Hadoop Developer Training
About Hadoop Developer Training:
Hadoop developer training builds your development skills in big data domain. Hadoop is a free source, Java based programming framework that assists the processing and storage of highly large data sets in a distributed computing environment.
Hadoop developer jobs is same as the software developer and their roles are also similar but the domain in which they work is different. Hadoop developer training online helps you to get Hadoop developer certification at the end of the course.
Why Learn Hadoop Development?
At kernel training we look into quality, we cover every topic related to Hadoop development. Once you are done with the course you will be able to design, test and maintain Hadoop based applications, understanding of Hadoop ecosystem, experience on technologies such as Tableau, Pig, Hive etc., basics on maven, jenkins, ETL and XML data sources, learn agile development methodology.
MapReduce applications in Java improves application performance objective. The course also covers debugging, managing jobs, improving performance, working with custom data, managing workflows, and using other programming languages for MapReduce.
If you are a beginner or experience IT programmer this is the best place to get trained on Hadoop. We assist you passing the certification with ease, out course materials are designed in such a way to enhance you knowledge and case studies are provides to have a practical overview of all topics. Every student can enroll and have a live demo provided by real time instructor. Once you register you will have access to our LMS (Learning management system) which provides access to the entire training session recording, which can be viewed at any time.
Enroll for expert level Hadoop developer online training, get access our tutorials, course material and online classes after enrolling with kernel. Kernel is the best online training provider of big data analytics training, our online and offline experts are highly experienced to assist students with complete live practical sessions. Hadoop developer demand is high in the market.
Learn Hadoop development training from reputed online training institute to become Big Data/Hadoop Developer, kernel training is a leader in providing Hadoop tutorials,hadoop developer certification sample questions, classes and course material. Our training sessions have been led by expert trainers with huge experience. Enroll for our latest batches to join the Hadoop Developer Training Online.
Hadoop Developer Online Course Target:
- learn hadoop mapreduce and Implement basic Mapreduce application.
- Describes Hadoop 2.0 , Hadoop Distributed File System (HDFS) and MapR-FS file systems, Learn Hadoop big data concepts.
- Learn Hadoop online to implement the functionality of the Mapper, Reducer, and Job classes.
- Characterize and improve MapReduce job performance.
- Manage and debug MapReduce jobs.
- Using different data sources in MapReduce.
Hadoop Developer Course Targeted Audience:
Developers who need to understand and develop Java MapReduce applications for Hadoop 2.0.
Hadoop Developer Training Prerequisites:
- There are no prerequisites for Hadoop knowledge.
- This course is designed for people proficient with Object Oriented Programming language (OOPS) and JAVA.
Hadoop Developer Training Format:
- Training at Kernel Technology will be instructor-led lecture and discussion.
- Course will end with hands-on labs experience along with project completion.
- Certification of the course after successful completion of quiz.
Companies Using Hadoop Developer:
You can search Hadoop developer jobs in Amazon Web Services, IBM, Hortonworks, Cloudera, Intel, Microsoft, Pivotal, Twitter, Salesforce, AT&T Stumbleupon, Ebay, Yahoo, Facebook etc organizations. Details on Hadoop developer average salary are available
Hadoop Developer Career Opportunities:
Java Mapreduce specialists are among the world’s most in-demand and highly-compensated technical roles. Hadoop developer salary is on high.
Hadoop Developer Course Curriculum:
1. Big Data and Hadoop Introduction
Goal set: You will get better exposure on Big Data and Hadoop. It will deal with important case uses, Hadoop Eco-system, and comparison between Hadoop and RDBMS.
Topics – Introduction to Big Data and Hadoop, Challenges of Big Data, Traditional approach Vs Hadoop, Hadoop Architecture, Distributed Model, Block structure File System, Technologies supporting Big Data, Replication, Fault Tolerance, Basic of Hadoop, Hadoop Eco-System, Use cases of Hadoop, Fundamental Design Principles of Hadoop, Comparison of Hadoop Vs RDBMS.
2. Understand Hadoop Cluster Architecture & Map Reduce
Goal set: In this module of Hadoop developer online training you will be able to understand important aspects of the Hadoop Cluster Architecture and Map Reduce. Course participant can get thorough knowledge on log processing, Map Reduce, and even more.
Topics – Introduction – Hadoop Cluster & Architecture, 5 Daemons, Typical Workflow, Writing Files to HDFS, Reading Files from HDFS, Rack Awareness, Before Map Reduce, Map Reduce Overview, Word Count Problem, Word Count Flow & Solution, Map Reduce Flow, Log Processing and Map Reduce, Understand- Mapper, Reducer, Shuffling
3. Advanced Map Reduce Concepts
Goal set: In this module of Hadoop developer online course you will be able to understand clearly advanced map reduce concepts and its significance.
Topics: Introduction – Combiner, Practitioner, Counter, Basics: learn map reduceInput Formats/Output Formats, Importance of Map Join using MR, Reduce Join using MR,MR Distributed Cache,
4. Planning for Cluster & Hadoop 2.0 Yarn
Goal set: In this module of Hadoop developer online course, you can understand as how to configure the Hadoop, selection of Hadoop hardware, and software and even log files.
Topics: Introduction- Configuration of Hadoop, Understand – Choosing Right Hadoop Hardware, choosing Right Hadoop Software, Hadoop Log Files.
5. Hadoop 2.0 & YARN
Goal set: You can have better understanding of Yarn MR application flow by the end of this module.
Topics: Introduction – Hadoop 1.0 Challenges, NN Scalability, NN SPOF & HA, Job Tracker Challenges, Hadoop 2.0 New Features, Hadoop 2.0 Cluster Architecture & Federation, Hadoop 2.0 HA, Yarn & Hadoop Ecosystem, Yarn MR Application Flow.
Goal set: In this module of Hadoop developer online training, the course will begin from introduction of Pig, to processing complex data, and joining and splitting Data Sets in detail.
Topics: Introduction: Pig, Pig’s Features & Pig Use Cases, Interacting with Pig, Basic Data Analysis with Pig, Pig Latin Syntax, Loading Data, Basics: Simple Data Types, Field Definitions, Data Output, Viewing the Schema, Filtering and Sorting Data, Commonly-Used Functions, Hands-On Exercise: Pig for ETL Processing, Processing Complex Data with Pig, Understand: Storage Formats, Complex/Nested Data Types, Grouping, Built-in Functions for Complex Data, Iterating Grouped Data, Hands-On Exercises, Multi-Dataset Operations with Pig, Techniques for Combining Data Sets, Joining Data Sets in Pig, Splitting Data Sets, Hands-On Exercise
Goal set: In this module of Hadoop developer online classes, you will understand fundamentals of Hive, comparison with traditional database, dropping tables, user defined functions and more about static partitioning, and dynamic partitioning.
Topics: Definition- HIVE, Fundamentals & Architecture, Loading and Querying Data in Hive, Hive Architecture and Installation, Comparisons- Traditional Database, Definition- HiveQL: Data Types, Operators and Functions, Hive Tables ,Managed Tables and External Tables, Partitions and Buckets: storage Formats, Importing Data, Altering Tables, Dropping Tables- Querying Data, Sorting and Aggregating, Map Reduce, Introduction- Scripts, Joins & Sub queries, Views, When to Use HIVE, Impala and Pig, Hands on Exercises, Integration, Data manipulation with Hive, Explain- User Defined Functions, Appending Data into existing Hive Table, Static partitioning vs dynamic partitioning
Goal set: In this module of Hadoop developer online training, you can learn about HBase, Data Model, operations, programming and practice hands on exercises.
Topics: Introduction – HBASE, CAP Theorem, HBase Architecture and concepts, Client API’s and their features, HBase tables The ZooKeeper Service, Understand- Data Model, Operations, Programming and Hands on Exercises.
Goal set: You can learn about the Introduction to Sqoop, and learn about importing data, exporting data using Squoop by the end of the module.
Topics: Introduction – Sqoop, MySQL Client & server, IN Detail- Connecting to relational data base using Sqoop, Importing data using Sqoop from Mysql, Exporting data using Sqoop to MySql, Incremental append, Importing data using Sqoop from Mysql to hive, Exporting data using Sqoop to MySql from hive, Importing data using Sqoop from Mysql to hbase, Using queries and sqoop.
10. Flume & Oozie
Goal set: In this module of Hadoop developer online classes you can understand about flume, twitter data analysis projects, oozie architecture, configurations, oozie properties, and gain hands on experience.
Topics: Introduction – Flume, Understand – Architecture, configurations, Master, collector, Agent, Twitter Data Analysis project Oozie, Introduction – Oozie, Architecture, configurations, Oozie Job Submission, Oozie properties, Hands on exercises
11. Final Project in Banking Domain
Goal set: In this module, you can have an exposure on a project that deals with banking domain and also have a detailed discussion on the topic.
Topics- Introduction- Hadoop Project in Banking Domain, Objective, Problem Definition, Solution, Discuss data sets and specifications of the project.
12. Fundamentals of Scala
Goal set: In this module you will deal with fundamentals of Scala in detail.
Topics: Introduction – Fundamentals of Scala in detail
13. Apache Spark
Goal set: In this module you can understand fundamentals of spark, comparison between batch and real time big data analytics, and spark in memory data.
Topics- Introduction- Spark, Batch Vs. Real Time Big Data Analytics, Batch Analytics – Overview – Hadoop Ecosystem, Real Time Analytics Options, Streaming Data – Storm, In Memory Data – Spark.
Demo Class Recording
Welcome, To Hadoop Development
How it Works?
- This is an Online Course with Instructor led LIVE and Interactive Sessions.
- This course contains Practical Work involving Practical Hands-on, Lab Assignments, and Real World Case Studies. This practical work can be done at your own pace.
- You will have access to 24×7 Technical Support. You can request for assistance for any problem you might face or for any clarifications you may require during the course. You will have access to Hadoop developer step by step tutorial.
- At the end of the training, you will have to work on a Hadoop developer Projects. You will receive a Grade and a Verifiable Hadoop developer Certification on the successful completion of this project. we will not charge extra for the Hadoop developer certification cost.
Demo class video and PPT Presentation
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