Apache Spark™ - Lightning-Fast Cluster Computing
In this session we will get introduced to Apache Spark which is a lightning-fast cluster computing framework built on top of Hadoop. Hadoop by design is meant for long running batch of map-reduce jobs over large datasets spanning from a few GBs to PBs. Over the years the users expectations have increased and want services powered by real time analytics. Here is where Apache Spark shines! We will cover how Apache Spark provides the capabilities of handling batch, streaming and interactive big data use cases in all-in-one programming paradigm while helping companies leverage their investment in existing Hadoop infrastructure. Get ready to see some blazingly fast Big Data processing!
Ashwini is a Software Architect focusing on Big Data and NoSQL initiatives. He has over 10 years of experience in leading and implementing enterprise grade solutions in pharmacy, health care and travel industries. He is enthusiastic about open source, cloud, and mobile development. At SciSpike, a development and consulting firm, he makes clients successful in adopting best enterprise software development and governance practices through consulting, training and software development services.
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