DataHour: An Introduction to Big Data Processing using Apache Spark
DataHour: An Introduction to Big Data Processing using Apache Spark
04 Feb 202307:02am - 04 Feb 202308:02am
DataHour: An Introduction to Big Data Processing using Apache Spark
About the Event
Apache Spark is an open-source and distributed processing system used for big data workloads. It utilizes in-memory caching, and optimized query execution for fast analytic queries against data of any size. It provides development APIs in multiple programming languages like Java, Scala, Python and R, and also supports code reuse across multiple workloads.
In this DataHour, Akshay will be providing an overview of Apache Spark and its capabilities as a distributed computing system. Additionally, we will delve into internal data processing using Spark and explore techniques for performance tuning of Spark jobs. Also, this session aims to cover the concepts of parallel computing and how they relate to working with big data in Spark. This DataHour is for students and professionals looking to gain a deeper understanding of big data processing using Spark.
Prerequisites: Passion to learn data science, and an eagerness to take on new challenges.
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Who is this DataHour for?
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