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Data Management

Data Management comprises all the disciplines related to managing data as a valuable resource. Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise.
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By: IBM     Published Date: Oct 13, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
Tags : ibm, trusted data, data governance, governance, big data, hybrid data environments, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars: - Broad agreement on what information means - Clear agreement on how owned information assets will be maintained and monitored - Standard practices for securing strategic information assets - Enterprise data integration strategy
Tags : ibm, trusted data, big data, governance, data governance, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
IBM commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
Tags : ibm, forrester, data, analytics, big data, ibm information integration, governance, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
Tags : ibm, data, analytics, big data, data integration, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
This e-book highlights the benefits of Hadoop across several industries and explores how IBM® Biglnsights for Apache™ Hadoop® combines open source Hadoop with enterprise-grade management and analytic capabilities.
Tags : ibm, analytics, big data, hadoop, enterprise, ibm biginsights, apache, enterprise management, enterprise applications, data management
     IBM
By: IBM     Published Date: Sep 30, 2016
Securing sensitive data presents a multi-dimensional challenge where complex environments—which often include a wide range of heterogeneous database management systems (DBMS), enterprise applications, big data platforms, file systems, OS platforms with multiple access paths and permission levels—have created a seemingly end-less array of security risks and violation scenarios. This data security ebook examines the top 5 scenarios and essential best practices for defending against insider threats and external attacks.
Tags : ibm, data, big data, safeguard, sensitive data, security, dbms, data management, enterprise applications
     IBM
By: IBM     Published Date: Sep 30, 2016
Read this white paper to learn about how to get smart about insider threat prevention, including how to guard against privileged user breaches, stop data breaches before they take hold, and take advantage of global threat intelligence and third party collaboration.
Tags : ibm, data, big data, security, data loss, data protection, threat provention, enterprise applications, data management
     IBM
By: IBM     Published Date: Sep 30, 2016
Data is the lifeblood of today’s digital businesses; protecting it from theft, misuse, and abuse is the top responsibility of every S&R leader. Hacked customer data can erase millions in profits, stolen IP can destroy competitive advantage, and unnecessary privacy abuses can bring unwanted scrutiny and fines from regulators while damaging reputations. S&R pros must take a data-centric approach that ensures security travels with the data regardless of user population, location, or even hosting model; position data security and privacy capabilities as competitive differentiators; and build a new kind of customer relationship.
Tags : ibm, security, data, privacy, forrester, forrester research, data management
     IBM
By: IBM     Published Date: Sep 30, 2016
Working with ESM Technology, Infirmary Health System deployed a comprehensive security solution from IBM that has enabled it to meet data security requirements for meaningful use, qualify for meaningful use dollars, and reduced security incidents significantly.
Tags : ibm, security. big fix, infirmary health system, case study, esm technology, networking, security, enterprise applications, data management
     IBM
By: IBM     Published Date: Sep 30, 2016
IBM BigFix and IBM Security QRadar solutions empower IT teams to view up-to-the-minute endpoint intelligence within the context of other vulnerability data, prioritize vulnerabilities for remediation and quickly take corrective action to help minimize risks.
Tags : ibm, security, big fix, advanced threats, security, security intelligence, endpoint security, networking, enterprise applications, data management
     IBM
By: IBM     Published Date: Sep 14, 2016
Read this eBook to get insight on the essential elements of a modernized B2B integration architecture. Companies need a strategy as they think about modernizing their B2B integration capabilities. This eBook describes what to look for and how IBM can help.
Tags : ibm, b2b, requirements, scale, reliability, platform, onboarding, partner management, analytics, recovery, it management, data management, data center
     IBM
By: IBM     Published Date: Sep 14, 2016
Watch this video to hear IDC analyst Chandana Gopal’s viewpoint on why organizations need to create a modern B2B integration technology environment.
Tags : modernization, ibm, b2b, infrastructure, scale, it management, data management, data center
     IBM
By: Kaminario     Published Date: Sep 09, 2016
Lowering costs while improving patient care
Tags : ehr, healthcare, records, it strategy, it management, data management
     Kaminario
By: CloudHealth Technologies     Published Date: Sep 06, 2016
Read this eBook to learn 8 best practices for reducing your Microsoft Azure Spend so you can harness both the cost savings and agility of the public cloud.
Tags : azure, microsoft azure, azure cloud, azure cost, azure pricing, windows azure pricing, azure cloud service, azure platform, cloud service azure, cloud computing azure, microsoft cloud applications, microsoft windows cloud, azure cloud pricing, cloud computing, hybrid cloud, cloud, public cloud, cloud infrastructure, cloud cost, iaas
     CloudHealth Technologies
By: IBM     Published Date: Jul 19, 2016
Data movement and management is a major pain point for organizations operating HPC environments. Whether you are deploying a single cluster, or managing a diverse research facility, you should be taking a data centric approach. As data volumes grow and the cost of compute drops, managing data consumes more of the HPC budget and computational time. The need for Data Centric HPC architectures grows dramatically as research teams pool their resources to purchase more resources and improve overall utilization. Learn more in this white paper about the key considerations when expanding from traditional compute-centric to data-centric HPC.
Tags : ibm, analytics, hpc, big data, software development, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 19, 2016
IBM Platform LSF family provides a complete set of workload management capabilities for demanding, distributed HPC environments. In this video, we will learn how a genomics workflow can be managed in a multi-architecture, hybrid-cloud environment with the IBM Platform LSF family. Featuring IBM Platform Application Center and IBM Process Manager, learn how these add-on products can help to drive productivity through easy-to-use interfaces for managing complex computational workflow.
Tags : ibm, analytics, ibm platform, lsf, ibm platform application center, software development, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 19, 2016
This infographic explains how to build your big data strategy on a solid foundation.
Tags : ibm, analytics, big data, strategy, software development, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 19, 2016
Watch to learn how an enterprise-grade, multi-tenant solution can help you deploy Spark in a production environment to take advantage of · Faster time-to-results for big data analytics · Simplified deployment and management · Increased utilization of hardware resources"
Tags : ibm, analytics, production environment, apache spark, idc research, software development, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 18, 2016
In this report, you will be able to answer the following: - What’s the value of a managed service & why should developers care about it? - Why is a managed service preferred over DIY management? - How does a managed service give you back hours in your day?
Tags : ibm, analytics, dbaas, database as a service, developers, applications, software development, enterprise applications, data management, data center
     IBM
By: IBM     Published Date: Jul 15, 2016
This Market Guide helps CISOs identify emerging data-centric audit and protection tools. IBM is positioned with a centralized management console approach across multiple silos and has coverage of all the key capabilities evaluated by Gartner.
Tags : ibm, gartner, data, dcap, data-centric audit protection, security, enterprise applications, data management
     IBM
By: IBM     Published Date: Jul 15, 2016
The growth of virtualization has fundamentally changed the data center and raised numerous questions about data security and privacy. In fact, security concerns are the largest barrier to cloud adoption. Read this e-Book and learn how to protect sensitive data and demonstrate compliance.
Tags : ibm, data, security, virtualization, data management
     IBM
By: IBM     Published Date: Jul 15, 2016
As big data environments ingest more data, organizations will face significant risks and threats to the repositories containing this data. Failure to balance data security and quality reduces confidence in decision making. Read this e-Book for tips on securing big data environments.
Tags : ibm, data, security, big data, data management
     IBM
By: IBM     Published Date: Jul 14, 2016
This video describes how data scientists, analysts and business users can save precious time by using a combination of SPSS and Spark to uncover and act on insights in big data.
Tags : ibm, data, analytics, predictive business, ibm spss, apache spark, coding, data science, software development, enterprise applications, data management, data center
     IBM
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