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Trusted Business Advisors, Expert Technology Analysts

Research Areas

Big Data

Includes Big Data Appliances, Scale-out Object Storage, On-Premise and Cloud Big Data, Data Management at scale, Big Data Protection and Operations.

Our big data practice covers the whole big data storage and analytics space for enterprises, from on-premises big data storage to cloud-scale infrastructure. We analyze all the emerging and established technology and trends in these active and growing categories, and communicate their detailed impacts on the enterprise and to their business-focused big data analysts. Corporations are now actively looking for key transformative technologies to help them meet their new big data challenges and the increasing demands of both data scientists and production application owners, all while controlling the exploding costs of storing, managing and protecting their growing big data stores.

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Report

Metalogix Archive Manager – Exchange Edition Provides Storage Optimization & eDiscovery for Mid-Tier

Archiving is the key technology for enabling eDiscovery. Archiving optimizes the Exchange storage infrastructure for dramatic storage savings and improved disaster recovery and provides lifecycle management for methodical (and highly automated) data retention. eDiscovery in turn runs much faster on compact archival storage than on crowded Exchange servers or restored backup. The result is a clear win-win for Exchange administrators and the groups they support.

Publish date: 12/26/11
Free Reports

MCS-Behind The Firewall: A Study Of The Corporate eDiscovery Buyer (Abstract Only)

Taneja Group is pleased to announce the general availability of the 2011 Taneja Group report on cor- porate buying practices for eDiscovery. This extensive 90-page Report is an invaluable resource in your marketing strategy, product planning, and competitive efforts in the challenging world of eDiscovery and Compliance.

Publish date: 07/01/11
Report

Predictive Coding For Document Review: Real? Yes. Game Changer? Not yet.

This Opinion will discuss the use of predictive coding for automated document re- view. Predictive coding has been stampeding the eDiscovery press for the last few weeks as a certain company patents some specific technologies around the process. (They tried to register “predictive coding” as a trademark but that got shot down.) However, the resulting storm of protest pointed out three important things: 1) eDiscovery vendors have used elements of predictive coding for years but may call it something else, 2) predictive coding can occur throughout the eDiscovery cycle, and 3) predic- tive coding for automated review is not ready to take the legal world by storm.

Publish date: 03/23/11
Profile

Company Profile: AccessData

Since its founding, AccessData has been a worldwide leader in computer forensics. The company developed its core technology to support cyber-security and eDiscovery markets, and has now has added industry-standard review capabilities to its eDiscovery line. The end result is an integrated architecture that enables AccessData to offer single-vendor efficiencies across the highest levels of digital forensics, cyber-security and litigation support. 

Publish date: 03/10/11
Profile

The Highly Efficient eDiscovery Process: AccessData and Summation

 AccessData acquired CT Summation in July 2010 to extend its eDiscovery platform. We believe they will be one of the success stories. AD eDiscovery already offered identification, collection, preservation, processing, analysis and early case assessment. What they lacked was a review and production platform, and they filled this gap by acquiring venerable CT Summation.

Publish date: 02/01/11
Profile

StoredIQ’s Flagship eDiscovery for SharePoint

More and more companies are using their SharePoint 2010 systems as a collaborative workspace and true content management system – and basic eDiscovery tools for SharePoint have not kept up. This is why StoredIQ is different: it has integrated its Information Intelligence Platform with SharePoint far beyond the document libraries.  

Publish date: 02/01/11
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