Avoiding Unnecessary Data
April 16, 2013
Speed is the key. We can talk about a lot of different elements that help build successful big data and analytics, but at the end of the day a program’s speed is the thing that matters above all else. Shaving a few seconds off organizing unstructured data can add up to a lot over the lifecycle of a business and there are some impressive steps being taken to avoid wasting time with unnecessary data, as we discovered in a recent Data Center Knowledge story, “IBM Advances Big Data Platform, PureData System for Hadoop.”
According to the story:
“IBM BLU Acceleration delivers key information to users faster by extending the capabilities of traditional in-memory systems – which allows data to be loaded into Random Access Memory instead of hard disks for faster performance – by providing in-memory performance even when data sets exceed the size of the memory. Innovations in BLU Acceleration include “data skipping,” which allows the ability to skip over data that doesn’t need to be analyzed…”
IBM’s breakthrough couldn’t come at a more appropriate time, because Computer Weekly has just released a story about the millions companies waste on storing and dealing with unnecessary data. Read it here. The key with all this is streamlining. Business moves faster than ever so any step that can be taken to minimize drag is welcomed.
Patrick Roland, April 16, 2013
Sponsored by ArnoldIT.com, developer of Augmentext
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