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Installing JDK and JRE for Hadoop

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Lessons List | 50 Lesson

Apache Spark Introduction

Apache Spark Introduction

Big Data Overview

Big Data Overview

Types of Data Under Big data

Types of Data Under Big data

Big Data Technologies

Big Data Technologies

Five V s in Big Data

Five V s in Big Data

What is Hadoop

Brief History on Hadoop

Brief History on Hadoop

Hadoop Ecosystem

Hadoop Ecosystem

Introduction to Environment Setup

Introduction to Environment Setup

Installing Virtual Box Setup Machine

Installing Virtual Box Setup Machine

Installing Linux Environment

Installing Linux Environment

Installing JDK and JRE for Hadoop

Installing JDK and JRE for Hadoop

Installing Hadoop for Single Node Cluster

Installing Hadoop for Single Node Cluster

Installing Hadoop on Pseudo Distributed Mode

Installing Hadoop on Pseudo Distributed Mode

Installing Scala into Linux System

Installing Scala into Linux System

Installing Spark into Linux System

Installing Spark into Linux System

Installation of Eclipse IDE

Installation of Eclipse IDE

Install Scala Plugin for Eclipse

Install Scala Plugin for Eclipse

Spark Introduction

Spark Introduction

Spark Overview

History of Apache Spark

History of Apache Spark

Spark Ecosystem

Spark Ecosystem

Features of Apache Spark

Features of Apache Spark

Limitations of Apache Spark

Limitations of Apache Spark

Use Cases of Apache Spark

Use Cases of Apache Spark

Spark RDD Introduction

Spark RDD Introduction

RDD in Spark

Features of RDDs

Features of RDDs

RDD Operation Transformations

RDD Operation Transformations

RDD Operation Actions

RDD Operation Actions

Spark Map and FlatMap

Spark Map and FlatMap

Spark Core Programming Introduction

Spark Core Programming Introduction

Spark Commands

Spark Transformation Functions

Spark Transformation Functions

Spark Action Functions

Spark Action Functions

Spark Wordcount Example

Spark Wordcount Example

Spark SQL Introduction

Spark SQL Introduction

Spark SQL Overview

Spark SQL Overview

Spark DataFrames Datasets

Spark DataFrames Datasets

Spark SQL Advantages Disadvantages

Spark SQL Advantages Disadvantages

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RAMANA RAJENDRAN

GOOD COURSE 2025-02-10

Shubha H T

Understandable 2023-12-13

VIJAY ASHOK KARLAWAD

very informative and most valuable course 2023-09-21

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I'm so happy with the presentation of the course material 2022-05-03

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Course Description

What is Apache Spark used for? Apache Spark is an open-source, distributed processing system used for big data workloads. It utilizes in-memory caching and optimized query execution for fast queries against data of any size. Simply put, Spark is a fast and general engine for large-scale data processing.Is Apache Spark a database? Apache Spark can process data from a variety of data repositories, including the Hadoop Distributed File System (HDFS), NoSQL databases and relational data stores, such as Apache Hive. ... The Spark Core engine uses the resilient distributed data set, or RDD, as its basic data type.Is Apache Spark dying? The hype has died down for Apache Spark, but Spark is still being modded/improved, pull-forked on GitHub D-A-I-L-Y so its demand is still out there, it's just not as hyped up like it used to be in 2016. However, I'm surprised that most have not really jumped on the Flink bandwagon yet.

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