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    Apache Spark and Scala

    BY
    Udemy

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    Mode

    Online

    Fees

    ₹ 499 1499

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study
    Mode of Delivery Video and Text Based

    Course and certificate fees

    Fees information
    ₹ 499  ₹1,499
    certificate availability

    Yes

    certificate providing authority

    Udemy

    The syllabus

    Module 1 - Introduction to Big Data, Spark and Hadoop

    • Overview of Big Data
    • Introduction to Apache Hadoop
    • Hadoop Distributed File System
    • Hadoop Map Reduce
    • Introduction to Apache Spark
    • Characteristics of Apache Spark
    • Users and Use Cases of Apache Spark
    • Job Execution Flow and Spark Execution
    • Spark Unified Stack
    • Complete Picture of Apache Spark
    • Why Spark with Scala
    • Apache spark Architecture

    Introduction to Scala Programming Language

    • Introduction to Scala
    • Scala Basic Syntax
    • Scala Class and Objects
    • If else Statements in Scala
    • Loops in Scala

    Module 3 - Advanced Scala Programming

    • 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 4 - Apache Spark RDDs

    • Programming with RDDs
    • Starting with Spark
    • Creating RDDs
    • RDD Operations
    • Lifecycle of Spark

    Module 5 - Apache Spark RDDs-II

    • Spark Caching
    • Common Transformations and Actions
    • Spark Functions
    • Some more Spark functions

    Module 6 - Working with Key Value Pairs

    • Key Value Pairs
    • Aggregate Functions
    • Working with Aggregate Functions
    • Joins in Spark
    • Practical on Word count example

    Module 7 - Advanced Spark Programming

    • Spark Shared Variables
    • Spark and Fault Tolerance
    • Broadcast variables
    • Numeric RDD Operations
    • Per-Partition Operations

    Module 8 - Running Spark Jobs on Cluster

    • Spark Runtime Architecture
    • Spark Driver
    • Executors
    • Cluster Managers
    • Cluster Managers II

    Module 9 - Spark SQL

    • Introduction to Spark SQL
    • Starting Point-SQL Context
    • Hive with Spark SQL
    • Spark SQL Caching

    Module 10 - Spark Streaming

    • People.json, Employee.json

    Module 11 - Machine Learning in Spark

    • Machine learning with mllib
    • MLib Data Types
    • labeled point data types
    • Local Matrices in mllib
    • MLib Algorithms
    • Classification and Regression
    • Clustering

    Module 12 - GraphX in Spark

    • GraphX Introduction
    • Creating Graphs
    • Graph Operators
    • Subgraph Transformation
    • Computation with map reduce triplets

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