Evolution of spark analytics

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Rachit Arora

Oracle Corp, India

: J Comput Eng Inf Technol

Abstract

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In a world of serverless computing users tend to be frugal when it comes to expenditure on compute, storage and other resources. Paying for the same when they aren’t in use becomes a significant factor. Offering Spark as service on cloud presents very unique challenges. Apache Spark has evolved a lot from deploying it on baremetal machines to running it on containers to offering its as serverless offering which gives benefits to its users in terms of ease of use, cost and still offer same experience of using Spark. The purpose of this talk is to discuss the requirements of a data scientist and how they want to use Apache Spark. This talk covers challenges involved in providing serverless Spark clusters share the specific issues one can encounter when running large Kubernetes clusters in production. This talk will also cover what are the hurdles for Spark using Function as a service offerings and how we can overcome them by running Spark on Kubernetes and also using Knative APIs and still achieve the goal of running Spark as Serverless. Reference 1. Yanfeng Zhang, Qinxin Gao, Lixin Gao and Cuirong Wang, "iMapReduce: A Distributed Computing Framework for Iterative Computation" (2019), Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW) 2011 IEEE International Symposium, pp. 1112-1121. 2. Yanfeng Zhang, Qinxin Gao, Lixin Gao and Cuirong Wang, "PrIter: A Distributed Framework for Prioritizing Iterative Computations Parallel and Distributed Systems" (2020), IEEE Transactions onTransactions on Prallel and Distributed Systems, vol. 24, no. 9, pp. 1884-1893.

Biography

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Rachit Arora is a Consulting Member of Technical Staff, Oracle Cloud Infrastructure, IDC. He is key designer of the Oracle’s offerings on Cloud for Hadoop ecosystem. He has extensive experience in architecture, design and agile development. Rachit is an expert in application development in Cloud architecture and development using hadoop and it's ecosystem. Rachit has been active speaker for BigData technologies in various conference like Information Management Technical Conference-2015, ContainerCon NA-2016, Container Camp Sydeny 2017, Microxchg Berlin 2018, DataworksSumit 2018.