Hadoop Big Data Certification - United Kingdom

Hadoop Big Data Certification Training Course Outline

Module 1: Understanding Hadoop

• What is Web Hadoop?
• Why is Hadoop Important?
• Hadoop Architecture
• Challenges of Using Hadoop

Module 2: Processing Distributed Data

• HDFS
• MapReduce
  • Architecture
  • Processing Data

Module 3: Introduction to Data Storage and Processing

• Overview
• Projects for Structured Data Storage and Processing

Module 4: Defining Hadoop Cluster Requirements

• Hadoop Cluster
• Advantages 
• Hadoop Cluster Architecture 
• Best Practices for Building Hadoop Cluster

Module 5: Configuring a Cluster

• Types of Configuration Files Drive Hadoop Configuration
• Code Example  

Module 6: Maximising HDFS Robustness

• Three Types of Failures in HDFS
• Data Disk Failure, Heartbeats, and Re-Replication
• Cluster Rebalancing
• Data Integrity
• Metadata Disk Failure
• Snapshots

Module 7: Managing Resources and Cluster Health

• Managing Resources
• Managing HDFS Cluster
• Secondary NameNode Configuration
• MapReduce Cluster Management 

Module 8: Maintaining a Cluster

• FileSystem Checks 
• HDFS Balancer Utility 
• Add New Nodes to Cluster
• Decommissioning a Node from Cluster
• Datanode Volume Failures
• Database Backups
• HDFS Metadata Backup
• Purging Older Log Files

Module 9: Extending Hadoop and Implementing Data Ingress

• Extending Hadoop Towards Data Lake

Module 10: Extending Hadoop and Implementing Data Ingress

• Hadoop Built-in Ingress and Egress Tools  

Module 11: Planning for Backup, Recovery, and Security

• Introduction to Backup and Recovery
• Goals and Objectives

Module 12: Introduction to Big Data

• What is Big Data? 
• Three V’s
• Sources of Big Data  

Module 13: Storing Big Data

• Introduction to Big Data Storage
• Key Requirements of Big Data Storage
• Big Data Storage Architectures

Module 14: Processing Big Data

• Introduction to Data Processing
• Big Data Processing Frameworks 
• What is Traditional Approach?
• MapReduce
• Hadoop and Big Data
• Distributed Storage System
• YARN
• Hadoop 1.0/Hadoop 2.0
• Advantages of Hadoop
• Hadoop Ecosystem
• Hortonworks Data Platform

Module 15: Tools and Techniques to Analyse Big Data

• Apache Hadoop
• Microsoft HDInsight
• NoSQL
• Hive
• Sqoop
• PolyBase
• Big Data in Excel
• Presto

Module 16: Developing a Big Data Strategy

• Steps to Develop a Big Data Strategy 
  • Understanding Business Objectives
  • Have a Clear Strategy for Hadoop
  • Build a Data-Driven Culture
  • Choose the Right Platform
  • Start Small

Module 17: Implementing Big Data Solution

• Steps for Implementing a Big Data Solution
  • Collect and Load Data
  • Process, Query, Transform Data
  • Consume and Visualise Data
  • Build End-To-End Solutions