Big Data Hadoop Developer Certification

IntelliPaat

How long?

  • online
  • on demand

IntelliPaat

Disclaimer

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Full disclaimer.

Who should attend

  • Software Developers, analytics, BI, ETL, and data warehousing professionals
  • Big Data Hadoop developers, architects and testing personnel

What are the prerequisites for Hadoop Developer Training?

You don’t need prior knowledge of Apache Hadoop.

About the course

Big data Hadoop developer training by Intellipaat will master you in HDFS, MapReduce, Yarn, Hive, PIG, Oozie, Flume, etc. In this Big Data Hadoop developer online course you will work on 4 real life projects and prepare yourself for Cloudera Spark and Hadoop Developer Certification (CCA175) Exam. You will get 6 months of Intellipaat Hadoop cloudlab access with this course.

Key Features

  • Instructor Led Training : 30 Hrs
  • Self-paced Videos : 30 Hrs
  • Exercises & Project Work : 60 Hrs
  • Get Certified & Job Assistance
  • Flexible Schedule
  • Lifetime free upgrade
  • 24 x 7 Lifetime Support & Access

About Hadoop Developer Training Course

This Apache Hadoop Developer Certification Training will help you get a detailed idea about Big Data and Hadoop. Some of the topics included are introduction to the Hadoop ecosystem, understanding of HDFS and MapReduce including MapReduce abstraction. Learn to install, implement various components of Hadoop like Pig, Hive, Flume, Sqoop and YARN.

What you will learn in this Hadoop Developer Online Training Course?

  • Learn the Hadoop Architecture and Hadoop basics for beginners
  • Learn what is Hadoop, HDFS and MapReduce framework
  • Write MapReduce programs and deploy Hadoop clusters
  • Develop applications for Big Data using Hadoop Technology
  • Develop YARN programs on the Hadoop 2.X version
  • Work on Big Data analytics using Hive, Pig and YARN
  • Integrate MapReduce and HBase to do advanced usage and Indexing
  • Learn fundamentals of Spark framework and its working
  • Understand RDD in Apache Spark
  • Learn Hadoop development best practices
  • Job scheduling using Oozie
  • Prepare for the Cloudera Spark and Hadoop Developer Certification

Why should you take Online Hadoop Developer Training?

  • Global Hadoop market to reach $84.6 billion in 2 years – Allied Market Research
  • The number of jobs for all USA data professionals will increase to 2.7 million per year – IBM
  • Hadoop Developer in the US can get a salary of $100,000 – indeed.com

Hadoop is a distributed computing system that works on commodity hardware on a scale and speed that is just not possible for other database processing systems to match. Due to this there is a huge demand for Hadoop Developers who can deploy Hadoop on a massive scale. This Hadoop Developer online training equips you with the right skill sets needed to take the Professional Hadoop Developer Cloudera Certification. This Hadoop Certification training is your passport to the most sought-after jobs in the Big Data world.

Big Data Hadoop Developer Course Content

Introduction to Big Data & Hadoop and its Ecosystem, Map Reduce and HDFS

What is Big Data, Where does Hadoop fit in, Hadoop Distributed File System – Replications, Block Size, Secondary Namenode, High Availability, Understanding YARN – ResourceManager, NodeManager, Difference between 1.x and 2.x

Hadoop Installation & Setup

Hadoop 2.x Cluster Architecture , Federation and High Availability, A Typical Production Cluster setup , Hadoop Cluster Modes, Common Hadoop Shell Commands, Hadoop 2.x Configuration Files, Cloudera Single node cluster

Deep Dive in Mapreduce

How Mapreduce Works, How Reducer works, How Driver works, Combiners, Partitioners, Input Formats, Output Formats, Shuffle and Sort, Mapside Joins, Reduce Side Joins, MRUnit, Distributed Cache

Lab exercises :

Working with HDFS, Writing WordCount Program, Writing custom partitioner, Mapreduce with Combiner , Map Side Join, Reduce Side Joins, Unit Testing Mapreduce, Running Mapreduce in Local Job Runner Mode

Graph Problem Solving

What is Graph, Graph Representation, Breadth first Search Algorithm, Graph Representation of Map Reduce, How to do the Graph Algorithm, Example of Graph Map Reduce,

Exercise 1: Exercise 2:Exercise 3:

Detailed understanding of Pig

A. Introduction to Pig

Understanding Apache Pig, the features, various uses and learning to interact with Pig

B. Deploying Pig for data analysis

The syntax of Pig Latin, the various definitions, data sort and filter, data types, deploying Pig for ETL, data loading, schema viewing, field definitions, functions commonly used.

C. Pig for complex data processing

Various data types including nested and complex, processing data with Pig, grouped data iteration, practical exercise

D. Performing multi-dataset operations

Data set joining, data set splitting, various methods for data set combining, set operations, hands-on exercise

E. Extending Pig

Understanding user defined functions, performing data processing with other languages, imports and macros, using streaming and UDFs to extend Pig, practical exercises

F. Pig Jobs

Working with real data sets involving Walmart and Electronic Arts as case study

Detailed understanding of Hive

A. Hive Introduction

Understanding Hive, traditional database comparison with Hive, Pig and Hive comparison, storing data in Hive and Hive schema, Hive interaction and various use cases of Hive

B. Hive for relational data analysis

Understanding HiveQL, basic syntax, the various tables and databases, data types, data set joining, various built-in functions, deploying Hive queries on scripts, shell and Hue.

C. Data management with Hive

The various databases, creation of databases, data formats in Hive, data modeling, Hive-managed Tables, self-managed Tables, data loading, changing databases and Tables, query simplification with Views, result storing of queries, data access control, managing data with Hive, Hive Metastore and Thrift server.

D. Optimization of Hive

Learning performance of query, data indexing, partitioning and bucketing

E. Extending Hive

Deploying user defined functions for extending Hive

F. Hands on Exercises – working with large data sets and extensive querying

Deploying Hive for huge volumes of data sets and large amounts of querying

G. UDF, query optimization

Working extensively with User Defined Queries, learning how to optimize queries, various methods to do performance tuning.

(AVRO) Data Formats

Selecting a File Format, Tool Support for File Formats, Avro Schemas, Using Avro with Hive and Sqoop, Avro Schema Evolution, Compression

Introduction to Hbase architecture

What is Hbase, Where does it fits, What is NOSQL

Hadoop Cluster Setup and Running Map Reduce Jobs

Multi Node Cluster Setup using Amazon ec2 – Creating 4 node cluster setup, Running Map Reduce Jobs on Cluster

Advance Mapreduce

Delving Deeper Into The Hadoop API,More Advanced Map Reduce Programming, Joining Data Sets in Map Reduce,Graph Manipulation in Hadoop

Big Data Hadoop Developer Projects

What projects I will be working on this Big Data Hadoop Developer training?

Project Work

1. Project – Working with Map Reduce, Hive, Sqoop

Problem Statement – It describes that how to import mysql data using sqoop and querying it using hive and also describes that how to run the word count mapreduce job.

2. Project – Hadoop Yarn Project – End to End PoC

Problem Statement – It includes:

Import Movie data,Append the data,How to use sqoop commands to bring the data into the hdfs,End to End flow of transaction data,How to process the real word data or huge amount of data using map reduce program in terms of movie etc.

Big Data Hadoop Developer Certification

This course is designed for clearing the Hadoop component of the Cloudera Spark and Hadoop Developer Certification (CCA175) Exam. The entire training course content is in line with this certification program and helps you clear it with ease and get the best jobs in the top MNCs.

As part of this training you will be working on real time projects and assignments that have immense implications in the real world industry scenario thus helping you fast track your career effortlessly.

At the end of this training program there will be quizzes that perfectly reflect the type of questions asked in the respective certification exams and helps you score better marks in certification exam.

Intellipaat Course Completion Certification will be awarded on the completion of Project work (on expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.

Experts

David Callaghan

An experienced Blockchain Professional who has been bringing integrated Blockchain, particularly Hyperledger and Ethereum, and Big Data solutions to the cloud, David Callaghan has previously worked on Hadoop, AWS Cloud, Big Data and Pentaho projects that have had major impact on revenues of marqu...

Suresh Paritala

A Senior Software Architect at NextGen Healthcare who has previously worked with IBM Corporation, Suresh Paritala has worked on Big Data, Data Science, Advanced Analytics, Internet of Things and Azure, along with AI domains like Machine Learning and Deep Learning. He has successfully implemented ...

Videos and materials

Big Data Hadoop Developer Certification at IntelliPaat

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