An aspiring Big Data scientist should look no further than Chandra Sekhar Saripaka.
As a Senior Data Engineer with DataSpark, he was one of two speakers from the company who participated in Strata + Hadoop World 2016 in Singapore, a conference which attracted the top minds around the world working on Big Data and analytics.
Chandra spoke on how to go “from telco data to spatial-temporal intelligence APIs”, by “architecting through microservices”.
He explained in detail the production architecture at DataSpark and how it works through terabytes of spatial-temporal telco data each day in PaaS mode.
Chandra also shared with fellow data scientists attending his talk how the platform operates in SaaS mode.
Chandra’s in-depth knowledge of Big Data makes him the best person to give pointers to an aspiring IT engineer in the field.
I’ve asked Chandra to share his valuable insights on carving a career in this intensely competitive arena.
What must today’s IT worker do to get a foothold in Big Data?
Chandra: There is a paradigm shift in the way traditional software is being transformed into data-driven software.
With the rise of many small and medium startups in the market, various cloud-ready tools – in terms of storage, compute, processing and visualisation – have emerged.