5 factors impacting your big data project’s performance
TRANSCRIPT
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Present's
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Factors Impacting Your Big DataProject's Performance
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Big data projects are complex with numerousmoving parts that impact whether a big dataproject is successful or not. If your big dataproject currently isn’t up to par, consider
these 5 factors.
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STOP MOVING YOUR DATA
Transferring data to a new database, new cloudplatform, or new subscription within the cloud
creates an extra step in an already complex process.
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OVERLOADED NETWORKS
Poorly constructed internal networks are quicklyoverwhelmed by rapid data growth.
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SCALABILITY (OR LACK OF IT)
Data sets grow quickly and unexpectedly, and theinfrastructure behind it needs to be able to grow
with it.
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WRONG DATA FOCUS
Even with every other factor fully optimized,focusing on the wrong data leads to dead ends and
a team that is swamped with irrelevant information.
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SLUGGISH DATA CULTURE
Big data insights need to be acted upon quickly.
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Source: http://www.cloudstoragecomparison.net/benefits-cloud-storage-small-businesses/