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Big Data Management and Advanced Analytics

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Here is a new list for the top 10 considerations for Big Data Management and using Advanced Analytics -courtesy AsterData.

Source-

http://www.asterdata.com/wp_10_considerations/index.php?ref=decisionstats

“There are ten strong reasons why competitive organizations are turning to new data management solutions to handle their growing data volumes and evolving analytic needs. This new platform – a ‘data-analytics server’ – merges data storage and data analytics into one single system to conquer the big data challenge.

Big data storage is handled by a massively parallel database architecture; big data analytics is handled by an integrated analytics engine, so that analytics run fully in-database yielding ultra high performance on large data sets. The analytics engine leverages the powerful analytics framework MapReduce. The results are cost-effective, scalable data storage, ultra high performance and richer data analysis.”

Major considerations include:
Cost-effective, scalable data management - what are the requirements?
Advanced analytic queries - what’s meant by advanced analytics & how easy is it?
Running rich, diverse workloads – key factors for high concurrency & performance

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