SHARE
Facebook X Pinterest WhatsApp

The War for Data Management

Suddenly, data management is red hot thanks to the advent of private cloud computing. After being seen as an elite discipline dominated mainly by database administrators, data management architecture is now at the center of the war for dominance over cloud computing. EMC this week outlined its vision for a more elastic approach to managing […]

Written By
MV
Mike Vizard
May 11, 2010

Suddenly, data management is red hot thanks to the advent of private cloud computing. After being seen as an elite discipline dominated mainly by database administrators, data management architecture is now at the center of the war for dominance over cloud computing.

EMC this week outlined its vision for a more elastic approach to managing data stored in distributed caches across the enterprise using dedicated VPLEX appliances. That offering is widely seen to be a response to a similar approach to managing data stored in distributed cache servers that NetApp outlines earlier this year.

According to EMC CTO Pat Gelsinger, the VPLEX architecture allows applications to be processed independently of each other, while the VPLEX appliances manage and synchronize updates to data in the background.

NetApp’s approach, referred to as Data-at-a-Distance, adds a layer of software on top of NetApp storage arrays to make data accessible to distributed cache servers. According to Val Bercovici, senior director for the office of the CTO at NetApp, this approach adds less overhead to the IT infrastructure, while at the same time requiring no changes to existing applications.

EMC and NetApp won’t be the only storage vendors vying for control over the future of data management in the cloud. But one thing that is becoming clearer is that our current approaches to managing data are not going to scale to meet the elastic requirements of the next generation of cloud computing applications, which by definition require systems that can serve up data with a minimum of latency regardless of where an application virtually resides in the enterprise.

That kind of reinvention of the relationship between how data is both managed and stored won’t come easily, but as more data processing takes place in memory on multi-core processors, the more inevitable fundamental changes to data management become.

MV

Michael Vizard is a seasoned IT journalist, with nearly 30 years of experience writing and editing about enterprise IT issues. He is a contributor to publications including Programmableweb, IT Business Edge, CIOinsight and UBM Tech. He formerly was editorial director for Ziff-Davis Enterprise, where he launched the company’s custom content division, and has also served as editor in chief for CRN and InfoWorld. He also has held editorial positions at PC Week, Computerworld and Digital Review.

Recommended for you...

Top ETL Tools 2022
Collins Ayuya
Jul 14, 2022
Snowflake vs. Databricks: Big Data Platform Comparison
Surajdeep Singh
Jul 14, 2022
Identify Where Your Information Is Vulnerable Using Data Flow Diagrams
Jillian Koskie
Jun 22, 2022
IT Business Edge Logo

The go-to resource for IT professionals from all corners of the tech world looking for cutting edge technology solutions that solve their unique business challenges. We aim to help these professionals grow their knowledge base and authority in their field with the top news and trends in the technology space.

Property of TechnologyAdvice. © 2025 TechnologyAdvice. All Rights Reserved

Advertiser Disclosure: Some of the products that appear on this site are from companies from which TechnologyAdvice receives compensation. This compensation may impact how and where products appear on this site including, for example, the order in which they appear. TechnologyAdvice does not include all companies or all types of products available in the marketplace.