Certified Big Data Hadoop Developer

Course details

Why should I take this certification?
Big data analysis is a trending & highly valuable skill, and it is the fastest growing technology in the world. This certification will take you from the basic level to the advanced level of Big Data Hadoop & help you become a successful Hadoop Developer, Administrator, Data Scientist Professional etc in the field of Big Data. It will teach you to apply Big Data Hadoop techniques to solve interesting real-world data related challenges. This course will cover extensive data science projects & the techniques of data acquisition, transformation and predictive analytics to solve real world problems. The certification tests the candidates on various areas in Big Data and Apache Hadoop.

Knowledge of object -oriented programming and Java programming language is pre-requisite for the certification.

How will I benefit from this certification?
The course is designed for professionals aspiring to make a career in Big Data and Hadoop Framework. Students, Software Professionals, Analytics Professionals, ETL developers, Project Managers, Architects, and Testing Professionals are the key beneficiaries of this course. Other professionals who are looking forward to acquire a solid foundation on Big Data Industry can also opt for this ;

Table of Contents

1. Big Data
Big Data Definition
Big Data Types
Big Data Source
Big Data Challenges
Big Data Benefits
Big Data Applications
Netflix Application

2. Apache Hadoop
Introduction
Advantages & Disadvantages
History of Hadoop Project
Need for Hadoop
Hadoop Architecture
RDBMS vs Hadoop
Vendor Comparison
Hardware Recommendations
Hadoop Installation

3. HDFS
Basics (Blocks, Namenodes and Datanodes)
HDFS Architecture
Data Read and Write Process
HDFS Permissions
Data Replication
HDFS Accessibility
HDFS Filesystem Operations
HDFS Interfaces
Heartbeats
Rack Awareness
distcp

4. MapReduce
MapReduce Basics
MapReduce Work Flow
MapReduce Framework
Hadoop Data Types
MapReduce Internals
Job Formats
Debugging and Profiling
Distributed Cache
Combiner Functions
Streaming
Counters, Sorting and Joins

5. YARN
YARN Infrastructure
ResourceManager
ApplicationMaster
NodeManager
Container

6. Pig
Pig Architecture
Installation and Modes
Grunt and Pig Script
Pig Latin Commands
UDF and Data Processing Operator

7. HBase
HBase Architecture
HBase Installation
HBase Configuration
HBase Schema Design
HBase Commands
MapReduce Integration
HBase Security

8. Sqoop and Flume
Sqoop
Flume

9. Hive
Hive Architecture
Hive shell
Hive Data types
HiveQL

10. Workflow
Apache Oozie

11. Hadoop Cluster Management
Cluster Planning
Installation and Configuration
Testing
Benchmarking
Monitoring

12. Administration
dfsadmin, fsck and balancer
Logging
Data Backup
Add and removal of nodes

13. Security
Authentication
Data Confidentiality
Configuration

14. NextGen Hadoop
HDFS HA
HDFS Federation
  Updated on 01 February, 2019