Apache Spark - Introduction to Spark Streaming and Deep dive

Agenda:

• Spark Streaming Architecture

• How different is Spark Streaming from other streaming applications

• Fault Tolerance

• Code Walk through & demo

• We will supplement theory concepts with sufficient examples

Speakers :

Paranth Thiruvengadam (Architect (STSM), Analytics Platform at IBM Labs)

Profile : https://in.linkedin.com/in/paranth-thiruvengadam-2567719

Sachin Aggarwal (Developer, Analytics Platform at IBM Labs)

Profile : https://in.linkedin.com/in/nitksachinaggarwal

PS : We will upload demo code a few days in advance.

Github Link: https://github.com/agsachin/spark-meetup

Previous meetups:-

1. Introduction to Resilient Distributed Dataset and deep dive

Slides: http://www.slideshare.net/differentsachin/apache-spark-introduction-and-resilient-distributed-dataset-basics-and-deep-dive

Meetup: https://www.meetup.com/Big-Data-Developers-in-Bangalore/events/225159947/

Video: https://www.youtube.com/watch?v=MkeRWyF1y_0

Github: https://github.com/SatyaNarayan1/spark_meetup

2. Introduction to Spark DataFrames/SQL and Deep dive

Slides: http://www.slideshare.net/sachinparmarss/deep-dive-spark-data-frames-sql-and-catalyst-optimizer

Meetup: https://www.meetup.com/Big-Data-Developers-in-Bangalore/events/226419828/

Video: https://www.youtube.com/watch?v=h71MNWRv99M

Github:https://github.com/parmarsachin/spark-dataframe-demo

Looking forward to have a great interactive session. Do provide feedback.