AADS Education is a globally recognized and accredited training organization. The objective of this training program is to convert a layman into Big Data Hadoop Development Professional. During the course you will learn from basic to advance concepts of Big Data Hadoop Development.

  • 40 hrs of Extensive training on Hadoop Development
  • End of each session assignment on Technical aspects will be provided along with Interview Questions
  • This training covers Apache hadoop, Cloudera distribution, Horton Work developer platform distribution (HDP)
  • We will provide proof of concept (POC) on the topics covered
  • During Hadoop development training you will learn 20% of Hadoop Administration
  • On completion of every module, we will provide assignments on topics covered
  • Will have practical session and LAB during the training
  • Discussions on real-time scenarios, Course completion certificate
  • By completing our training program you will be able to clear Cloudera / Horton Works certification
  • Trainer having 20+ years of IT Experience with multiple domain exposure and 7+ years in Hadoop
  • Trainer will provide guidelines and support to setup required software on your own system for practice purpose
  • Softcopy Course material will be provided (no additional charges)
100% Money back Guarantee

In case if you are not happy with the trainer, report us within 3 hours of the start of the classes / sessions, we will refund your fee completely, no questions asked.

AADS Education is a globally recognized and accredited training organization. The objective of this training program is to convert a layman into Big Data Hadoop Development Professional. During the course you will learn from basic to advance concepts of Big Data Hadoop Development.

  • 40 hrs of Extensive training on Hadoop Development
  • End of each session assignment on Technical aspects will be provided along with Interview Questions
  • This training covers Apache hadoop, Cloudera distribution, Horton Work developer platform distribution (HDP)
  • We will provide proof of concept (POC) on the topics covered
  • During Hadoop development training you will learn 20% of Hadoop Administration
  • On completion of every module, we will provide assignments on topics covered
  • Will have practical session and LAB during the training
  • Discussions on real-time scenarios, Course completion certificate
  • By completing our training program you will be able to clear Cloudera / Horton Works certification
  • Trainer having 20+ years of IT Experience with multiple domain exposure and 7+ years in Hadoop
  • Trainer will provide guidelines and support to setup required software on your own system for practice purpose
  • Softcopy Course material will be provided (no additional charges)
Get 30% off !!! on Big Data Hadoop Training Fee

  • Most of the organizations generates humongous amount of data every day, Big data has become a front-end for storing the organization's large amount of data in the IT Sector. You can optimize the services by successful launching of the Hadoop product in the organization.
  • AADS Education aids to start the career in Hadoop Development course through proficiency training from one of the world's best Industry Experts across the world having experience in emerging technologies.
  • AADS Education helps you in understanding Hadoop Development course as a part of IT strategy and also explain as how organizations can gain business advantage in a competitive scenarios.

Who Should Attend Hadoop Development Training ?

  • There is no strict prerequisite to start learning Hadoop. Candidates should be familiar with programming principles, should have basic Java and Linux commands knowledge is enough (but not mandatory) for a professional who is willing to shift his career gradually to Big Data. No prior Hadoop knowledge is required. Ideal for Software Developers, ETL Admins, System Administrators, Analysts, Freshers can easily jump their career into Hadoop / Big Data
  • As a programmer if you want to know and go in depth of the architectural APIs, Core Java is the recommended programming language that will help you to grasp the technology in a better and more efficient way.
  • People who have the knowledge of data warehousing gets a plus point here. Managing large amount of data and playing around the same with its volume, velocity variety and complexity is the work of a Big Data Scientist.
  • Apart from Data warehousing background, People having experience with Machine learning, Theory of Computation, and Sentiment Analysis are contributing a lot in this World.

Benefits of Learning Hadoop Development Training

  • Get Paid Higher Than What Your Earning Now Hadoop developers on average get paid 30% more. Hadoop job market is expected to grow 25 time by 2020.
  • Better Career Opportunities: The requirement for processing zettabytes of unstructured big data is generating demand for professionals with Hadoop skills to work with unstructured data. Career opportunities for Hadoop professionals are emerging across various business industries, from financial firms to retailers, healthcare, agriculture, sports, energy, utility and media.
  • During Internal Job Postings, Hadoop Skills helps you move up the ladder and accelerates your career in existing organization.
  • Within three to five years, half of the world’s data will be processed on Hadoop……there will be huge demand for thousands and thousands of individuals who are trained in Hadoop" Said By : Bob Mahan (Senior Director of Worldwide Field Services).
  • Large companies who are hiring Hadoop Developers are Cisco, HP, Tata, LinkedIn, Oracle, ebay, IBM, Amazon, Google, Microsoft, Yahoo and many more.
  • Course Objectives

    The objective of this training program is to convert a layman into Big Data Hadoop Professional. During the course you will learn from basic to advance concepts of Big Data Hadoop. Single node cluster setup, multi-node cluster setup, HDFS, run job in MapReduce framework, Eco systems of Big Data Hadoop like HIVE, PIG, Sqoop, Flume. Full understanding on NOSQL databases like (HBase). Your skill will be developed for delivering

    • Management of data using FLUME
    • Automated mechanism to copy files into HDFS using sqoop.
    • Import/ Export data from MySQL
    • Extracting & Ingestion data techniques
  • Course Outline

    Big Data Overview

    • What is Big Data
    • What comes under Big Data
    • 3 V's of Big Data
    • Sources of Big Data
    • Benefits of Big Data

    Hadoop Architecture 1.x - End to End

    • What is Hadoop
    • Features of Hadoop
    • Hadoop Core Components
    • Hadoop History
    • Hadoop Eco System
    • Hadoop Distributed File System
    • Hadoop Master and Slave Services
    • Namenode
    • Secondary Namenode
    • Datanode
    • Job Tracker
    • Task Tracker
    • Edit Logs
    • Fs-Image
    • HDFS Blocks
    • Block Reports
    • Installation Modes
    • Standalone or local Mode
    • Pseudo-distributed Mode or Single Node Cluster
    • Fully distributed Mode
    • Rack Awareness and Fault Tolerance
    • File Write Operations in HDFS
    • File Read Operations in HDFS
    • Live Horizontal scaling and rebalancing
    • HDFS Federation
    • Zookeeper
    • Topology Awareness

    Map Reduce 1.x Flow - End to End

    • Input Splits
    • Record Reader
    • Distributed Cache
    • Key Value Pair's
    • Map Phase
    • Reduce Phase
    • Shuffle & Sort Phase
    • File Input Formats
    • TextInputFormat
    • KeyValue TextInputFormat
    • SequenceFile InputFormat
    • SequenceFileAs TextInputFormat
    • Hadoop Box Classes
    • IntWritable
    • LongWritable
    • FloatWritable
    • DoubleWritable
    • Text
    • Hadoop Configuration
    • core-site.xml
    • hdfs-site.xml
    • mapred-site.xml

    Hadoop Administration

    • Hadoop Installation
    • Downloading Hadoop software
    • Installing Java, SSH
    • Setup Hadoop Configuration Files
    • Formatting Namenode
    • Starting mapred and hdfs services
    • Editing .bashrc
    • Configuring home directory
    • Understanding HDFS Commands
    • Making Directories
    • Listing HDFS File systems
    • Copying, Moving files, directories etc
    • Namenode File system Consoles
    • Datanode, Job & Task Tracker Consoles
    • HDFS SafeMode edit & Commands
    • Starting and shutting down HDFS clusters
    • dfsadmin
    • fsck
    • Namenode rollback
    • Decommissioning datanodes process

    Map Reduce

    • Wordcount Application in Stand Alone Mode
    • Eclipse Java Project
    • Importing .jar files
    • Understanding methods
    • Main class
    • Setting up Driver code, configuration objects
    • Setting up mapper code & map method
    • Setting up reducer code & reduce method
    • Context Class
    • Wordcount Application in Pseudo Distributed Mode
    • Execution process
    • Mapper and reducer outputs
    • MapOutputKeyClass, MapOutputValueClass
    • SetOutputKeyClass, setOutputValueClass
    • NumReduceTasks
    • Wordcount Application with FIFO Scheduler
    • Execution process
    • Datanode RAM slots
    • Mapred.tasktracker.map.tasks.maximum
    • Running jobs parallely.
    • Administer Namenode
    • Map only Programs - Count of Words
    • Understanding methods
    • Main class
    • Driver code, configuration objects
    • Mapper code & map method
    • Reducer code & reduce method
    • Context Class
    • Map & Reduce - Getting highest salaries across genders
    • Map & Reduce - WordCount per Page
    • Setup Method
    • Map & Reduce - Customizing File Input Format
    • Customizing TextInputFormat
    • Customizing RecordReader
    • Understanding Methods
    • Execution Process

    Advanced Map Reduce

    • Map & Reduce - Combiners
    • Combiner class
    • Map & Reduce - Partitioners
    • Using Python Language
    • Executing WordCount

    Streaming in Hadoop

    • Hadoop Streaming class
    • Providing mapper & reducer classes
    • Hadoop Streaming JAR
    • Streaming using python

    PIG

    • Pig Architecture
    • Pig Latin
    • PIG and Map Reduce Differentiation
    • Pig Data Model
    • Atoms, Tuple, Bag etc
    • Pig Commands
    • Load, Store, foreach, group, join etc
    • Diagnostic Operators
    • How PIG works
    • Execution Mode
    • Local, MR Mode
    • Grunt Shell
    • Functions in PIG
    • Extracting User ID's for a Data File
    • Examining Delimited Files
    • Understanding PigStorage
    • Specifying Schema
    • WordCount using PIG
    • Analyzing Movie Rating Data File
    • Assessing Maximum Temperature per year
    • Telecom Subscriber Data Usage

    Advanced PIG

    • JOIN's in PIG - LAB
    • PIG UDF's (User Defined Functions)
    • Using Upper Case Function
    • Using Max Temperature Function etc

    HIVE

    • What is HIVE
    • Features of HIVE
    • HIVE Architecture
    • HQL
    • Metastores
    • Embedded Metastore
    • Local Metastore
    • Remote Metastore
    • Configuring HIVE Metastore in MySql
    • Hive-site.xml
    • Setting up Connection URL
    • Understanding mysql, hive metastore structures
    • Setting up .hiverc
    • HIVE table map to a file in HDFS
    • HIVE table and map local file linux system
    • Managed Tables of HIVE
    • Overwriting Options
    • Loading data into HIVE Warehouse
    • DataTypes in HIVE (Primitive, Complex, Nested)
    • External Tables in HIVE
    • Manual Partitions in HIVE
    • Dynamic Partitions in HIVE
    • Bucketizing in HIVE

    Advanced HIVE

    • Creating UDTF
    • Working with Hive RC Format
    • MapSide join in Hive
    • Hive Scripts
    • Compressions in Hive

    SQOOP

    • Sqoop Architecture
    • Importing Data inot HDFS
    • Incremental Imports
    • Optimization of Sqoop Jobs
    • Setting up mysql DB for sqoop jobs
    • SQOOP Import using multiple mappers
    • SQOOP Import to specific HDFS directories
    • SQOOP Import via conditions, Where clause
    • SQOOP Importing All tables from an RDBMS

    Advanced SQOOP

    • Incremental Append Import to HDFS
    • Advanced Import - Sequence file format or an Avro file formats in HDFS
    • SQOOP Export - RDBMS
    • SQOOP Jobs
    • Creating & Setting up of SQOOP Jobs (--list, --exec,--show,--Incremental Import Jobs)

    FLUME

    • Getting Twitter Data for Analysis
    • Sentimental Analysis
    • Working with WebServer Logs using Flume
    • Getting Twitter Data for Analysis
    • Sentimental Analysis
    • Working with WebServer Logs using Flume

    INTEGRATION - PIG, HIVE, HBASE..

    • HCATALOG Universal Schema
    • HCatLoader()
    • Integrating Hive with Pig
    • Accessing HBASE table using Hive
    • Storage Handler
    • PIG Storage to HBASE
    • HBaseStorage

    Oozie

About the Trainers

  • 20+ years of experience (13 years of working experience in IT industry and 7 years in Hadoop and ITIL trainings)
  • Corporate Trainer, Clientel includes Bank Of America, IBM, Astra Zeneca, ANZ Bank, Oracle etc
  • Trainer having 7+ Years training experience and 9 years worked with GE
  • Trainer apart from Hadoop / Big Data also imparts sessions on Oracle Data Integrator, Cognos, Actuate.
  • IT Governance & Risk : Implementation of IT governance / Information Security Policies of GE Corporate, Ensuring Security controls implementation for GE Money, Contributed for ISO 27001 Audit and Compliance
  • Business Continuity: Business Impact Assessment and Business Resumption/Disaster Recovery, Reporting BCP Metrics and ensure compliance

Feedback from our Participants

testimonial-thumb-1

Mohammad Salman Khan
Hyderabad, Big Data Hadoop Development

It was a good experience with the Trainer and AADS Education. The Trainer was really well with the subject, clarifying with the doubts. This training helped me for my career growth.

testimonial-thumb-1

Tapan Kumar Swain
Hyderabad, Big Data Hadoop Development

The trainer was very awesome and very helpful,understand the process and learning

testimonial-thumb-1

C.V Bharini
Hyderabad, Big Data Hadoop Development

The trainer and the material provided are very good.

Why Aads Education ?

  • Excellent Customer and after sales support
  • Global Experience of 16 years in the field of Education, IT, Management Services and Media
  • Collaboration with Global Giants in the field of Education
  • Award Winning Training organization
  • We operate in multiple countries
  • We offer both Online and Classroom trainings
  • We constantly upgrade our courseware, staff, facilities, trainers and we follow the latest trends of the market so that we can offer you the best and latest
  • We assist our participant in placements through our HR consultants and have tie up with large organization
  • Our Professional trainers and mentors are industry experts
  • Our ultimate goal through the training programs is to build high value and high end professionalism in every individual

Professionals participated from

Course Outline

  • Big Data Overview
  • Hadoop Architecture 1.x - End to End
  • Map Reduce 1.x Flow - End to End
  • Hadoop Administration
  • Map Reduce
  • Advanced Map Reduce
  • Streaming in Hadoop
  • PIG, Advanced PIG, HIVE, Advanced HIVE, SQOOP, Advanced SQOOP
  • FLUME, INTEGRATION - PIG, HIVE, HBASE.., Oozie
About the Trainers
  • 20+ years of experience (13 years of working experience in IT industry and 7 years in Hadoop and ITIL trainings)
  • Corporate Trainer, Clientel includes Bank Of America, IBM, Astra Zeneca, ANZ Bank, Oracle etc
  • Trainer having 7+ Years training experience and 9 years worked with GE
  • Trainer apart from Hadoop / Big Data also imparts sessions on Oracle Data Integrator, Cognos, Actuate.
  • IT Governance & Risk : Implementation of IT governance / Information Security Policies of GE Corporate, Ensuring Security controls implementation for GE Money, Contributed for ISO 27001 Audit and Compliance
  • Business Continuity: Business Impact Assessment and Business Resumption/Disaster Recovery, Reporting BCP Metrics and ensure compliance

Professionals Participated from

Who Should Attend?
  • There is no strict prerequisite to start learning Hadoop. Candidates should be familiar with programming principles, should have basic Java and Linux commands knowledge is enough (but not mandatory) for a professional who is willing to shift his career gradually to Big Data. No prior Hadoop knowledge is required. Ideal for Software Developers, ETL Admins, System Administrators, Analysts, Freshers can easily jump their career into Hadoop / Big Data
  • As a programmer if you want to know and go in depth of the architectural APIs, Core Java is the recommended programming language that will help you to grasp the technology in a better and more efficient way.
  • People who have the knowledge of data warehousing gets a plus point here. Managing large amount of data and playing around the same with its volume, velocity variety and complexity is the work of a Big Data Scientist.
  • Apart from Data warehousing background, People having experience with Machine learning, Theory of Computation, and Sentiment Analysis are contributing a lot in this World.
Benefits of learning Hadoop Development
  • Get Paid Higher Than What Your Earning Now Hadoop developers on average get paid 30% more. Hadoop job market is expected to grow 25 time by 2020.
  • Better Career Opportunities: The requirement for processing zettabytes of unstructured big data is generating demand for professionals with Hadoop skills to work with unstructured data. Career opportunities for Hadoop professionals are emerging across various business industries, from financial firms to retailers, healthcare, agriculture, sports, energy, utility and media.
  • During Internal Job Postings, Hadoop Skills helps you move up the ladder and accelerates your career in existing organization.
  • Within three to five years, half of the world’s data will be processed on Hadoop……there will be huge demand for thousands and thousands of individuals who are trained in Hadoop" Said By : Bob Mahan (Senior Director of Worldwide Field Services).
  • Large companies who are hiring Hadoop Developers are Cisco, HP, Tata, LinkedIn, Oracle, ebay, IBM, Amazon, Google, Microsoft, Yahoo and many more.
Why Aads Education ?
  • Excellent Customer and after sales support
  • Global Experience of 16 years in the field of Education, IT, Management Services and Media
  • Collaboration with Global Giants in the field of Education
  • Award Winning Training organization
  • We operate in multiple countries
  • We offer both Online and Classroom trainings
  • We constantly upgrade our courseware, staff, facilities,trainers and we follow the latest trends of the market so that we can offer you the best and latest
  • We assist our participant in placements through our HR consultants and have tie up with large organization
  • Our Professional trainers and mentors are industry experts
  • Our ultimate goal through the training programs is to build high value and high end professionalism in every individual
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