Big Data Challenges Explained
September 24, 2013
According to the recent Info World story “Big Data Means Big Challenges in Lifecycle Management” Whereas we thought that managing data was an old challenge, there are more Big Data challenges on the horizon.
As the article explains, integrated lifecycle management faces a whole set of new problems when it comes to tackling big data. The issues addressed have to do with: volume, velocity, and variability.
The article highlights issues surrounding big data scales:
“Big data does not mean that your new platforms support infinite volume, instantaneous velocity, or unbounded varieties. The sheer magnitudes of new data will make it impossible to store most of it anywhere, given the stubborn technological and economic constraints we all face. This reality will deepen big data managers’ focus on tweaking multi-temperature storage management, archiving, and retention policies. As you scale your big data environment, you will need to ensure that ILM requirements can be supported within your current constraints of volume (storage capacity), velocity (bandwidth, processor, and memory speeds), and variety (metadata depth).”
As data continues to grow in size and become more ephemeral, tech companies must keep up by creating software to tackle it.
Jasmine Ashton, September 24, 2013
Sponsored by ArnoldIT.com, developer of Beyond Search
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