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IT Managers and Big Data

Author: Pete Langlois/Tuesday, June 17, 2014/Categories: SNI Companies

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Everywhere you look someone is writing or talking about their Big Data solution or strategy.  The advisors at Gartner define big data as:  high-volume, high-velocity, and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making. In other words, it is data that is so large and/or so complex that you can’t manage it using traditional data processing applications.

Increased knowledge about Big Data also brings increased expectations.  Because Big Data can provide new and integrated data points corporate leaders think internal IT can now deliver on almost any information request.

For today’s IT Manager, Big Data means bridging the gap between the promise of technology and the capabilities of the company’s current investment.  And sometimes the promise and the reality are worlds apart.  The following are the three most important areas for IT Managers’ focus as Big Data capabilities and expectations continue to evolve:

Databases: Traditional relational databases cannot deal effectively with Big Data. Managers need to explore document databases to address a broad set of applications and other architectures optimized for more specific applications. In addition to user interactions, most operational systems need to provide real-time intelligence about data in the system. Companies also need to explore their need for analytical database tools and systems.

Storage: Current data storage may not be sufficient. To work with Big Data, storage needs to be able to handle capacity and provide low latency for analytics work. Options to explore include hyperscale environments or NAS or object storage.

Processes: Overall processes for collecting, analyzing, and reporting Big Data will be different.  For many IT managers this means exploring tools that allow for end users to access a degree of data on their own - while protecting overall data security and integrity.

By starting to focus on these key areas, IT Managers can help drive maximum value as their organization explore and develop an enterprise approach to Big Data.

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Pete Langlois
Pete Langlois

Pete Langlois

Pete Langlois is the Chief Sales Officer at GEE Group. His blog leverages his decades of experience in hiring, training and retaining top talent and covers trends and issues of interest to employers and job candidates alike.

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Full biography

Pete Langlois is the Chief Sales Officer at GEE Group. His blog leverages his decades of experience in hiring, training and retaining top talent and covers trends and issues of interest to employers and job candidates alike.

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