Data

In this e-zine, discover how big data impacts the nitty-gritty of power and cooling, networking, storage and data center expansion, examples of companies that are updating their data centers to deal with big data, why characteristics of big data other than its size should be closely considered when planning changes to your data center, and more!

Processing, analyzing and storing huge volumes of data are not new challenges for most organizations, but the...

Data management analysts warn that there are many misconceptions that could be holding back the successful use of data integration tools and that data errors and other missteps may be waylaying your BI data integration strategy.

When it comes to business intelligence (BI) processes, data integration is a critical component. Software has evolved significantly from the days when it primarily consisted of extract...

Report, Research Director Philip Howard explains why data discovery is of fundamental importance to data integration, data quality, and many other projects ranging from business intelligence through master data management to data governance and data archival. Read on to learn more about the importance of data discovery.

Founded in 1989, Bloor Research is one of the world's leading IT research, analysis and consultancy organizations.

 

In this Spotlight Report, Research...

Accenture's Data Management & Architecture group addresses how an organization manages data across its entire lifecycle. Data is the lifeblood of an organization and a valuable enterprise asset. It provides the foundation on which to base critical and everyday business decisions. It is, therefore, essential that decision makers can access and depend on quality data to operate confidently in a high-performance environment...

A Fluid Data architecture automates data management at a more granular level to adapt to storage admin needs. Detailed information about each block is captured in action, providing system intelligence inside the volume. A sophisticated data movement engine uses this metadata, or data about the data, to intelligently store, recover and manage data.

A Fluid Data architecture automates data management at a more granular level to...

because flaws in the migration process result in invalid data. With an understanding of the challenges, managing the migration as part of the investment is much more likely to... Businesses spend billions of dollars migrating data between information-intensive applications. Yet up to 75% of new systems fail to meet expectations, often because flaws in the migration process result in data that is not adequately validated for the intended task.

Because the system itself is...

This paper discusses virtual data services for operational business processing and data management as well as successful virtualization use cases.

Virtual data services are widely used by businesses for accessing, managing, integrating, and governing data. Having a data virtualization strategy in place is essential to delivering information to BI tools, applications and processes across the enterprise.

Specifically, it can help integrate data...

addresses what you need to do in order to establish an agile data services infrastructure that leverages your investments in data virtualization, discovery, transformation, quality, governance, publishing, caching, data warehousing and other key infrastructures.

Agility is key to success in a fast-changing business environment. Agile business intelligence (BI) can empower every level of your company to make the best possible decisions, leveraging sophisticated predictive...

modeling expert, Claudia Imhoff how intelligent data modeling practices to design and deliver superior BI faster, the characteristics and benefits of intelligent data modeling, How to promote the use of data models to fast-track data warehouse and BI projects, and more.

More and more organizations are recognizing the benefits of data warehouses and their ability to support critical business intelligence initiatives. Yet many DW/BI projects fail due to poor...

The fundamental processes in data integration continue to present challenges to enterprises, not because the fundamentals have changed, but rather that expectations for data volumes to support reporting and analysis continue to increase. The fundamental processes in data integration continue to present challenges to enterprises. This is not because the fundamentals have changed, but rather that expectations for data volumes to support...

are struggling with managing high volumes and variety of data, but the key to making this process easier may lie in data visualization.  Access this resource for a primer on data visualization and learn about the various options for charting your data, and new techniques that can help you address specific big data challenges.

Many businesses today are struggling with how to manage their high volumes of data - coming from a variety of sources and manifesting in a plethora of forms...

To manage the ever-growing volume, variety and velocity of data, organizations are looking for analytics solutions specific to big data.  This white paper explores a study that measured the economic benefits (also known as data equity) that enterprises can gain by unlocking the insights available from big data analytics.

As the amount of accessible data grows by the second, and the internet, social media, cloud computing, and mobile devices facilitate this growth, it becomes...

enterprises tackle obstacles surrounding large-volume data in a timely and cost-effective manner, data management systems offer ways to manage data integration projects on a larger, enterprise-level scale. This white paper introduces a toolkit designed to meet the full spectrum of enterprise data integration needs.

To help enterprises tackle obstacles surrounding large-volume data in a timely and cost-effective manner, data management systems offer ways to manage data...

Wayne Eckerson introduces big data and the issues involved in warehousing it as well as an overview of data warehouse architectures for storing big data.

“Big data” has become one of the most talked-about topics in the IT world, as organizations increasingly look to mine and analyze large data sets in search of trends, patterns and other insights that can provide competitive advantages. But storing and managing big data is a complicated process involving a...

Introducing SAP® BusinessObjects™ Data Services breakthrough technology software for the enterprise information management market. The software unifies our leading data-quality and integration solutions - helping your organization to move, transform, and improve virtually any type of data anywhere, at any frequency.

In today's world of huge data volumes and multiple, disparate data sources, business users often are challenged to harness and make sense...

how database activity monitoring (DAM) solutions mitigate data risk by discovering critical data in the data center, monitoring and analyzing activity, providing detailed auditing trails, and reporting on all user access. Database activity monitoring (DAM) solutions mitigate data risk by discovering critical data in the data center; intelligently monitoring and analyzing the activity that affects it; providing detailed auditing trails; and reporting on all user access to data...

forces of new business initiatives, lead to a complex set of data protec­tion requirements. This paper provides an overview of the many data protection challenges CISOs face and suggests a sequence of five actions to take to address these challenges.

CISOs and their security programs face nearly overwhelm­ing pressure to take a renewed focus on data protection. The external forces of advanced threats and a multitude of compliance obligations, combined with the internal forces of...

CommVault Simpana software is the only end-to-end data management solution that delivers global data deduplication across replication, backup and archiving functions. This white paper explains more about this single-platform architecture that keeps compressed data on shared storage resources, giving you control over all data management functions.

If you are like most IT executives, at the same time you are grappling with how best to manage your rapid data growth, you...

The term “data deduplication”, as it is used and implemented by Quantum Corporation in this white paper, refers to a specific approach to data reduction built on a methodology that systematically substitutes reference pointers for redundant variable-length blocks (or data segments) in a specific dataset. Read on to learn more.

The term “data deduplication”, as it is used and implemented by Quantum Corporation in this white paper, refers...

The Optim™ Data Privacy Solution de-identifies application data so that it can be safely used in testing or training environments. By substituting fictionalized yet realistic data for confidential information, Optim enables sites to test effectively while supporting privacy compliance initiatives. Protecting privacy is not optional - in many cases, it's the law! The Optim™ Data Privacy Solution de-identifies application data so...

This comprehensive white paper delves into the world of big data technologies, such as Hadoop, and how to extend it into an enterprise-ready big data platform. It discusses everything related to big data, including common challenges and patterns that exist, and concludes with a chapter on big data analytics with real-world success stories.

This comprehensive white paper delves into the world of big data technologies, such as Hadoop, and how to extend it into an enterprise-ready big data...

This paper examines the complex data security and privacy threat landscape; compliance and regulatory requirements; and, the IBM InfoSphere portfolio of integrated solutions designed to help you stay focused on meeting your organization’s business goals, achieving compliance and reducing risk.

Data security and privacy: A holistic approach
IBM Software Thought Leadership White Paper

News headlines about the increasing frequency of unauthorized...

This e-guide explains how data deduping can save organizations time and money by enabling more data recovery from disk and reducing the footprint and power and cooling requirements of secondary storage. Continue reading to learn more about using data deduplication tool in disk backup.

Data deduplication tools promise to reduce the transfer and storage of redundant data, which optimizes network bandwidth and storage capacity. Storing data...

paper provides an overview of Oracle’s capabilities for data warehousing and discusses the key features and technologies by which Oracle-based business intelligence and data warehouse systems easily integrate information, perform fast queries, scale to very large data volumes and analyze any data.

Oracle Database 11g is a comprehensive database platform for data warehousing and business intelligence that combines industry-leading scalability and performance, deeply...

adopt security best practices that bring together both data leak prevention and database security in order to protect data from both internal and external threats while ensuring that the data is available to those who require it.

Data, by IDC estimates, is doubling every two years, but as the overall amount of data grows, so does the amount of sensitive and regulated data. All data stored by enterprises requires high levels of security. This IDC white paper presents a proactive...