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Big data hadoop course syllabus - NetTech India

NetTech India is the best big data Hadoop training course provider in Mumbai.<br>We provide big data Hadoop classroom training for students and also for working professionals.<br>

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Big data hadoop course syllabus - NetTech India

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  1. BIGDATA HADOOP – ANALYTIC Module 1: Introduction Big data and Hadoop What is Big Data? Characteristics of big data Big Data challenges Popular tools used with big data For storing, processing, analysing & visualization Where Hadoop fits in? Traditional data analytic's architecture versus Hadoop What is Hadoop? History of Hadoop Hadoop’s key characteristics Hadoop usage Module 2: Hadoop Eco-system & Architecture Hadoop eco-system & core components HDFS architecture & overview of MRv1 HDFS daemons Files and blocks Anatomy of a file write & read Replication & rack awareness Module 3: Introduction to YARN What is YARN? MR1 v MR2 YARN architecture HDFS Federation YARN Deamons YARN Job execution workflow Authentication and high availability in Hadoop Module 4: Hadoop Cluster Configuration Hortonworks sandbox installation & configuration Hadoop Configuration files Working with Hadoop services using Ambari Hadoop deamons Browsing Hadoop UI consoles Basic Hadoop Shell commands Eclipse & winscp installation & configurations on VM Module 5: Basics of MapReduce on YARN Running a MapReduce application in MR2 MapReduce Framework on YARN Fault tolerance in YARN Map, Reduce & Shuffle phases Understanding Mapper, Reducer & Driver classes Module 6: MapReduce Programming Writing Map Reduce WordCount program Executing & monitoring a Map Reduce job Use case - Sales calculation using M/R

  2. Module 7: Analysis using Pig Background of Pig Pig architecture Pig Latin basics Pig execution modes Pig processing – loading and transforming data Pig built-in functions Filtering, grouping, sorting data Relational join operators Pig Scripting Pig UDF's Module 8: Analysis using Hive Data Warehousing Infrastructure Background of Hive Hive architecture Hive Query Language Derby to MySQL database Managed & external tables Data processing – loading data into tables Hive Query Language Using Hive built-in functions Partitioning data using Hive Bucketing data Hive Scripting Using Hive UDF's Module 9: Working with HBase HBase overview Data model HBase architecture HBase shell Zookeeper & its role in HBase environment HBase Shell environment Creating table Creating column families CLI commands – get, put, delete & scan Scan Filter operations Module 10: Importing & Exporting Data using Sqoop Importing data from RDBMS to HDFS Exporting data from HDFS to RDBMS Importing & exporting data between RDBMS & Hive tables Module 11: Oozie Workflow Management Overview of Oozie Oozie Workflow Architecture Creating workflows with Oozie Module 12: Using Flume for Analysing Streaming Data Introduction to Flume Flume Architecture Flume Demo

  3. 203/RATNMANI BLDG, DADA PATIL WADI, OPP ICICI ATM, THANE WEST Web: www.nettechindia.com Phone : 9870803004/ 9870803005

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