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Apache Spark for Data Engineering

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About Event

In order to construct data pipelines and networks that stream, process, and store data, data engineers and data-science DevOps specialists must understand how to combine multiple big data technologies. In this session, discover the architecture and working of Spark and some of the used cases.

In this session you will learn:

  • Typical parts of a data processing pipeline 

  • An Introduction to Apache Spark

  • Features & Benefits of Apache Spark

  • Architecture and working of Spark

  • Apache Spark Usecases

About Abhinav Chaudhary:

  • Abhinav has about 4 years of experience in the design and development of complex enterprise applications.

  • He is currently working and integrating several data-related projects which utilize technologies like Apache Spark, Elasticsearch, Apache Kafka, Logstash, InfluxDB, & Apache Cassandra.

  • He is recognized consistently for performance excellence and contributions to success in companies worked with.

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