Join GridGain technical evangelist Akmal Chaudhri, PhD, at the Big Data Developers Paris meetup Oct. 2 where he'll discuss how to use in-memory technologies to boost Hadoop and Spark ecosystems.
Short description: Hadoop and Spark are fast, but in-memory technologies are blazingly faster. Today, if there is a requirement to speed-up data access it means we need to do something around HDFS, add more nodes to the cluster, purchase more expensive hardware or look for solutions from Hadoop’s ecosystem of technologies. But what if we had some extra RAM in our data warehouse? Could we make use of it?
Akmal will present how to speed up existing Hadoop and Spark deployments by making Apache Ignite responsible for RAM utilization. No code modifications, no new architecture from scratch! Specifically, this presentation will cover : Hadoop Accelerator, HDFS compliant In-Memory File System, MapReduce Accelerator, Spark Shared RDDs, Spark SQL boost.
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).
Technical Evangelist, GridGain Systems