Learning Hadoop 2
Course
Online
Description
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Type
Course
-
Methodology
Online
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Start date
Different dates available
A practical guide to storing, structuring, and analyzing data at scale with HadoopLow 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 AuthorRandal 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.
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About this course
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
Build scripts with Pig to perform common ETL tasks
Write and run a simple MapReduce program
Structure and query data effectively with Hive, Hadoop’s built-in data warehousing component
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Subjects
- Ms Word
- Import
- Consulting
- Warehousing
- Installation
- Works
- Server
- Data warehousing
- Word
Course programme
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- First, we will talk about Sqoop
- Next, we go over Flume
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discuss what Pig is
- Taking a look at the "word count" example
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- First, we will talk about Sqoop
- Next, we go over Flume
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discuss what Pig is
- Taking a look at the "word count" example
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- HDFS is the file system that Hadoop uses
- Next, we will cover YARN, the component of Hadoop that allocates resources such as CPU time and memory to jobs submitted for completion
- First, we will talk about Sqoop
- Next, we go over Flume
- First, we will talk about Sqoop
- Next, we go over Flume
- First, we will talk about Sqoop
- Next, we go over Flume
- First, we will talk about Sqoop
- Next, we go over Flume
- First, we will talk about Sqoop
- Next, we go over Flume
- First, we will talk about Sqoop
- Next, we go over Flume
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discussing the history and concept of MapReduce
- Let's look at the word count example
- Discuss what Pig is
- Taking a look at the "word count" example
- Discuss what Pig is
- Taking a look at the "word count" example
- Discuss what Pig is
- Taking a look at the "word count" example
- Discuss what Pig is
- Taking a look at the "word count" example
- Discuss what Pig is
- Taking a look at the "word count" example
- Discuss what Pig is
- Taking a look at the "word count" example
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- Cover the basic concept of Hive
- Take a look at internal versus external tables
- Understand how Hive works with metadata
- Discuss about HiveQL
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Navigate to the Hue page
- Explanation of the file browser and query editor dropdowns
- Create a new user
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Navigate to the Hue page
- Explanation of the file browser and query editor dropdowns
- Create a new user
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Download the Quickstart VM from Cloudera.com
- Start the VM
- Navigate to the Hue page
- Explanation of the file browser and query editor dropdowns
- Create a new user
Additional information
Learning Hadoop 2