Learning Hadoop 2
4.0 (16 ratings)
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Learning Hadoop 2

A practical guide to storing, structuring, and analyzing data at scale with Hadoop
4.0 (16 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
131 students enrolled
Created by Packt Publishing
Last updated 12/2015
English
Current price: $10 Original price: $75 Discount: 87% off
5 hours left at this price!
30-Day Money-Back Guarantee
Includes:
  • 1.5 hours on-demand video
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Install and configure an Hadoop instance of your own
  • Navigate Hue, the GUI for common tasks in Hadoop
  • Import data manually, and automatically from a database
  • Perform common extract, transfer and load tasks with Pig scripts
  • Make sense of large data sets with MapReduce
  • Structure and query data effectively with Hive, Hadoop’s built-in data warehousing component
View Curriculum
Requirements
  • Familiarity with the concept of big data
  • Some experience of Linux command line
  • Some Java
Description

Low on theory, high on practice, this introduction to Hadoop delivers step-by-step guidance on setting up an instance, and working with each of the components of the Hadoop ecosystem. By the end of this course, you will be capable of implementing an Hadoop instance, storing, processing, and analyzing data with the framework.

If you’re familiar with big data concepts, but new to Hadoop, then this is the course for you. Gain confidence in executing the most useful features of Hadoop by learning from an industry leading expert.

About The Author

Randal Scott King is the Managing Partner of Brilliant Data, a consulting firm specialising in data analytics. In his 16 years of consulting, Scott has amassed an impressive list of clientele from mid-market leaders to Fortune 500 household names. Scott lives just outside Atlanta, GA, with his children.

Who is the target audience?
  • Big Data Engineers and Architects
  • Anyone wanting a practical introduction to Hadoop
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Curriculum For This Course
19 Lectures
01:30:01
+
The Hadoop Ecosystem
6 Lectures 25:47

This video will offer the overview of the course.

Preview 01:51

This video will introduce you to the basic concepts of Hadoop Distributed File System (HDFS) and Yet Another Resource Negotiator (YARN), which are the two core components of Hadoop.

Overview of HDFS and YARN
07:24

An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.

Overview of Sqoop and Flume
03:17

An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.

Overview of MapReduce
03:38

An introduction to the basic concepts of Pig, a scripting language for Hadoop.

Overview of Pig
03:04

An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.

Overview of Hive
06:33
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Installing and Configuring Hadoop
2 Lectures 08:23

Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.

Preview 02:59

Exploring the Hue, a GUI for Hadoop, to get familiar with the interface.

Exploring Hue
05:24
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Data Import and Export
3 Lectures 16:07

This video will cover how to get data into HDFS manually.

Preview 04:33

This video will explain how to get data from databases into HDFS.

Importing from Databases Using Sqoop
06:27

This video will cover how to import streaming data using the Flume tool.

Using Flume to Import Streaming Data
05:07
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Using MapReduce and Pig
4 Lectures 23:11

This video will explore how to build “Word Count” in Eclipse, then save it to a .jar and run it from MapReduce.

Preview 05:55

Coding the same word counting program, but this time in Pig.

Coding "Word Count" in Pig
02:30

This video will discuss how to use Pig to perform common Extract, Transform, and Load functions on data.

Performing Common ETL Functions in Pig
08:48

This video will explore how to use predefined code called User Defined Functions (UDFs) in Pig scripts.

Using User-defined Functions in Pig
05:58
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Using Hive
4 Lectures 16:33

Create a database in Hive.

Preview 04:57

This video will cover how to get data into Hive from a database without going to HDFS first.

Importing Data Directly from a Database
02:23

Using queries in Hive to find information.

Performing Basic Queries in Hive
06:58

A quick summary of what the viewer has learned in the entire course.

Putting It All Together
02:15
About the Instructor
Packt Publishing
4.0 Average rating
6,637 Reviews
48,786 Students
570 Courses
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Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.