SPEEDING UP IOT using inmemory computing stream ingestion, processing analytics

GAIT - Greater Atlanta Internet of Things
GAIT - Greater Atlanta Internet of Things
Public group
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In this talk, Akmal Chaudhri, technology evangelist at GridGain Systems, will share the best practices used for real-time stream ingestion, processing and analytics using Apache Ignite, Apache Kafka, Apache Spark and other technologies.

In his talk, Akmal, will explain how to:
* Optimize stream ingestion from Kafka and other popular messaging and streaming technologies
* Architect pre-processing and analytics for performance and scalability
* Implement and tune Apache Ignite and Spark together
* Design to ensure performance for real-time reports

By the end of Akmal's talk, you’ll understand best practices for stream ingestion, processing and analytics using in-memory computing.

Apache Ignite, an open source memory-centric distributed database, caching, and processing platform used for transactional, analytical and streaming workloads -- delivering in-memory speeds at petabyte scale. https://ignite.apache.org

About the speaker Akmal Chaudhri 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).