Apache Spark crash course Class Room Training on 25th and 26th November

Apache Spark crash course Class Room Training on 25th and 26th November

 

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About The Event

 

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Course Content:

 

 SPARK - Basic & Advanced

 

 SPARK  with SCALA

 

 * Scala overview

 

 * Introducing Scala

 

* Journey – Java to Scala

 

* What is Scala?

 

* Why Scala?

 

 * Scala Installation

 

* Execution Mechanisms

 

 * Scala in interactive mode

 

* Scala Scripts

 

 * Scala Advanced programming

 

 * Defining Functions

 

 SPARK - Python

 

 * SPARK - Python overview

 

 * What is Python?

 

* Why Python?

 

 * How to use PYSPARK?

 

* Advantages of Python in SPARK

 

* Web scraping using Python

 

* Handling high volume unstructured data using Python

 

* Generating huge volumes (10 crore + records) using Python

 

 SPARK

 

 * Spark overview

 

 * What is Spark?

 

* Why Spark?

 

* Linking with Spark

 

* Initializing Spark

 

* Using the Shell

 

 * Spark Installation

 

* Resilient Distributed Datasets (RDDs)

 

 * Parallelized Collections

 

* External Datasets

 

* RDD Operations

 

* Basics, Passing Functions to Spark

 

* Working with Key-Value Pairs

 

* Transformations

 

 * RDD Persistence

 

 * Which Storage Level to Choose?

 

* Removing Data

 

* Shared Variables

 

* Broadcast Variables

 

* Accumulators

 

 * SPARK Streaming

 

 * What is Spark Streaming

 

* Why we need Spark Streaming

 

* Differences between SPARK Streaming Vs Flume Vs Kafka

 

* Dynamic memory allocation of Streaming

 

* Configuration and settings for Streaming path and sources

 

 * Spark SQL

 

 * Why Spark SQL

 

* Integrating SPARK SQL with RDBMS

 

* Performance considerations using SPARK SQL

 

* Integrating unstructured sources to SPARK SQL

 

* RDD usage in SPARK SQL

 

 * SPARK GRAPHX

 

 * What is Spark GraphX

 

* How to create connected Data Structures

 

* Develop your first DATA GRAPGH

 

* Using RDD's and SPARK SQL as input

 

* Handling complex DATA GRAPHS

 

 * SPARK R

 

 * What is R?

 

* How to work on scientific calculations using SPARK R

 

* How to execute Statistical operations using SPARK R

 

 

 

Expert Faculty with 20years experience 

 

 

 

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