Hadoop Training | Big Data Hadoop Certification
Details
An online Hadoop tutorial designed by Hadoop experts provide you the knowledge and skills in the field of Big Data and Hadoop and train you to become a successful Hadoop Developer. ZaranTech’s Big Data Hadoop online training is the first of its kind providing the best-in-class online Hadoop tutorial and is ideal for all aspiring professionals who wants to make their career in Big Data Analytics using Hadoop Framework and master all the concepts. Towards the end of the Hadoop course, you will be working on assignments, live case studies, Hadoop interview questions and Big Data Hadoop Certification sample test.
What makes your course unique?
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Role-specific training instead of Product-based training – We are the leaders in providing Role-Specific training and e-learning solutions for individuals and corporations.
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Longer Course Duration – We provide students with more detailed training with Assignments based on the real-time scenarios.
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We offer Training Blogs using Google Site – The Training Blogs are a common platform for both the trainer as well as the trainees to interact with, discuss queries with the trainers, upload assignments and referring assignments.
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We provide study materials using Google Drive –We provide access to a Repository of materials for training using Google Drive Cloud.
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Never miss a session – We video record every online training sessions and post the Video recording on the training Blog after the session.
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Highly Qualified and Well Experienced Trainers – Our Trainers are highly qualified and are well experienced in their respective domains. We have trainers from USA, Canada, Australia, Singapore and many other countries.
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Certification Assistance – During and at the end of training, the Sr. trainer will provide Certification questions and answers to help you clear the Certification.
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Career Counseling – If you are New to IT and want career counseling to help you decide which stream to go into, please click the link,http://www.zarantech.com/free-career-counseling/ and fill out the Career Counseling form and one of our counselors will get in touch.
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Placement Assistance – Our “After the training” team can also help you with Resume preparation guidance, Interviews questions and Mock interviews after your training is complete.
Training Materials: All attendees will receive,
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Assignments, Quizzes and Video Recordings of every Session
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Instructor Student Guide
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Real time POC
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Access to the Training Blog & Repository of Materials through Google Drive Cloud.
Who Should Join the Training?Pre-Requisites:
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This course is designed for anyone who is:
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Wanting to architect a project using Hadoop and its Eco System components.
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Wanting to develop Map Reduce programs
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A Business Analyst or Data Warehousing person looking at alternative approach to data analysis and storage.
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The participants should have at least basic knowledge of Java.
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Any experience of Linux environment will be very helpful.
Course Package :
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20 Instructor-Led live class
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20 Video Recordings
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All Powerpoint Presentation
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10-14 Assignments and Quizzes
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Student Guide and Instructor Guide
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Big Data Hadoop Developer Certification materials and Certification Dumps
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Project Based POC
Outline
Modules
Content
Module -1
Introduction and Overview of Hadoop
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What is Hadoop?
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History of Hadoop.
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Building Blocks – Hadoop Eco-System.
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Who is behind Hadoop?
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What Hadoop is good for and what it is not?
Module -2
Hadoop Distributed FileSystem (HDFS)
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HDFS Overview and Architecture
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HDFS Installation
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HDFS Use Cases
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Hadoop FileSystem Shell
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FileSystem Java API
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Hadoop Configuration
Module -3
HBase – The Hadoop Database
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HBase Overview and Architecture
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HBase Installation
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HBase Shell
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Java Client API
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Java Administrative API
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Filters
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Scan Caching and Batching
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Key Design
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Table Design
Module -4
Testing types – Dynamic testing
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White box and Black box Testing, Gray Box Testing.
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Unit Testing, Integration Testing
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System Testing Techniques
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Usability Testing, Functional Testing and Non Functional testing.
Module -5
Map/Reduce 2.0/YARN
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MapReduce 2.0 and YARN Overview
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MapReduce 2.0 and YARN Architecture
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Installation
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YARN and MapReduce Command Line Tools
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Developing MapReduce Jobs
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Input and Output Formats
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HDFS and HBase as Source and Sink
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Job Configuration
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Job Submission and Monitoring
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Anatomy of Mappers, Reducers, Combiners and Partitioners/li>
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Anatomy of Job Execution on YARN
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Distributed Cache
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Hadoop Streaming
Module -6
MapReduce Workflows
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Decomposing Problems into MapReduce Workflow
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Using Job Control
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Oozie Introduction and Architecture
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Oozie Installation
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Developing, deploying, and Executing Oozie Workflows
Module -7
Pig
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Pig Overview
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Installation
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Pig Latin
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Developing Pig Scripts
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Processing Big Data with Pig
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Joining data-sets with Pig
Module -8
Bug/Defect/Error
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What is Bug?
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Difference between Bug and Defect.
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Format of Bug.
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Priority and Severity
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Different status of bug in Bug life cycle.
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Bug Reporting tools JIRA/Bugzilla/Quality Center
Module -9
Hive
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Hive Overview
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Installation
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Hive QL
Module -10
Integrating Hadoop into the Workflow
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Relational Database Management Systems
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Storage Systems
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Importing Data from RDBMSs With Sqoop
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Hands-on exercise
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Importing Real-Time Data with Flume
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Accessing HDFS Using FuseDFS and Hoop
Module -11
Delving Deeper Into the Hadoop API
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More about ToolRunner
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Testing with MRUnit
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Reducing Intermediate Data With Combiners
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The configure and close methods for Map/Reduce Setup and Teardown
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Writing Partitioners for Better Load Balancing
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Hands-On Exercise
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Directly Accessing HDFS
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Using the Distributed Cache
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Hands-On Exercise
Module -12
Common MapReduce Algorithms
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Sorting and Searching
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Indexing
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Machine Learning With Mahout
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Term Frequency – Inverse Document Frequency
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Word Co-Occurrence
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Hands-On Exercise
Module -13
Using Hive and Pig
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Hive Basics
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Pig Basics
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Hands-on exercise
Module -14
Practical Development Tips and Techniques
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Debugging MapReduce Code
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Using LocalJobRunner Mode For Easier Debugging
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Retrieving Job Information with Counters
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Logging
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Splittable File Formats
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Determining the Optimal Number of Reducers
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Map-Only MapReduce Jobs
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Hands-On-Exercises
Module -15
More Advanced MapReduce Programming
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Custom Writables and WritableComparables
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Saving Binary Data using SequenceFiles and Avro Files
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Creating InputFormats and OutputFormats
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Hands-On Exercise
Module -16
Joining Data Sets in MapReduce
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Map-Side Joins
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The Secondary Sort
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Reduce-Side Joins
Module-17
Graph Manipulation in Hadoop
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Introduction to graph techniques
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Representing graphs in Hadoop
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Implementing a sample algorithm: Single Source Shortest Path
Module-18
Creating Workflows with Oozie
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The Motivation for Oozie
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Oozie’s Workflow Definition Format
Speaker/s
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18 years in to IT Training and Consulting in areas of Java, Enterprise J2EE with last 6 years in to Hadoop Consulting, Training and assisting organizations like JPMC and Microsoft India Development Center in the inception, incubation and growth of Big Data innovations.
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Have architected more than 10 Big Data life cycle implementation for Customer Churn Analysis, 360 Degree view of the customer and other big data solutions for integrating existing enterprise assets with the Hadoop cluster for organizations.
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Have mentored participants in Amdocs, Fidelity, Wells Fargo, TCS, HCL, Erricson, Verizon, CA, Accenture and other organizations in Hadoop with its eco-system components like Hive, Hbase, Pig and Sqoop.
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Have delivered more than 200+ Big Data Trainings with a rating of 4.5+ in more than 90% of the training.
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Or call:515-966-4358
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