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Description

Ever curious what the term Big Data is? What's Hadoop and what's up with the Elephant? This course is for anyone who wants a clear structured introduction to the world of Big Data and Hadoop which has been labelled as the next generation platform for data processing because of its low cost and ultimate scalable data processing capabilities. 


Who's it for?


This course is for anyone who works with data analytics; including developers, analysts, marketers, or anyone generally interested in the topic.


What will I learn?


This course starts out by giving you the history of Big Data and why we need Big Data analysis in today's data driven world.  We then go into the history of Hadoop, how it was conceived, and the technology behind it. 


The latter half of this course will go into the top Hadoop Distributors. These are the companies taking the open source framework of hadoop and creating innovative products and solutions to meet the demands for Big Data technology. The companies covered are Amazon, Cloudera, HDInsight, MapR and Hortonworks.
Who this course is for:
Anyone interested in a foundational understanding of Big Data & Hadoop

What you'll learn

Understand what Big Data is and its history

The need for Big Data in today's information world

Fundamentals of Hadoop

Apache

The most popular Hadoop Distriubters inlcuidng Amazon EMR, Cloudera, HDInsight, MapR, and Hortonworks

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Hadoop Fundamentals
15
1.1-Introduction to Hadoop Part 1
1.2-Introduction to Hadoop Part 2
1.3-Hadoop History and Background Part 1
1.4-Hadoop History and Background Part 2
1.5-What Makes Hadoop Special Part 1
1.6-What Makes Hadoop Special Part 2
1.7-Hadoop Ecosystem Part 1
1.8-Hadoop Ecosystem Part 2
1.9-Hadoop Ecosystem Part 3
1.10-Versions in Hadoop Part 1
1.11-Versions in Hadoop Part 2
1.12-Popular Hadoop Distributions Part 1
1.13-Popular Hadoop Distributions Part 2
1.14-Popular Hadoop Distributions Part 3
1.15-Popular Hadoop Distributions Part 4
2-Understanding Big Data
11
2.1-Understanding Big Data
2.2-Big Data Facts
2.3-Big Data Examples and Scenarios
2.4-Introduction to Hadoop
2.5-How to Identify Data using the 3 V’s Part 1
2.6-How to Identify Data using the 3 V’s Part 2
2.7-Traditional Databases and Hadoop Part 1
2.8-Traditional Databases and Hadoop Part 2
2.9-Challenged in Today’s RDBMS Landscape Part 1
2.10-Challenged in Today’s RDBMS Landscape Part 2
2.11-Challenged in Today’s RDBMS Landscape Part 3
3-Apache Hadoop
5
3.1-Apache History
3.2-Apache Architecture
3.3-Hadoop Core Elements
3.4-Cluster Setup
3.5-YARN
4-Hadoop Distribution Amazon EMR
8
4.1-Introduction and History Part 1
4.2-Introduction and History Part 2
4.3-EMR Architecture
4.4-Amazon Kinesis
4.5-DynamoDB
4.6-Amazon Redshift
4.7-Cloud Storage Part 1
4.8-Cloud Storage Part 2
5-Hadoop Distribution - Cloudera
7
5.1-Cloudera History
5.2-CDH and Beyond Part 1
5.3-CDH and Beyond Part 2
5.4-CDH and Beyond Part 3
5.5-Cloudera Express
5.6-Cloudera Enterprise
5.7-Cloudera Director
6-Hadoop Distribution - HDInsight
5
6.1-HDInsight
6.2-What is HBase
6.3-Storm
6.4-Polybase
6.5-Spark
7-Hadoop Distribution - MapR
5
7.1-Introduction and History
7.2-MapR Distributions
7.3-MapR-DB In-Hadoop NoSQL
7.4-Security and Data Governance
7.5-MapR Add-ons
8-Hadoop Distribution - Hortonworks
8
8.1-History of Hortonworks
8.2-HDP
8.3-HDFS and YARN Part 1
8.4-HDFS and YARN Part 2
8.5-Load and Manage Data According to Policy
8.6-Authentication
8.7-In the Cloud Part 1
8.8-In the Cloud Part 2