Modern Big Data Architecture Patterns

The Big Data ecosystem is growing rapidly. Every week there is a new ‘cool’ project coming out. As an enterprise architect how do you decide which technologies to adopt? Should you stay conservative with the tried and true or should you be on the bleeding edge?

These are not easy questions to answer; most of the times the answer is ‘it depends’ :-)

In this talk we are going to take a different approach to tackle this question. We will consider a few use cases and suggest a Big Data stack for each use case. Our use cases include ETL workloads, streaming data and real time dashboards.

We will also highlight some of the up and coming technologies in the Big Data ecosystem.

Sujee Maniyam is a seasoned Big Data practitioner and teaches Big Data technologies (Hadoop, Spark, NoSQL and Cloud). He is an open source contributor and author of 'Hadoop illuminated' (an open-source book on Hadoop) and 'HBase Design Patterns'. Sujee is a frequent speaker at various conferences and meetups. He also advises and mentors various firms. Sujee is a founder and principal at Elephant Scale that specializes in training around Big Data technologies. Sujee's work can be found @ http://sujee.net