Past Meetup

"Improving Apache Spark™ In-Memory Computing with Apache Ignite™"

This Meetup is past

60 people went

Atlanta Tech Village

3423 Piedmont Road Northeast · Atlanta, GA

How to find us

Behind Alpharetta Fire Department

Location image of event venue


Learn how Apache Ignite simplifies development and improves performance for Apache Spark. In his talk, GridGain technology evangelist Akmal Chaudhri will explain how Apache Spark and Ignite are integrated, and how they are used together for analytics, stream processing, and machine learning.

By the end of this talk you will understand:

* How Apache Ignite's native RDD and new native DataFrame APIs work
* How to use Ignite as an in-memory database and massively parallel processing (MPP) style collocated processing for preparing and managing data for Spark
* How to leverage Ignite to easily share state across Spark jobs using mutable RDDs and DataFrames
* How to leverage Ignite distributed SQL and advanced indexing in memory to improve SQL performance

About the speaker

Akmal Chaudhri, PhD., is GridGain’s Technology Evangelist. His role is to help build the global Apache Ignite community and raise awareness through presentations and technical writing. Akmal has over 25 years experience in IT and has previously held roles as a developer, consultant, product strategist and technical trainer. He has worked for several blue-chip companies such as Reuters and IBM, and also the Big Data startups Hortonworks (Hadoop) and DataStax (Cassandra NoSQL Database).


3423 Piedmont Road Northeast,
Atlanta, GA, 30305
The room number is 415, but you will need to be brought up to the room. Please be checked-in at the lobby of ATV and ask for Liz C.

We will be purchasing parking passes for everyone.

Event details:
7:00 Socialize and eat pizza
7:30 Main talk
8:30 Q&A Session
8:40 Lightning talks

Come, learn and find your way into the modern Data Science technologies. We look forward to your participation in a fun and exciting Data Science program focused on the technologies around the Data Science and Data Analytics space.