Apache Spark and Scala

سرفصل های دوره

A complete Guide for Processing Big Data with Spark

01 - Module-1 Introduction to Big data, Hadoop and Spark

001 1.1 Overview of Big Data

002 1.2 Introduction to Apache Hadoop

003 1.3 Hadoop Distributed File System

004 1.4 Hadoop Map Reduce

005 1.5 Introduction to Apache Spark

006 1.6 Characteristics of Apache Spark

007 1.7 Users and Use Cases of Apache Spark

008 1.8 Job Execution Flow and Spark Execution

009 1.9 Spark Unified Stack

010 1.10 Complete Picture of Apache Spark

011 1.11 Why Spark with Scala

012 1.12 Apache spark Architecture

02 - Module 2 Introduction to Scala Programming Language

001 2.1 Introduction to Scala

001 2.1-Introduction-to-Scala.pptx

002 2.2 Scala Basic Syntax

002 2.2-Scala-Basic-Syntax.pptx

003 2.3 Scala Class and Objects

003 2.3-Scala-Class-and-Objects.pptx

004 2.4 If else Statements in Scala

004 2.4-If-else-Statements-in-Scala.pptx

005 2.5 Loops in Scala

005 2.5-Loops-in-Scala.pptx

03 - Module 3 Advanced Scala Programming

001 3.1 Functions and Procedures in Scala

001 3.1-Functions-and-Procedures-in-Scala.pptx

002 3.2 Access Modifiers

002 3.2-Access-Modifiers.pptx

003 3.3 Strings and Arrays

003 3.3-String-and-Arrays.pptx

004 3.4 Scala Collections

004 3.4-Scala-Collections.pptx

005 3.5 Scala Traits

005 3.5-Scala-Traits.pptx

006 3.6 Pattern Matching

006 3.6-Pattern-Matching.pptx

007 3.7 Scala Extractors

007 3.7-Scala-Extractors.pptx

008 3.8 Scala Exception Handling

008 3.8-Scala-Exception-Handling.pptx

009 3.9 Scala Files IO

009 3.9-Scala-Files-IO.pptx

04 - Module 4 Apache Spark RDDs

001 4.1 Programming with RDDs

002 4.2 Starting with Spark

002 4.2-Starting-with-spark.pptx

003 4.3 Creating RDDs

003 4.3-Creating-RDDs.pptx

004 4.4 RDD Operations

004 4.4-RDD-Operations.pptx

005 4.5 Lifecycle of Spark

005 4.5-Lifecycle-of-Spark.pptx

05 - Module 5 Apache Spark RDDs II

001 5.1 Spark Caching

001 5.1.Spark-caching.pptx

002 5.2 Common Transformations and Actions

002 5.2.Common-Transformations-and-Actions.pptx

003 5.3 Spark Functions

003 5.3-spark-Functions.pptx

004 5.4 Some more Spark functions

06 - Module 6 Working with Key-Value pairs

001 6.1 Key Value Pairs

001 6.1-Key-value-pairs.pptx

002 6.2 Aggregate Functions

002 6.2-Aggregate-Functions.pptx

003 6.3 Working with Aggregate Functions

004 6.3-Joins-in-Spark.pptx

004 6.4 Joins in Spark

005 6.4-Practical-on-Word-count-example.pptx

005 6.5 Practical on Word count example

07 - Module 7 Advanced Spark Programming

001 7.1 Spark Shared Variables

001 7.1-Spark-shared-variables.pptx

002 7.2 Spark and Fault Tolerance

002 7.2-Spark-and-fault-tolerance.pptx

003 7.3 Broadcast variables

003 7.3-Broadcast-variables.pptx

004 7.4 Numeric RDD Operations

004 7.4-Numeric-RDD-Operations.pptx

005 7.5 Per-Partition Operations

005 7.5-Per-Partition-Operations.pptx

08 - Module 8 Running Spark jobs on Cluster

001 8.1 Spark Runtime Architecture

001 8.1-Spark-Runtime-Architecture.pptx

002 8.2 Spark Driver

002 8.2-Spark-Driver.pptx

003 8.3 Executors

003 8.3-Executors.pptx

004 8.4 Cluster Managers

004 8.4-Cluster-Managers.pptx

005 8.5 Cluster Managers II

005 8.5-Cluster-Managers-II.pptx

09 - Module 9 Spark SQL

001 9.1 Introduction to Spark SQL

001 9.1-Introduction-to-Spark-SQL.pptx

002 9.2 Starting Point-SQL Context

002 9.2-Starting-Point-SQL-Context.pptx

003 9.3 Hive with Spark SQL

003 9.4-Hive-with-spark-SQL.pptx

004 9.4 Spark SQL Caching

004 9.5-Spark-SQL-caching.pptx

10 - Module 10 Spark Streaming

001 People.json, Employee.json.html

external-links.zip

11 - Module 11 Machine Learning in Spark

001 11.1 machine learning with mllib

002 11.2 MLib Data Types

003 11.3 labeled point data types

004 11.4 Local Matrices in mllib

005 11.5 MLib Algorithms

006 11.6 Classification and Regression

007 11.7 Clustering

12 - Module 12 GraphX in Spark

001 12.1 GraphX Introduction

002 12.2 Creating Graphs

003 12.3 Graph Operators

004 12.4 Subgraph Transformation

005 12.5 Computation with map reduce triplets

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تولید کننده: Udemy-Training