Data Management

ESG believes the term “big data” is not market hype but is, in fact, reality for many organizations across multiple vertical industries – and that big data is altering the data center landscape. Understanding the technology considerations related to managing data from “cradle to grave” can enable organizations to improve how they capture, process, analyze, transport, and store corporate information more efficiently and cost-effectively.

Managing Data Growth by Retiring Legacy Applications Recorded Webinar

Drive Efficiencies with Structured Data Management

Market Report: Structured Data Reference Model: Managing Databases in the Efficient Data Center

In today’s 24/7 global economy, business requires that IT deliver systems that are online and available all of the time. This “Now” culture is pushing real-time operational systems to their limits. While IT organizations need to invest in systems that meet business needs, they also need to be conscientious of the fact that while budgets are growing, they may not be growing as fast as requirements. Management is looking to eliminate waste in key business areas as a way to cut cost out of inefficient operations. Applying a framework for how organizations manage information stored in their databases may be an opportunistic place to start. ESG’s Structured Data Reference Model is an example of such a framework.

Recently Published Reports

Research Reports

Application Retirement Trends

In order to assess current data management trends, as well as plans for the next 12-18 months, ESG recently surveyed 270 North American IT professionals representing large midmarket (500 to 999 employees) and enterprise-class (1,000 employees or more) organizations. Respondents were familiar with their organization’s current database and legacy application environment, as well as forward-looking plans application retirement.

The Impact of Big Data on Data Analytics

In order to assess current data analytics and data management trends, as well as plans for the next 12-18 months, ESG recently surveyed 270 North American IT professionals representing large midmarket (500 to 999 employees) and enterprise-class (1,000 employees or more) organizations. Respondents were familiar with their organization’s current database environment as well as forward-looking strategies involving data analytics and integration initiatives.

Click for a PDF of the ESG Infographic: Big Data.

Market Landscape Reports

Big Data Analytics Platforms: New Data Analytics Platforms Designed for Big Data

Big data analytics projects are popping up on lists of priorities in advance of a clear understanding of what big data even means. In this Market Landscape Report, with the goal of educating those responsible for making investment decisions, ESG reviews current and emerging approaches to big data analytics platforms and reviews the pros and cons of each.

Database Security: Keeping Data Safe

Most will agree that corporate databases are a rich source of confidential and private information. This data needs to be protected via methods that comply with corporate and government regulations. New data requirements demand technology changes, but will IT organizations have the budgets, skills, tools, and processes necessary to keep the information residing in these databases secure? This ESG Market Landscape Report reviews current database security approaches and assesses their strengths and weaknesses.

Managing Database Growth – Optimizing Database Application Lifecycles

This ESG Market Landscape Report defines the market structure, and classifies the many database application solutions that can help IT organizations address the challenges associated with database data growth.

Market Reports

Application Retirement Options

This ESG Market Report aims to help IT organizations identify those applications that are suitable for retirement, analyze the needs of various entities who must access the data stored in those applications, and develop a comprehensive plan for ensuring that the data in the applications can be accessed and leveraged as necessary, while retaining the original data in order to meet compliance standards.

Getting Ready for (Big) Data Integration

Traditional data integration methods are struggling to keep up with demand for actionable information from diverse and growing data sources. Vendors should focus not just on addressing the needs of “big data,” but on data integration platform innovations that provide high performance, agility, and end-user capabilities in today’s service-oriented IT paradigm.

Briefs

Information Governance with IBM InfoSphere Optim and InfoSphere Guardium

IBM’s InfoSphere Optim and IBM InfoSphere Guardium solutions manage data over its entire lifecycle through archiving, test data management, and application retirement while ensuring security and privacy via automated detection of sensitive data, database access and activity monitoring and prevention, and data masking and encryption.

Informatica 9.1 and Integrating Big Data

Informatica customers upgrading to the latest 9.1 version have an opportunity to incorporate and streamline their data integration efforts for big data and do so while controlling data growth.

Symantec to Resell Informatica Data Archive

Symantec’s archive customers can now expand their long term retention management capabilities to databases—more importantly, Symantec’s NetBackup customers can reduce the long backup windows plaguing their large enterprise databases.

Lab Reports

EMC Greenplum Data Computing Appliance

ESG Lab validated the real-world performance and functional capabilities of the EMC Greenplum Data Computing Appliance (DCA). Testing was designed to assess the ease of use, performance, scalability, and analytics-readiness of the DCA platform running an extremely large data set using a real-world retail data model.

ParAccel PADB and NetApp SAN Optimized Solution: High Performance Analytics with Advanced Data Management Capabilities

ESG Lab validated the functional capabilities of ParAccel Analytic Database (PADB) Blended Scan SAN integration in combination with NetApp Snap and FlexClone technology—an integrated solution designed to address the analytics and data management challenges related to growing “big data” sets.

Julie Lockner’s Blog: Bigger Data