Big Data Analytics with Apache Spark 2018, Kongu Engineering College, Workshop, ERODE, Tamil Nadu, 5th October 2018

  • Category: Workshop
  • Start Date: 5th October 2018
  • End Date: 5th October 2018
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Big Data Analytics with Apache Spark 2018

Description

Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity.
Apache Spark is a lightning-fast cluster computing technology, designed for fast computation. It is based on Hadoop MapReduce and it extends the MapReduce model to efficiently use it for more types of computations, which includes interactive queries and stream processing. The main feature of Spark is its in-memory cluster computing that increases the processing speed of an application. Spark is designed to cover a wide range of workloads such as batch applications, iterative algorithms, interactive queries and streaming.

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Big Data is a phrase used to mean a massive volume of both structured and unstructured data that is so large it is difficult to process using traditional database and software techniques. In most enterprise scenarios the volume of data is too big or it moves too fast or it exceeds current processing capacity.
Apache Spark is a lightning-fast cluster computing technology, designed for fast computation. It is based on Hadoop MapReduce and it extends the MapReduce model to efficiently use it for more types of computations, which includes interactive queries and stream processing. The main feature of Spark is its in-memory cluster computing that increases the processing speed of an application. Spark is designed to cover a wide range of workloads such as batch applications, iterative algorithms, interactive queries and streaming.

TOPICS:

• Introduction to Big Data
• Evolution of Big data systems
• Why Apache Spark?
• Apache Spark architecture
• Installing Spark
• Working with Resilient Distributed Dataset (RDD) and operations
• RDD Map/Reduce
• RDD examples in Python / Scala
• Using Spark for streaming data
• Spark SQL

Departments

Fest Guests

Dr.P.Natesan, Professor, CSE, Kongu Engineering College

How to reach Kongu Engineering College, ERODE

College is situated in between perundurai to Erode

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