5 Factors Impacting Your Big Data Projects Performance

5 Factors Impacting Your Big Data Projects Performance5 Factors Impacting Your Big Data Projects Performance5 Factors Impacting Your Big Data Projects Performance5 Factors Impacting Your Big Data Projects Performance5 Factors Impacting Your Big Data Projects Performance5 Factors Impacting Your Big Data Projects Performance5 Factors Impacting Your Big Data Projects Performance

FACTORS IMPACTING

YOUR BIG DATA PROJECT’S

PERFORMANCE

5

PRESENTED BY:

BIG DATA HAS

HUGE POTENTIAL.

BUT IT COMES WITH ACCOMPANYING RISK

!

Big data projects are complex with numerous moving parts that impact whether a big data project is successful or not If your big data project currently isn’t up to par, consider these 5 factors.

Transferring data to a new database, new cloud platform, or new subscription within the cloud creates

an extra step in an already complex process

1 STOP MOVING YOUR DATA

MOVING DATA IN THE MIDDLE

OF A PROJECT INTERRUPTS THE ANALYTICS PROCESS.

End Result = Bottlenecks

Poorly constructed internal networks are quickly overwhelmed by rapid data growth

2 OVERLOADED NETWORKS

PLAN AHEAD TO ENSURE NETWORKS

CAN ACCOMMODATE NEW AND RAPIDLY GROWING WORKLOADS.

Data sets grow quickly and unexpectedly, and the infrastructure behind it needs to be able to grow with it

3 SCALABILITY (OR LACK OF IT)

A SCALABLE STORAGE SYSTEM WILL PREVENT BOTTLENECKS AND LEAD TO FASTER AND EASIER DATA ACCESS.

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

4 WRONG DATA FOCUS

IDENTIFY WHAT DATA MATTERS MOST AND WHAT DATA IS RELEVANT TO WHICH TEAMS THEN, MAKE SURE THE DATA IS ACCESSIBLE TO THOSE TEAMS.

Big data insights need to be acted upon quickly.

5 SLUGGISH DATA CULTURE

CREATING A DATA-DRIVEN CULTURE IS JUST AS IMPORTANT AS HAVING THE RIGHT INFRASTRUCTURE IN PLACE.

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