5 Factors Impacting Your Big Data Project’s Performance

Present's

Factors Impacting Your Big DataProject's Performance

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.

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.

OVERLOADED NETWORKS

Poorly constructed internal networks are quicklyoverwhelmed by rapid data growth.

SCALABILITY (OR LACK OF IT)

Data sets grow quickly and unexpectedly, and theinfrastructure behind it needs to be able to grow

with it.

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.

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/