Hadoop Fundamentals (Dec 2022)

Hadoop Fundamentals (Dec 2022), available at $49.99, has an average rating of 4.3, with 15 lectures, 7 quizzes, based on 10 reviews, and has 191 subscribers.

You will learn about Working with Cloudera Based Hadoop Ecosystem Executing various HDFS Commands Know the HDFS Architecture Importing and Exporting Data to and from HDFS using SQOOP Get to know about Map Reduce (MR) Creating Hive Tables and Executing Hive Query using Hue UI Running Impala Queries using Impala-Shell Creating and Executing Pig Scripts to Perform ETL Creating and Executing OOZIE workflow for SQOOP Action This course is ideal for individuals who are Data Base and Data Warehouse Developers or Big Data Developers or Data Analysts or Any technical personnel who are interested learning and Exploring the features of Bigdata and Tools It is particularly useful for Data Base and Data Warehouse Developers or Big Data Developers or Data Analysts or Any technical personnel who are interested learning and Exploring the features of Bigdata and Tools.

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Summary

Title: Hadoop Fundamentals (Dec 2022)

Price: $49.99

Average Rating: 4.3

Number of Lectures: 15

Number of Quizzes: 7

Number of Published Lectures: 15

Number of Published Quizzes: 7

Number of Curriculum Items: 22

Number of Published Curriculum Objects: 22

Original Price: ₹3,299

Quality Status: approved

Status: Live

What You Will Learn

Working with Cloudera Based Hadoop Ecosystem
Executing various HDFS Commands
Know the HDFS Architecture
Importing and Exporting Data to and from HDFS using SQOOP
Get to know about Map Reduce (MR)
Creating Hive Tables and Executing Hive Query using Hue UI
Running Impala Queries using Impala-Shell
Creating and Executing Pig Scripts to Perform ETL
Creating and Executing OOZIE workflow for SQOOP Action

Who Should Attend

Data Base and Data Warehouse Developers
Big Data Developers
Data Analysts
Any technical personnel who are interested learning and Exploring the features of Bigdata and Tools

Target Audiences

Data Base and Data Warehouse Developers
Big Data Developers
Data Analysts
Any technical personnel who are interested learning and Exploring the features of Bigdata and Tools

Hadoop is an open source framework that is used to efficiently store and process large datasets ranging in size from gigabytes to petabytes of data. It has a software library which is a framework that allows distributed processing of large data sets across clusters of computing devices using simple programming models.

Cloudera Hadoop (CDH) the most popular Open Source Hadoop distribution. It includes all the leading Hadoop ecosystem components to store, process, discover, model, and serve unlimited data, and it’s engineered to meet the enterprise standards for stability and reliability.

In this Course, you work on Cloudera Hadoop (CDH) distribution. You will Explore the HDFS Architecture, Learn about the Components and Tools of CDH. Also you perform Data Processing using Map Reduce, Import and Export Data using SQOOP, Create and Execute Pig Scripts and Learn how to Create and Execute Oozie Workflows on CDH.

You will get to know about Map Reduce(MR), to create Hive Tables and Execute Hive Query using Hue UI, to run Impala the Queries using Impala-Shell, to create and Execute Pig Scripts to Perform ETL, work with Cloudera Based Hadoop Ecosystem.

You will learn about to execute various HDFS Commands, HDFS Architecture.

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Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Introduction to BigData

Lecture 1: Lesson 1: Introduction to BigData – Hadoop

Lecture 2: Practice 1-1: Exploring the Environment

Chapter 3: Architecture of HDFS

Lecture 1: Lesson 2: Understanding the HDFS Architecture

Lecture 2: Practice 2-1: HDFS shell commands to Manage HDFS

Chapter 4: Map Reduce (MR)

Lecture 1: Lesson 3: Introduction to Map Reduce (MR)

Chapter 5: Understanding SQOOP

Lecture 1: Lesson 4: Getting Started with SQOOP

Lecture 2: Practice 4-1: Importing the data from RDBMS to HDFS and from RDBMS to Hive

Lecture 3: Practice 4-2: Exporting the data from HDFS to RDBMS and from HIVE to RDBMS

Chapter 6: Hive and Impala

Lecture 1: Lesson 5: Introduction to Hive and Impala

Lecture 2: Practice 5-1: Working with Hive and Impala Queries

Chapter 7: Understanding Pig

Lecture 1: Lesson 6: Getting Started with Pig

Lecture 2: Practice 6-1: Developing scripts using Pig Latin

Chapter 8: Introduction to Oozie

Lecture 1: Lesson 7: Introduction to Oozie

Lecture 2: Practice 7-1: Creating the OOZIE Workflow for different Actions

Instructors

Proton Expert Systems & Solutions
Proton Expert Systems & Solutions

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2 stars: 2 votes
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4 stars: 3 votes
5 stars: 5 votes

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