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Learn Apache Spark and Scala from Scratch

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Anurag Kaushik

1:54:40

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  • 1 - Functions and Procedures in Scala.mp4
    05:19
  • 2 - Call By Name Parameter.mp4
    03:05
  • 3 - Functions with Named Arguments.mp4
    02:15
  • 4 - Functions with Variable Arguments.mp4
    02:32
  • 5 - Recursion Functions.mp4
    02:06
  • 6 - Default Parameters for a Function.mp4
    02:57
  • 7 - Nested Functions.mp4
    04:41
  • 8 - Anonymous Functions.mp4
    03:17
  • 9 - Strings in Scala.mp4
    07:27
  • 10 - Arrays in Scala.mp4
    09:11
  • 11 - Scala Collections.mp4
    01:58
  • 12 - Lists in Scala.mp4
    09:50
  • 13 - Sets in Scala.mp4
    08:28
  • 14 - Maps in Scala.mp4
    09:38
  • 15 - Tuples in Scala.mp4
    06:15
  • 16 - Options in Scala.mp4
    09:20
  • 17 - Exception Handling in Scala.mp4
    03:45
  • 18 - Pattern Matching.mp4
    06:36
  • 19 - Scala Traits.mp4
    04:42
  • 20 - Scala Files Input Output.mp4
    06:06
  • 21 - Extractors in Scala.mp4
    05:12
  • Description


    A Basic to Advanced Overview for processing Big Data with Spark

    What You'll Learn?


    • OOPS and Functional Programming in Scala
    • Apache Spark Framework
    • Advanced Spark Programming
    • Integrating Spark with Kafka
    • Spark MLib - Machine Learning
    • Spark Streaming, SparkSQL, Spark GraphX etc.

    Who is this for?


  • Professionals aspiring to learn the basics of Big Data Analytics
  • Spark Developer
  • Analytics Professionals
  • ETL Developers
  • More details


    Description

    This course on Apache Spark and Scala aims at providing an advanced expertise in big data Hadoop ecosystem. This course will provide a standard skillset which helps one become a specialist on the top of Big data Hadoop developer.

    Apache Spark is a lightning-fast cluster computing designed for fast computation.

    The course starts with a detailed description on limitations of mapreduce and how Spark can help overcome them. Further it covers a deeper dive into the Scala programming language.

    Moving on it covers Spark as a standalone cluster and an understanding of Resiliient Distributed Datasets.

    The course also covers concepts of Spark SQL using SQL queries through SQL context and Hive Queries through Hive context.

    This course certainly provides material required for building a career path from Big data Hadoop developer to BIg data Hadoop architect.

    This course has been prepared for professionals aspiring to learn the basics of Big Data Analytics using Spark Framework and become a Spark Developer. In addition, it would be useful for Analytics Professionals and ETL developers as well.

    Before you start proceeding with this course, we assume that you have prior exposure to Scala programming, database concepts, and any of the Linux operating system flavors.

    Who this course is for:

    • Professionals aspiring to learn the basics of Big Data Analytics
    • Spark Developer
    • Analytics Professionals
    • ETL Developers

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    Anurag Kaushik
    Anurag Kaushik
    Instructor's Courses
    Hi there I am here to share my knowledge to the world. I have a passion to teach - with enthusiasm and love for programming is evident in my every video. I hope to help students realize the power of programming and jumpstart their careers through my courses.  I have an experience with many technologies so I am here to share with all of you.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 21
    • duration 1:54:40
    • Release Date 2023/02/13