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Big Data And Hadoop

Course

BIG DATA AND HADOOP

Category

Hadoop Online Courses

Eligibility

Freshers and Career Changers

Mode

Online and Offline Classes

Batches

Week Days and Week Ends

Duration :

30 to 45 days

Hadoop What will you learn?

•Learn to build apps with Hadoop.
•Build and run your first application in Hadoop.
•Learn how to build an app in Hadoop.
•Different Hadoop practical questions asked during real time interviews .
•From A-Z: The Complete Beginners-Advanced Masterclass – Learn Hadoop
•Learn how to build bug-free, memory safe applications and programs
•Learn and Understand Hadoop From a total Beginner to and Expert
•Students will have a solid understanding on how to create Hadoop App.
•You will be able to develop top class apps and think like a programmer

big data and hadoop Course Highlights

•Advanced Topics covered with examples
•Get Training from Certified Professionals
•Flexible batch timings – Weekend & weekdays.
•The courses range from basic to advanced level
•Indutry oriented training with corporate casestudies
•Courseware that is curated to meet the global requirements
•Affordable fee structure to help as many students strive career in IT industry
•Lifetime access to our 24×7 online support team who will resolve all your technical queries, through ticket based tracking system.

Who are eligible for Hadoop

•.net, front end developer, Android Development, ios, Big Data, Web Development, java full stack, Service Now, Wintel Servers, Change Management, Database
•IOS Developer, .net c# asp.net, c c++ java, accounts finance sap fico, sap mm functional consultant
•Javascript, CSS, UI Development, Html5, JSON, MySQL, Spring Boot, Design Patterns, NoSQL, Algorithms, Ui Developer
•php, wordpress, drupal, Iphone Developer, Android, Java, Team Management, Android Developer, Mobile Application Development
•Websphere Message Broker, Ibm Bpm, Odm, Cognos Bi, Filenet, Tivoli, Datapower, Redhat Linux, Cloud Computing, Mobile Testing, Devops, Java, .Net, Python

BIG DATA AND HADOOP Syllabus

Big Data and Hadoop Introduction
•Hadoop Framework
•Hadoop Ecosystem
•HDFS
•Magic Boxes, Sqoop and Flume
•NameNode, DataNode and JournalNode
•Input output operations, Ram and HDD, pros and cons
•MapReduce Theory 1.1
•MapReduce Theory 1.2
•MapReduce Theory 1.3
•Combiner Approach with pros and cons
•Practical : Sqoop with MySQL
•Visit to Cloudera Machine
•Sqoop commands with introduction to Linux commands as well
•Sqoop commands
•Basics of core Java, introduction to eclipse, MapReduce Coding
•MapReduce Coding only
•Hive theory
•Word Count Processing time Comparison between MapReduce and Apache Spark
•Hive: connecting, loading, defining delimiters
•Hive: coding
•Hive to Impala and Beeline
•Comparing Performance Time between Hive and Impala
•Hive : partitioning and bucketing
•Hive : partitioning and bucketing ( 2 hours lecture)
•YARN, HBASE, OOZIE
•FINAL PROJECT ON REAL DATA SET