Learning Hadoop 2

Course

Online

£ 15 VAT inc.

Description

  • Type

    Course

  • Methodology

    Online

  • 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. 

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

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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This centre's achievements

2021

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • Ms Word
  • Import
  • Consulting
  • Warehousing
  • Installation
  • Works
  • Server
  • Data warehousing
  • Word

Course programme

The Hadoop Ecosystem 6 lectures 25:51 The Course Overview This video will offer the overview of the course. Overview of HDFS and YARN 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.
  • 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
Overview of Sqoop and Flume An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
Overview of MapReduce An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
Overview of Pig An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
Overview of Hive An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
The Hadoop Ecosystem 6 lectures 25:51 The Course Overview This video will offer the overview of the course. Overview of HDFS and YARN 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.
  • 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
Overview of Sqoop and Flume An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
Overview of MapReduce An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
Overview of Pig An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
Overview of Hive An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
The Course Overview This video will offer the overview of the course. The Course Overview This video will offer the overview of the course. The Course Overview This video will offer the overview of the course. The Course Overview This video will offer the overview of the course. This video will offer the overview of the course. This video will offer the overview of the course. Overview of HDFS and YARN 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.
  • 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
Overview of HDFS and YARN 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.
  • 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
Overview of HDFS and YARN 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.
  • 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
Overview of HDFS and YARN 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.
  • 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
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.
  • 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
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.
  • 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
Overview of Sqoop and Flume An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
Overview of Sqoop and Flume An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
Overview of Sqoop and Flume An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
Overview of Sqoop and Flume An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
An introduction to the basic concepts of Sqoop and Flume, two tools for the automation of data import into Hadoop.
  • First, we will talk about Sqoop
  • Next, we go over Flume
Overview of MapReduce An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
Overview of MapReduce An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
Overview of MapReduce An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
Overview of MapReduce An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
An introduction to the basic concepts of MapReduce, the computation engine of Hadoop.
  • Discussing the history and concept of MapReduce
  • Let's look at the word count example
Overview of Pig An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
Overview of Pig An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
Overview of Pig An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
Overview of Pig An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
An introduction to the basic concepts of Pig, a scripting language for Hadoop.
  • Discuss what Pig is
  • Taking a look at the "word count" example
Overview of Hive An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
Overview of Hive An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
Overview of Hive An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
Overview of Hive An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
An introduction to the basic concepts of Hive, Hadoop’s data warehousing solution.
  • Cover the basic concept of Hive
  • Take a look at internal versus external tables
  • Understand how Hive works with metadata
  • Discuss about HiveQL
Installing and Configuring Hadoop 2 lectures 08:17 Downloading and Installing Hadoop Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Exploring Hue Exploring the Hue, a GUI for Hadoop, to get familiar with the interface.
  • Navigate to the Hue page
  • Explanation of the file browser and query editor dropdowns
  • Create a new user
Installing and Configuring Hadoop. 2 lectures 08:17 Downloading and Installing Hadoop Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Exploring Hue Exploring the Hue, a GUI for Hadoop, to get familiar with the interface.
  • Navigate to the Hue page
  • Explanation of the file browser and query editor dropdowns
  • Create a new user
Downloading and Installing Hadoop Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Downloading and Installing Hadoop Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Downloading and Installing Hadoop Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Downloading and Installing Hadoop Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Put a working Hadoop installation on a laptop or server. You will need Hadoop on your laptop or server in order to continue.
  • Download the Quickstart VM from Cloudera.com
  • Start the VM
Exploring Hue Exploring the Hue, a GUI for Hadoop, to get familiar with the interface.
  • Navigate to the Hue page
  • Explanation of the file browser and query editor dropdowns
  • Create a new user
Exploring Hue Exploring the Hue, a GUI for Hadoop, to get familiar with the interface unt" in Pig...

Additional information

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

Learning Hadoop 2

£ 15 VAT inc.