with ...Hitachi Vantara
The document discusses a test conducted by Hitachi Data Systems and Halliburton Landmark to evaluate the performance of Hitachi's networked storage solution for use with Halliburton Landmark's SeisSpace seismic processing software. The initial test configuration showed improvements over other vendors but still took over 4 hours to complete certain tasks. Various configuration changes were made and optimized the solution, reducing completion times by over 60%. Only Hitachi demonstrated the ability to meet the high performance requirements for both primary and secondary storage simultaneously with a single solution.
Hu Yoshida's Point of View: Competing In An Always On WorldHitachi Vantara
The document discusses how businesses need to adapt to constant and rapid changes in technology by embracing a "continuous cloud infrastructure" and "business-defined IT" approach. This involves having an automated, scalable IT infrastructure that is software-defined, virtualized and optimized to meet changing business needs. A continuous cloud infrastructure provides increased agility, automation, security and reliability to help businesses innovate faster, improve productivity and gain a competitive advantage in an "always-on" world of data growth, new technologies and changing customer demands.
The document discusses the digital transformation of the financial services sector. It begins by outlining how individuals are more connected and have higher expectations, forcing operations and business models to transform. It then discusses how value chains will fragment as functions are contested across industries, leading to industry convergence and the emergence of ecosystems. The digital transformation is shifting strategies to focus on customer experience and operational excellence. This implies rethinking IT systems to have both systems of engagement for innovation and systems of record for optimization. Microservices architectures are increasingly being adopted to improve agility. IBM Bluemix is presented as a platform that can accelerate innovation through its breadth of services and underlying infrastructure. An example of a bank using these technologies to reduce time to market and improve customer experience
High-Performance Storage for the Evolving Computational Requirements of Energ...Hitachi Vantara
Richer data from oil and gas exploration is placing new demands on storage infrastructure as more advanced analysis techniques generate larger datasets. High-performance storage is needed to accelerate seismic analysis and avoid bottlenecks. Hitachi's intelligent storage solutions provide massive scalability, simplified data management, high performance, and other features to meet the evolving computational needs of energy exploration.
This document describes a training course on the Federation Business Data Lake. The FBDL allows organizations to ingest diverse data sources, perform various types of analytics including real-time, interactive, and exploratory analytics, and develop applications using insights from big data. The document provides a use case of a restaurant chain that uses the FBDL to analyze social media data and inform menu decisions. It details how the company ingests Twitter data, analyzes it using Hadoop and NoSQL, and uses a dashboard to aid management decisions. The FBDL provides an integrated solution for the full analytics lifecycle from data ingestion to application development.
Privacy-Preserving AI Network - PlatON 2.0 ShiHeng1
This document discusses the development of privacy-preserving decentralized artificial intelligence. It outlines the evolution from earlier versions of the web to future decentralized networks that connect intelligence. It proposes a layered architecture including a collaborative AI network, privacy-preserving computation network, and underlying blockchain. Key advantages include decentralization, low training costs through marketplaces, and strong privacy protections using cryptography. The roadmap includes releasing testnets and mainnets and developing privacy-preserving applications like marketplaces and collaborative AI networks.
This document provides an overview of the Hitachi Content Platform (HCP) architecture. It describes HCP as a secure, simple and smart web-scale object storage platform that can scale from 4TB to unlimited capacity. It supports a variety of use cases including archiving, regulatory compliance, backup reduction, cloud applications, unstructured data management, and file sync and share. Key features of HCP include unprecedented capacity scaling, multi-protocol access, hybrid storage pools, strong security, extensive metadata and search capabilities, and global access topology.
Hitachi Content Platform Anywhere Implementation Service DatasheetHitachi Vantara
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
Business analytics can drive real-time performance when using SAP HANA. Hitachi provides a unified compute platform that solves challenges of SAP HANA with fast query performance, scalability without complexity, and mission-critical operations based on over 50 years of engineering experience. The platform reduces operational expenses in testing/development, deployment time, asset utilization, environmental costs, and improves staff productivity.
Streamline Data Governance with Egeria: The Industry's First Open Metadata St...DataWorks Summit
Learn about the industry's new open metadata standard Egeria, introduced in September by ODPi, The Linux Foundation’s Open Data Platform initiative. Egeria supports the free flow of standardized metadata between different technologies and vendor platforms, enabling organizations to locate, manage and use their data resources more effectively. Explore how Egeria's set of open APIs, types and interchange protocols to allow all metadata repositories to share and exchange metadata. From this common base, it adds governance, discovery and access frameworks for automating the collection, management and use of metadata across an enterprise. The result is an enterprise catalog of data resources that are transparently assessed, governed and used in order to deliver maximum value to the enterprise.
This presentation by ODPi Director John Mertic provides an introduction to Egeria, and explores how the standard provides a vendor-neutral approach to data governance. Learn how a group of companies led by ING, IBM and Hortonworks came together through the open source community to re-imagining data governance and delivered Egeria -- to automate the collection, management and use of metadata across organizations of any size and complexity. Learn how Egeria was built on open standards and delivered via Apache 2.0 open source license.
This is Part 4 of the GoldenGate series on Data Mesh - a series of webinars helping customers understand how to move off of old-fashioned monolithic data integration architecture and get ready for more agile, cost-effective, event-driven solutions. The Data Mesh is a kind of Data Fabric that emphasizes business-led data products running on event-driven streaming architectures, serverless, and microservices based platforms. These emerging solutions are essential for enterprises that run data-driven services on multi-cloud, multi-vendor ecosystems.
Join this session to get a fresh look at Data Mesh; we'll start with core architecture principles (vendor agnostic) and transition into detailed examples of how Oracle's GoldenGate platform is providing capabilities today. We will discuss essential technical characteristics of a Data Mesh solution, and the benefits that business owners can expect by moving IT in this direction. For more background on Data Mesh, Part 1, 2, and 3 are on the GoldenGate YouTube channel: https://www.youtube.com/playlist?list=PLbqmhpwYrlZJ-583p3KQGDAd6038i1ywe
Webinar Speaker: Jeff Pollock, VP Product (https://www.linkedin.com/in/jtpollock/)
Mr. Pollock is an expert technology leader for data platforms, big data, data integration and governance. Jeff has been CTO at California startups and a senior exec at Fortune 100 tech vendors. He is currently Oracle VP of Products and Cloud Services for Data Replication, Streaming Data and Database Migrations. While at IBM, he was head of all Information Integration, Replication and Governance products, and previously Jeff was an independent architect for US Defense Department, VP of Technology at Cerebra and CTO of Modulant – he has been engineering artificial intelligence based data platforms since 2001. As a business consultant, Mr. Pollock was a Head Architect at Ernst & Young’s Center for Technology Enablement. Jeff is also the author of “Semantic Web for Dummies” and "Adaptive Information,” a frequent keynote at industry conferences, author for books and industry journals, formerly a contributing member of W3C and OASIS, and an engineering instructor with UC Berkeley’s Extension for object-oriented systems, software development process and enterprise architecture.
Hitachi Data Systems offers private cloud solutions that provide flexible, scalable cloud storage infrastructures. These solutions allow organizations to lower costs by paying only for consumed storage resources and improving efficiency by reducing management overhead. Key offerings include file tiering services that move inactive files to cloud storage, freeing up resources on primary storage, and fully managed private cloud services where Hitachi remotely manages the on-premises cloud infrastructure.
This document discusses Klarna Tech Talk on managing data. It provides an overview of IBM's data integration, governance, and big data capabilities. IBM states it can help clients turn information into insights, deepen engagement, enable agile business, accelerate innovation, deliver enterprise mobility, optimize infrastructure, and manage risk through technology innovations like big data analytics, security intelligence, cloud computing, and mobile solutions. The document promotes IBM's data fabric and smart data solutions for integrating, governing, and providing access to data across an organization.
Data management in cloud study of existing systems and future opportunitiesEditor Jacotech
This document discusses data management in cloud computing and provides an overview of existing NoSQL database systems and their advantages over traditional SQL databases. It begins by defining cloud computing and the need for scalable data storage. It then discusses key goals for cloud data management systems including availability, scalability, elasticity and performance. Several popular NoSQL databases are described, including BigTable, MongoDB and Dynamo. The advantages of NoSQL systems like elastic scaling and easier administration are contrasted with some limitations like limited transaction support. The document concludes by discussing opportunities for future research to improve scalability and queries in cloud data management systems.
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
The document discusses information management challenges in today's data-intensive world. It highlights how IBM offers a comprehensive vision and single platform to address issues like extreme data growth, complexity, and the need for real-time insights. IBM helps organizations optimize investments, improve customer satisfaction, increase coupon redemption rates, and reduce road congestion through analytics, governance, integration, and other solutions.
Digital transformations require a new hybrid cloud—one that’s open by design, and frees clients to choose and change environments, data and services as needed. This approach allows cloud apps and services to be rapidly composed using the best relevant data and insights available, while maintaining clear visibility, control and security—everywhere. How do you decide where to put data on a hybrid cloud and how to use it? What’s the best hybrid cloud strategy in terms of data and workload? How should you leverage a 50/50 rule or a 80/20 rule and user interaction to evaluate which data/workload to move to the cloud and which data/workload to keep on-premise? Hybrid cloud provides an open platform for innovation, including cognitive computing. Organizations are looking for taking shadow IT out of the shadows by providing a self-service way to the information and a hybrid cloud strategy is allowing that. Also, how to use hybrid cloud for better manage data sovereignty & compliance?
Achieve Higher Quality Decisions Faster for a Competitive Edge in the Oil and...Hitachi Vantara
Hitachi next-generation unified storage solutions meet the challenges of today’s data-intensive oil and gas exploration and production activities. 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
Journey to Big Data: Main Issues, Solutions, BenefitsDataWorks Summit
One of the most fruit aspects of being chosen as a partner bank is that you can have a backend that can communicate directly with the client's system. With this partnership, Banco Santander has led to running a large series of third party applications on their banking system for many years.
Banking is the most regulated sector to make day-to-day operations more interesting. Adapting the system to regulation is not optional and is mandatory. For today's banks internal and external audits are an important routine. Furthermore, considering that SCIB is a global player, this pattern is repeated in each country where the group exists.
It can be said that it is a really interesting compound! Various kinds of third party systems are installed in many countries, coexisting with our centralized system, transmitting information mutually, being adjusted manually, data is aggregated / integrated at the back office. Spaghetti comes to mind when considering that all data comes and goes without delay. More and more, regulators and auditors are able to perfectly identify the origin of each data. This often means that you need to manually interfere in order to fully locate the data.
Javier Nieto, active in Banco Santander's corporate investment banking architecture and innovation department, talks about integration challenges that Santander experienced when building an on-demand Data Lake to move to global big data.
The global need to securely derive (instant) insights, have motivated data architectures from distributed storage, to data lakes, data warehouses and lake-houses. In this talk we describe Tag.bio, a next generation data mesh platform that embeds vital elements such as domain centricity/ownership, Data as Products, Self-serve architecture, with a federated computational layer. Tag.bio data products combine data sets, smart APIs, statistical and machine learning algorithms into decentralized data products for users to discover insights using FAIR Principles. Researchers can use its point and click (no-code) system to instantly perform analysis and share versioned, reproducible results. The platform combines a dynamic cohort builder with analysis protocols and applications (low-code) to drive complex analysis workflows. Applications within data products are fully customizable via R and Python plugins (pro-code), and the platform supports notebook based developer environments with individual workspaces.
Join us for a talk/demo session on Tag.bio data mesh platform and learn how major pharma industries and university health systems are using this technology to promote value based healthcare, precision healthcare, find cures for disease, and promote collaboration (without explicitly moving data around). The talk also outlines Tag.bio secure data exchange features for real world evidence datasets, privacy centric data products (confidential computing) as well as integration with cloud services
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
Meet the Data Processing Workflow Challenges of Oil and Gas Exploration with ...Hitachi Vantara
The document discusses a test conducted by Hitachi Data Systems and Halliburton Landmark to evaluate the performance of Hitachi's networked storage solution for use with Halliburton Landmark's SeisSpace seismic processing software. The initial test configuration showed improvements over other vendors but still took over 4 hours to complete certain tasks. Various configuration changes were made and optimized the solution, reducing completion times by over 60%. Only Hitachi demonstrated the ability to meet the high performance requirements for both primary and secondary storage simultaneously with a single solution.
Hu Yoshida's Point of View: Competing In An Always On WorldHitachi Vantara
The document discusses how businesses need to adapt to constant and rapid changes in technology by embracing a "continuous cloud infrastructure" and "business-defined IT" approach. This involves having an automated, scalable IT infrastructure that is software-defined, virtualized and optimized to meet changing business needs. A continuous cloud infrastructure provides increased agility, automation, security and reliability to help businesses innovate faster, improve productivity and gain a competitive advantage in an "always-on" world of data growth, new technologies and changing customer demands.
The document discusses the digital transformation of the financial services sector. It begins by outlining how individuals are more connected and have higher expectations, forcing operations and business models to transform. It then discusses how value chains will fragment as functions are contested across industries, leading to industry convergence and the emergence of ecosystems. The digital transformation is shifting strategies to focus on customer experience and operational excellence. This implies rethinking IT systems to have both systems of engagement for innovation and systems of record for optimization. Microservices architectures are increasingly being adopted to improve agility. IBM Bluemix is presented as a platform that can accelerate innovation through its breadth of services and underlying infrastructure. An example of a bank using these technologies to reduce time to market and improve customer experience
High-Performance Storage for the Evolving Computational Requirements of Energ...Hitachi Vantara
Richer data from oil and gas exploration is placing new demands on storage infrastructure as more advanced analysis techniques generate larger datasets. High-performance storage is needed to accelerate seismic analysis and avoid bottlenecks. Hitachi's intelligent storage solutions provide massive scalability, simplified data management, high performance, and other features to meet the evolving computational needs of energy exploration.
This document describes a training course on the Federation Business Data Lake. The FBDL allows organizations to ingest diverse data sources, perform various types of analytics including real-time, interactive, and exploratory analytics, and develop applications using insights from big data. The document provides a use case of a restaurant chain that uses the FBDL to analyze social media data and inform menu decisions. It details how the company ingests Twitter data, analyzes it using Hadoop and NoSQL, and uses a dashboard to aid management decisions. The FBDL provides an integrated solution for the full analytics lifecycle from data ingestion to application development.
Privacy-Preserving AI Network - PlatON 2.0 ShiHeng1
This document discusses the development of privacy-preserving decentralized artificial intelligence. It outlines the evolution from earlier versions of the web to future decentralized networks that connect intelligence. It proposes a layered architecture including a collaborative AI network, privacy-preserving computation network, and underlying blockchain. Key advantages include decentralization, low training costs through marketplaces, and strong privacy protections using cryptography. The roadmap includes releasing testnets and mainnets and developing privacy-preserving applications like marketplaces and collaborative AI networks.
This document provides an overview of the Hitachi Content Platform (HCP) architecture. It describes HCP as a secure, simple and smart web-scale object storage platform that can scale from 4TB to unlimited capacity. It supports a variety of use cases including archiving, regulatory compliance, backup reduction, cloud applications, unstructured data management, and file sync and share. Key features of HCP include unprecedented capacity scaling, multi-protocol access, hybrid storage pools, strong security, extensive metadata and search capabilities, and global access topology.
Hitachi Content Platform Anywhere Implementation Service DatasheetHitachi Vantara
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
Data proliferation from 7+ billion humans and 20+ billion devices from every walk of life has been the focus in the last decade. With the velocity, variety and volume of data, every data organization’s goal shifted to protecting and monetizing data from rapidly growing network of IOT embedded objects and sensors.
One of the true and tried business continuity methodology of storing and retrieving vast amount of data has been through replication of Hadoop systems on hybrid clouds and in geographically distributed data centers. Replication is similar to Blockchain using autonomous smart contracts instantiated on the metadata and data so that the replicated data follows a single source of truth.
Replicas can be maintained across geographically distributed data centers giving greater risk tolerance capabilities to the businesses continuity plan for the data-sets. With intelligent predictive analytics based on usage patterns, dynamic tiering policies can be triggered on the data sets to provide true value-add to the data. The temperature of the data is used to move data between hot/warm/cold/archival storage based on configurable policies leading to greater reduction in total cost of ownership.
Users in 2018 and beyond demand absolute availability of data as and when they desire. The dynamic data access management is fundamental concept to satisfy the business continuity plan. Seamless enterprise-grade disaster recovery to support business continuity use case has significant challenges around replicating security and governance on data-sets. In this talk we will discuss how the above challenge can be addressed for supporting seamless replication and disaster recovery for Hadoop-scale data. NIRU ANISETI, Product Manager, Hortonworks
G07.2014 magic quadrant for enterprise file synchronization and sharingSatya Harish
Gartner's Magic Quadrant report evaluated vendors in the enterprise file synchronization and sharing (EFSS) market. EMC Syncplicity was named a leader in this market. The report provides qualitative analysis of the EFSS market, including where it is going. It also analyzes key EFSS participants. Gartner does not endorse any particular vendor but provides the report to help technology users understand the options in this space.
Hortonworks Hybrid Cloud - Putting you back in control of your dataScott Clinton
The document discusses Hortonworks' solutions for managing data across hybrid cloud environments. It proposes getting all data under management, combating growing cloud data silos, and consistently securing and governing data across locations. Hortonworks offers the Hortonworks Data Platform, Hortonworks Dataflow, and Hortonworks DataPlane to provide a modern hybrid data architecture with cloud-native capabilities, security and governance, and the ability to extend to edge locations. The document also highlights Hortonworks' professional services and open source community initiatives around hybrid cloud data.
VILT - Archiving and Decommissioning with OpenText InfoArchiveVILT
OpenText InfoArchive is an application-agnostic solution, for managing information and archiving, supporting different enterprise needs of information ingestion, for all kinds of applications.
It allows for the application management cost reduction, an information governance enhancement while adding value to the business process through information re-utilization.
It provides four information ingestion methods, in order to cover the most demanding requirements on all concurrent projects, while optimizing the information source application.
With OpenText InfoArchive there is no need to go for a single approach for all archiving and decommissioning needs.
10 Best Data Integration Software Platforms.pdfXoxoday Compass
Data integration software platforms are on the rise; inculcating our best data integration platforms gives you an edge over the competition. Learn more.
https://blog.getcompass.ai/data-integration-software/
The document discusses Cisco Domain Ten, a framework for transforming IT to better support business needs. The framework addresses ten key areas: 1) infrastructure, 2) abstraction/virtualization, 3) automation/orchestration, 4) user portal, 5) service catalog, 6) financials, 7) platform/data, 8) applications/analytics, 9) security/compliance, and 10) organization/governance. Using this holistic framework helps organizations plan and manage complex IT transformations, adapt to new technologies, and deliver services reliably and securely.
Here is a case study that I developed to explain the different sets of functionality with the Pentaho Suite. I focused on the functionality, features, illustrative tools and key strengths. I've provided an understanding toward evaluating BI tools when selecting vendors. Enjoy!
A Logical Architecture is Always a Flexible Architecture (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3joZa0a
The current data landscape is fragmented, not just in location but also in terms of processing paradigms: data lakes, IoT architectures, NoSQL, and graph data stores, SaaS applications, etc. are found coexisting with relational databases to fuel the needs of modern analytics, ML, and AI. The physical consolidation of enterprise data into a central repository, although possible, is both expensive and time-consuming. A logical data warehouse is a modern data architecture that allows organizations to leverage all of their data irrespective of where the data is stored, what format it is stored in, and what technologies or protocols are used to store and access the data.
Watch this session to understand:
- What is a logical data warehouse and how to architect one
- The benefits of logical data warehouse – speed with agility
- Customer use case depicting logical architecture implementation
This document discusses big data business opportunities and solutions. It notes that big data solutions are tailored to specific data types and workloads. Common business domains for big data include web analytics, clickstream analysis using the ELK stack, and big data in the cloud to provide auto-scaling, low costs, and use of cloud services. Effective big data solutions require data governance, cluster modeling, and analytics and visualization.
The document discusses two approaches to managing domains in a data mesh architecture: the open model and strict model. The open model gives domain teams freedom to choose their own tools and data storage, requiring reliable teams to avoid inconsistencies. The strict model predefines domain environments without customization allowed and puts central management on data persistence, ensuring consistency but requiring more platform implementation. Both have pros and cons depending on the organization and use case.
The document discusses how hybrid IT infrastructure combining on-premises and public cloud capabilities allows enterprises to maximize flexibility and performance. Nearly three-quarters of enterprises now use a hybrid model. When developing a hybrid strategy, organizations should consider how to better control "shadow IT," manage fluctuations in application demand, ease application development and testing, handle varied workloads and user bases, and meet changing workload demands through a flexible network. Workload awareness is also important, with most critical "Tier 1" workloads run on-premises where there is better control and security.
Digital transformation requires organizations to be agile and responsive to changing business needs. Large organizations can adopt agile practices like Microsoft has done by implementing frequent feedback loops and updates. Adopting a hybrid multi-cloud strategy allows organizations to have flexibility, choice, and consistency across environments which provides agility and responsiveness needed for digital transformation. Agile is a journey that all organizations are on to continuously innovate, adapt processes and culture, and deliver value to customers.
VMware streamlined its architecture approval process using Troux to close the gap between IT and business. Troux helped operationalize tribal knowledge, improve business understanding of changes, and show how IT aligns with business capabilities. It reduced impact analysis time from 3 weeks to 1.5 weeks. Troux also helped improve governance, reduce risk and non-compliance, and increase mobile access to applications. The initial data collection into Troux required more time than planned to ensure accuracy.
This document provides information and questions for two assessments related to cloud computing and ERP systems. For Assessment 1, students must create a 10-slide PowerPoint presentation explaining how cloud computing relates to an organization's strategy and value chain. For Assessment 2, students must write a 1200-word report explaining how ERP can add value to an organization and identifying potential risks of implementing a cloud-based ERP solution. Both assessments are based on information and issues raised in two blog posts - one on cloud computing and one on mobile ERP in the cloud.
Enabling Hybrid Cloud Today With Microsoft-technologies-v1-0David J Rosenthal
The document provides an overview of hybrid cloud and how organizations can implement a successful hybrid cloud strategy using Microsoft technologies. It defines key cloud concepts like public cloud, private cloud, and hybrid cloud. It discusses how hybrid cloud can help organizations improve management of on-premises systems through private cloud while also utilizing lower-cost public cloud services. The document outlines Microsoft's approach to hybrid cloud, highlighting common technologies that span private and public clouds and enable common hybrid experiences.
This new solution from Capgemini, implemented in
partnership with Informatica, Cloudera and Appfluent,
optimizes the ratio between the value of data and storage
costs, making it easy to take advantage of new big data
technologies.
This document provides an overview comparison of the HP TRIM and Objective electronic document and records management (EDRM) systems. It describes the basic functions, flexibility, integration capabilities, ease of use, and limitations of each system. Both systems are seen as suitable for medium to large organizations, with HP TRIM having a larger market share but Objective growing and expanding its capabilities through acquisitions. Key differences include Objective typically being more costly to implement due to consulting requirements for customizations.
Similar to hitachi-content-platform-portfolio-esg-validation-report (20)
SQL Server 2016 provides new features to store and access more types of data. It introduces PolyBase to query relational and non-relational data together. It also supports using Azure HDInsight for querying and analyzing large datasets in Hadoop. SQL Server 2016 includes both SMP and MPP solutions for data warehousing of structured data on-premises or in the cloud. Additional features improve integration of data from various sources and storage of unstructured data.
The document discusses security features of the Microsoft Azure IoT Suite for securing Internet of Things (IoT) infrastructure and solutions. It describes how the Azure IoT Suite provides secure device provisioning through unique identity keys for each device. It also details how the suite enables secure connectivity using TLS encryption and secure processing and storage of IoT data in the Azure cloud. Finally, it provides best practices for securing IoT infrastructure for various roles involved, such as hardware manufacturers, solution developers, and solution operators.
1) The document discusses the opportunities and challenges of the Internet of Things (IoT) for manufacturers. It summarizes a roundtable discussion among CEOs on getting value from IoT.
2) While IoT could generate $2.3 trillion in economic value by 2025, companies struggle to make effective use of the vast data generated. Breaking adoption and data analysis into smaller, manageable steps is advised.
3) Discussants address challenges like linking forecasting to predictions, simplifying data for operations teams, and processing data in layers from local assets to the cloud. Viewing IoT as an evolution of existing infrastructure and processes, not revolution, can help firms compete.
Businesses are increasingly investing in social innovation programs that utilize new technologies like IoT and big data analytics to benefit society. A survey found that 80% of organizations believe social responsibility is good for business, and over half already have social innovation programs in place. These programs are aimed at goals like improving healthcare, developing more affordable financial services, and boosting communication but face challenges from lack of resources, integration issues, and strategy problems. Many companies are partnering with IT providers to gain expertise in analytics, integration, and data management to help overcome these challenges and make more data-driven decisions for powering their social programs.
The document summarizes the key elements needed for an effective Internet of Things (IoT) core platform, including flexibility, modularity, and the ability to integrate new technologies and adapt to changing business needs. An IoT core platform must provide foundational services like data management and analytics to unlock value from device data and support dynamic solutions. Examples are given of predictive maintenance and factory optimization solutions that could be built on such a platform to address business challenges. Hitachi's Lumada platform is discussed as an example of an IoT core platform designed with these essential elements.
This document provides an overview of social innovation through connected devices and data analytics. It discusses how by 2020 there will be 28 billion connected devices generating vast amounts of data. It describes how companies like Hitachi are working to turn this machine data into intelligence through analytics to help address challenges in areas like transportation, public safety, energy and health. The document outlines the potential benefits of social innovation initiatives in smart cities, public safety, energy/water management, transportation and health. It emphasizes the importance of understanding where data comes from, managing and analyzing data securely, and applying industry expertise to focus on what information and applications can make the most meaningful impact.
Hitachi Content Platform (HCP) provides a highly available, scalable solution for storing build artifacts from a continuous integration (CI) tool like Jenkins. HCP addresses limitations of CI tools in reliably storing and managing build artifacts over time. The engineering team at HDS configured HCP with namespaces, retention policies, and indexing to securely store Jenkins build artifacts and make them queryable. This separation of CI and storage responsibilities improved reliability, reduced complexity, and enabled scaling storage without downtime.
This document discusses the role of the Chief Information Officer (CIO) in leading digital transformation efforts. It notes that CIOs are now expected to drive business innovation through data and analytics, giving them a new strategic role within companies. Effective CIOs act as change agents, working closely with business leaders to develop new services and tools that enable faster innovation. They must shift from a risk-averse, command-and-control mindset to one that is more entrepreneurial and focused on enabling transformation. Case studies show how CIOs are reducing legacy IT costs to free up funds for modernization efforts, helping their organizations adapt to changing market needs and competitive threats.
Businesses are increasingly investing in social innovation programs that utilize technologies like IoT and big data analytics to benefit society. A survey found that 80% of organizations believe social responsibility is good for business, and over half already have social innovation programs in place. These programs address societal issues in industries like healthcare, finance, telecommunications, and government. While organizations have made progress, IT challenges like limited resources and integration issues have slowed some efforts. Many IT leaders are looking to partners with expertise in analytics, integration, data management, and industry knowledge to help overcome these challenges and make more data-driven decisions for powering social programs.
This document provides an overview of social innovation and the potential of connecting devices and sensors to create smarter infrastructure and applications. It discusses how analyzing data from billions of connected devices can help address problems like traffic congestion, public safety and health. Key points include how data platforms and analytics can provide insights to improve systems like transportation, energy and healthcare. The document also discusses smart city initiatives and how a focus on applications built on top of connected infrastructure can generate value.
Hitachi Live Insight for Telecom is advanced real-time analytics that transforms network data into actionable insights. It empowers operations with granular and predictive insight, enriches services to improve quality of experience, and elevates business value with new analytics-as-a-service offers.
This article examines how American "necrospecialists" in the 19th century transformed death care services and overcame stigma to establish themselves as professionals. The necrospecialists, who cared for corpses, separated themselves from the medical field and regulatory bodies. They presented embalming and memorialization as aesthetic and meaningful practices, rather than purely scientific or medical. This allowed the American funeral industry to develop differently than in countries like France, where embalming faced blacklisting. The necrospecialists established prolonged intimacy with corpses as important to ritual and helped streamline disposal while preserving individuality. They grew to occupy a respected role in communities by the late 19th century.
This document is a syllabus for a class on dark humor taught by Ingrid Fernandez. The class will examine humor that aims to be offensive through images, jokes, and comedy that are obscene, violent, and in poor taste. Students will analyze how this type of humor works as a form of argument by pushing social boundaries related to topics like death, race, religion, violence, and sexuality. Major assignments include a rhetorical analysis of a example of dark humor, analyzing multiple philosophies of humor, and a research-based argument examining how dark humor functions in a particular work and challenges social norms. The class will explore the work of comedians, philosophers of humor, and examples from films, television, literature and more
This document discusses dark humor and its history and characteristics. Dark humor attacks society's most serious subjects like death through comic irreverence. It was first defined and compiled by Surrealist artist André Breton in the early 20th century. Dark humor thrives on absurdity, incongruity, merging the sacred and profane, and making the familiar seem uncanny. It uses shock value and brings uncomfortable topics into discourse through distancing mechanisms. The document explores the development of dark humor through major historical events like the world wars and examines current purposes it may serve.
Hitachi provides connected health solutions across the patient care continuum from devices and data to analytics and population health management. Their portfolio includes infrastructure, clinical data exchange, mobility and analytics solutions. The goal is to improve patient outcomes by connecting stakeholders and providing actionable insights from data. Population health management is the ultimate aim of reducing healthcare costs through preventative and personalized care enabled by Hitachi's connected health offerings.
The document provides information on training programs offered through South Florida Workforce including ITA Training which covers the costs of tuition, books, and materials for programs at approved training institutions, On-the-Job Training which provides reimbursements to employers of up to 50% of wages for training new hires, and Customized Training which reimburses employers up to 50% of costs for employer-specific training programs. Eligibility requirements and benefits are outlined for employers and job seekers participating in the different training programs.