Thursday, June 9, 2016

DBTA 100 2016 - The Companies That Matter Most in Data

 
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DBTA 100 2016 - The Companies That Matter Most in Data
 
The IT landscape is always shifting and being contoured by external market forces and internal industry initiatives. Against this changing backdrop, each year, DBTA presents a list of 100 companies that matter in data, compelling us to pause and reflect on the market changes taking place.
 
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News, Columns & Features Spacer Dell
 
 
12 Game-Changing Technologies Fueling the Data-Driven Enterprise
 
Business leaders recognize that the key to success in hyper-competitive markets is the ability to leverage data to draw insights that predict and provide prescriptive action to stay ahead of markets and customer preferences. For that, they need to keep up with the latest solutions and approaches in data management. Here are 12 of the key technologies turning heads—or potentially opening enterprise wallets—in today’s data centers.
 
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Dealing With Big Data’s Trough of Disillusionment
 
For those who haven't encountered the term, the "trough of disillusionment" is a standard phase within the Gartner hype cycle. New technologies are expected to pass from a "peak of inflated expectations" through the trough of disillusionment before eventually reaching the "plateau of productivity." Most new technologies are expected to go through this trough, so it's hardly surprising to find big data entering this phase.
 
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The Importance of Keeping Your DBMS Up-to-Date
 
Keeping your DBMS software up-to-date can be a significant job. The typical release cycle for DBMS software is every 18 to 36 months for major releases, with constant bug fixes and maintenance updates delivered in between those major releases. In a complex, heterogeneous, distributed database environment, a coherent upgrade strategy is essential. 
 
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Relational and Unaware
 
Many of the NoSQL tools out there, such as MongoDB, Couchbase, Hadoop, and others, purport to be leading a revolution and breaking the bonds of servitude to the restrictive, inflexible, established, relational market. They claim users need more, users need better … and they are there to help. Of course, when speaking about those relational flaws, the comments always focus on problematic aspects of a DBMS' physical implementation.
 
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