October 2014 - UPDATE
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Trends and Applications
The opportunity and imperative to optimize energy use in the data center industry is at an all-time high. In the modern digital era, data centers are as essential as power plants, a massive and critical infrastructure upon which our social, business, retail, healthcare, and government services are run. Gathering good data streams — metrics that matter to both business and IT — and correlating them through powerful analytics will amplify bottom line results. Here are 5 key ways more efficient power utilization can enable data centers to be more effective and efficient.
We are in the midst of a business performance revolution, one where companies and customers alike expect instant access to the tools of commerce from anywhere at any time. Mobility is integral to this revolution, as the enterprise mobility phenomenon is quickly becoming a key driver of business innovation.
At the most fundamental level, consider that at the end of the day NoSQL and SQL are essentially performing the same core task — storing data to a storage medium and providing a safe and efficient way to later retrieve said data. Sounds pretty simple — right? Well, it really is with a little planning and research. Here's a simple checklist of 5 steps to consider as you embark into the world of NoSQL databases.
Apache Hadoop has been a great technology for storing large amounts of unstructured data, but to do analysis, users still need to reference data from existing RDBMS based systems. This topic was addressed in "From Oracle to Hadoop: Unlocking Hadoop for Your RDBMS with Apache Sqoop and Other Tools," a session at the Strata + Hadoop World conference, presented by Guy Harrison, executive director of Research and Development at Dell Software, David Robson, principal technologist at Dell Software, and Kathleen Ting, a technical account manager at Cloudera and a co-author of O'Reilly's Apache Sqoop Cookbook.
In his presentation at the Strata + Hadoop World conference, titled "Unseating the Giants: How Big Data is Causing Big Problems for Traditional RDBMSs," Monte Zweben, CEO and co-founder of Splice Machine, addressed the topic of scale-up architectures as exemplified by traditional RDBMS technologies versus scale-out architectures, exemplified by SQL on Hadoop, NoSQL and NewSQL solutions.
Today, many companies still have most of their transactional data in relational database management systems which support various business-critical applications, from order entry to financials. But in order to maintain processing performance, most companies limit the amount of data stored there, making it less useful for in-depth analysis. One alternative, according to a recent DBTA webcast presented by Bill Brunt, product manager, SharePlex, at Dell, and Unisphere Research analyst Elliot King, is moving the data to Hadoop to allow it to be inexpensively stored and analyzed for new business insight.