Data Management

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.

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

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.

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.

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.

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?

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.

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.

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.

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.

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.

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.

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.

Watch this video to hear IDC analyst Chandana Gopal’s viewpoint on why organizations need to create a modern B2B integration technology environment.

Lowering costs while improving patient care

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.

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.

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.

This infographic explains how to build your big data strategy on a solid foundation.

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"

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?

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.

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.

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.

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.