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Apache Spark & Scala Course at IT Tech Rider





₹ 15,000  
#703, 30th Main, 1st Phase, 2nd Stage, ,
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About The Course:-

Apache Spark is an open source cluster computing framework. Originally developed at the University of California, Berkeley’sAMPLab, the Spark codebase was later donated to the Apache Software Foundation, which has maintained it since. Spark provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance

Pre-requisites for this training

Spark Core is the foundation of the overall project. It provides distributed task dispatching, scheduling, and basic I/O functionalities, exposed through an application programming interface (for Java, Python, Scala, and R) centered on the RDD abstraction. This interface mirrors a functional/higher-order model of programming: a “driver” program invokes parallel operations such as map, filter or reduce on an RDD by passing a function to Spark, which then schedules the function’s execution in parallel on the cluster.These operations, and additional ones such as joins, take RDDs as input and produce new RDDs. RDDs are immutable and their operations are lazy; fault-tolerance is achieved by keeping track of the “lineage” of each RDD (the sequence of operations that produced it) so that it can be reconstructed in the case of data loss. RDDs can contain any type of Python, Java, or Scala objects.

Course Objectives:-

Module1:

  • Introduction to Spark

  • Uses of Spark

  • Concept of Class, function and inheritance

  • Apache Spark Installation

  • RDD operations

Module 2:

  • Apache spark actions and transformations

  • RDD key value

  • RDD operations

  • Variables

  • Accumulators

Module 3:

  • Spark Internal Execution

  • Spark Cluster details

  • Running spark applications

  • Memory usage

  • Running applications in standalone mode cluster

  • Spark Execution flow

  • Logical Graph of RDD

  • RDD transformations

Module 4:

  • SQL operations in Spark

  • Basics about streaming

  • SQL basics

  • Creating Data Frame

  • Temporary table’s creations

  • Writing Data to local file

  • Loading and processing files

Module 5:

  • Machine learning basics

  • Various related terminologies

  • Uses

  • Supervised and Unsupervised learning

Module 6:

  • Practical training on live projects

Benefits of Spark Training:

  • This training will help to excel in the many reputed industries.

  • Build your career in networking, advertising and many other IT fields

  • Great demand in job market

  • Helps to boost up your career

Spark trainer’s profiles:

  • Qualified professional with more than 10 years of experience

  • Working in top MNCs

  • Able to handle students queries

  • Manage 2000+ students at a time

  • Strong theoretical and practical knowledge

  • Spark certified professionals

Spark & Scala placement achievements:

  • 95% placement record

  • 2000+ interviews organized

  • 2000+ students trained

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Price: ₹ 15,000
Start-End Dates: Contact Institute
Instructional Level: Appropriate for All
Certification
Quizzes
Live Projects
Doubt Clearing Sessions
Reading Material
EMI Option
Online Support
Post completion course access
Practice Exams
Placement assistance
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