Jul 2016
25 Mon
26 Tue
27 Wed
28 Thu 08:30 AM – 06:25 PM IST
29 Fri 08:30 AM – 06:15 PM IST
30 Sat 08:45 AM – 05:00 PM IST
31 Sun 08:15 AM – 06:00 PM IST
Anand Katti
Spark has revolutionized the way Big data computation are done. It provides efficient way of distributed data processing computation. In this session, I will cover our experience of implementing a large scale big data platform (> 100 TB) using Spark and challenges faced/lessons learned
Spark has revolutionized the way Big data computation are done. It provides efficient way of distributed data processing computation. In this session, I will cover our experience of implementing a large scale big data platform (> 100 TB) using Spark and challenges faced/lessons learned
Over 17 years of IT industry experience in Data technologies
More than 3+ years of experience in Big Data
Extensive experience in Hadoop, Spark & NOSQL
Architected and delivered multiple end to end Big Data projects
{{ gettext('Login to leave a comment') }}
{{ gettext('Post a comment…') }}{{ errorMsg }}
{{ gettext('No comments posted yet') }}