Top 5 Pain Points for Big Data Infrastructure and how to solve them
                     TOP 5 PAIN POINTS FOR 
BIG DATA 
INFRASTRUCTURE AND 
HOW TO SOLVE THEM
WITH BIG DATA COMES BIG RISKS & 
THE PAIN OF HANDLING THE RISKS, 
HENCE WE BRING TO YOU OUR 
COMPREHENSIVE PAIN-RELIEF 
GUIDE TO COMBAT BIG DATA 
CHALLENGES FOR BIGGER 
VICTORIES.
1. STORAGE MEDIA
Disk Input/output bottlenecks are one common 
source of delays in data processing. And there are 
few tricks which can help in minimizing the impact.
2. SCALABILITY 
If the data infrastructure can’t increase in size as the 
data grows, then it will undercut your ability to turn 
data into value. And on the other hand you wouldn’t 
want to maintain substantially more big data infra 
then the one you need. 
3. NETWORK CONNECTIVITY
Things can go wrong due to multiple reasons. And 
here are the most common problems you might 
experience – that delay or prevent you from 
transforming big data into value. 
4. SUB-OPTIMAL DATA 
TRANSFORMATION
Usually applications structure the data in a way that 
works best for them, with little consideration of how 
well those structures would work for other 
applications or contexts. 
5. DATA SECURITY:-
As we all know, with big data comes big risks. Big 
data inputs come in from multiple sources – it is 
important to ensure that all the data which 
comes in are secured.
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https://ai-techpark.com/top-5-pain-points-for-big-data-infrastructure-and-how-to-solve-them/