Apache Spark and Scala

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Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

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. 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.

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Different dates availableEnrolment now open

About this course

Understand the limitations of Hadoop mapreduce and how Spark overcomes these limitations
Gain expertise in Scala programming language and its characteristics
Able to work with RDDs' and create applications in Spark
A thorough understanding about Spark SQL by using SQL queries in Spark

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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 6 years

Subjects

  • Programming
  • Syntax
  • SQL
  • Apache
  • Access

Course programme

Module-1 Introduction to Big data, Hadoop and Spark 12 lectures 43:41 1.1 Overview of Big Data 1.2 Introduction to Apache Hadoop 1.3 Hadoop Distributed File System 1.4 Hadoop MapReduce 1.5 Introduction to Apache Spark 1.6 Characteristics of Apache Spark 1.7 Users and Use Cases of Apache Spark 1.8 Job Execution Flow and Spark Execution 1.9 Spark Unified Stack 1.10 Complete Picture of Apache Spark 1.11 Why Spark with Scala 1.12 Apache spark Architecture Module-1 Introduction to Big data, Hadoop and Spark 12 lectures 43:41 1.1 Overview of Big Data 1.2 Introduction to Apache Hadoop 1.3 Hadoop Distributed File System 1.4 Hadoop MapReduce 1.5 Introduction to Apache Spark 1.6 Characteristics of Apache Spark 1.7 Users and Use Cases of Apache Spark 1.8 Job Execution Flow and Spark Execution 1.9 Spark Unified Stack 1.10 Complete Picture of Apache Spark 1.11 Why Spark with Scala 1.12 Apache spark Architecture 1.1 Overview of Big Data 1.1 Overview of Big Data 1.1 Overview of Big Data 1.1 Overview of Big Data 1.2 Introduction to Apache Hadoop 1.2 Introduction to Apache Hadoop 1.2 Introduction to Apache Hadoop 1.2 Introduction to Apache Hadoop 1.3 Hadoop Distributed File System 1.3 Hadoop Distributed File System 1.3 Hadoop Distributed File System 1.3 Hadoop Distributed File System 1.4 Hadoop MapReduce 1.4 Hadoop MapReduce 1.4 Hadoop MapReduce 1.4 Hadoop MapReduce 1.5 Introduction to Apache Spark 1.5 Introduction to Apache Spark 1.5 Introduction to Apache Spark 1.5 Introduction to Apache Spark 1.6 Characteristics of Apache Spark 1.6 Characteristics of Apache Spark 1.6 Characteristics of Apache Spark 1.6 Characteristics of Apache Spark 1.7 Users and Use Cases of Apache Spark 1.7 Users and Use Cases of Apache Spark 1.7 Users and Use Cases of Apache Spark 1.7 Users and Use Cases of Apache Spark 1.8 Job Execution Flow and Spark Execution 1.8 Job Execution Flow and Spark Execution 1.8 Job Execution Flow and Spark Execution 1.8 Job Execution Flow and Spark Execution 1.9 Spark Unified Stack 1.9 Spark Unified Stack 1.9 Spark Unified Stack 1.9 Spark Unified Stack 1.10 Complete Picture of Apache Spark 1.10 Complete Picture of Apache Spark 1.10 Complete Picture of Apache Spark 1.10 Complete Picture of Apache Spark 1.11 Why Spark with Scala 1.11 Why Spark with Scala 1.11 Why Spark with Scala 1.11 Why Spark with Scala 1.12 Apache spark Architecture 1.12 Apache spark Architecture 1.12 Apache spark Architecture 1.12 Apache spark Architecture Module 2: Introduction to Scala Programming Language 5 lectures 37:34 2.1 Introduction to Scala 2.2 Scala Basic Syntax 2.3 Scala Class and Objects 2.4 If else Statements in Scala 2.5 Loops in Scala Module 2: Introduction to Scala Programming Language 5 lectures 37:34 2.1 Introduction to Scala 2.2 Scala Basic Syntax 2.3 Scala Class and Objects 2.4 If else Statements in Scala 2.5 Loops in Scala 2.1 Introduction to Scala 2.1 Introduction to Scala 2.1 Introduction to Scala 2.1 Introduction to Scala 2.2 Scala Basic Syntax 2.2 Scala Basic Syntax 2.2 Scala Basic Syntax 2.2 Scala Basic Syntax 2.3 Scala Class and Objects 2.3 Scala Class and Objects 2.3 Scala Class and Objects 2.3 Scala Class and Objects 2.4 If else Statements in Scala 2.4 If else Statements in Scala 2.4 If else Statements in Scala 2.4 If else Statements in Scala 2.5 Loops in Scala 2.5 Loops in Scala 2.5 Loops in Scala 2.5 Loops in Scala Module 3: Advanced Scala Programming 9 lectures 01:10:01 3.1 Functions and Procedures in Scala 3.2 Access Modifiers 3.3 Strings and Arrays 3.4 Scala Collections 3.5 Scala Traits 3.6 Pattern Matching 3.7 Scala Extractors 3.8 Scala Exception Handling 3.9 Scala Files IO Module 3: Advanced Scala Programming. 9 lectures 01:10:01 3.1 Functions and Procedures in Scala 3.2 Access Modifiers 3.3 Strings and Arrays 3.4 Scala Collections 3.5 Scala Traits 3.6 Pattern Matching 3.7 Scala Extractors 3.8 Scala Exception Handling 3.9 Scala Files IO 3.1 Functions and Procedures in Scala 3.1 Functions and Procedures in Scala 3.1 Functions and Procedures in Scala 3.1 Functions and Procedures in Scala 3.2 Access Modifiers 3.2 Access Modifiers 3.2 Access Modifiers 3.2 Access Modifiers 3.3 Strings and Arrays 3.3 Strings and Arrays 3.3 Strings and Arrays 3.3 Strings and Arrays 3.4 Scala Collections 3.4 Scala Collections 3.4 Scala Collections 3.4 Scala Collections 3.5 Scala Traits 3.5 Scala Traits 3.5 Scala Traits 3.5 Scala Traits 3.6 Pattern Matching 3.6 Pattern Matching 3.6 Pattern Matching 3.6 Pattern Matching 3.7 Scala Extractors 3.7 Scala Extractors 3.7 Scala Extractors 3.7 Scala Extractors 3.8 Scala Exception Handling 3.8 Scala Exception Handling 3 7.4 Numeric RDD...

Additional information

Prior knowledge of Apache Hadoop will be an added advantage, but not compulsory. Fundamental understanding of any programming language

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Apache Spark and Scala

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