Hadoop Online Training

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Amelia Jenkins
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1 Hadoop Online Training IQ training facility offers Hadoop Online Training. Our Hadoop trainers come with vast work experience and teaching skills. Our Hadoop training online is regarded as the one of the best online training in India. All our students were happy and able to find Jobs quickly in USA, UK, Singapore, Japan and Europe. Hadoop training online is your one stop solution to learn Hadoop at the comfort of your home with flexible schedules. IQ Training offers the Hadoop Online Course in a true global setting. Course Contents: Introduction to Hadoop and Architecture 1. Hadoop 1.0 Architecture Introduction to Hadoop & Big Data Hadoop Evolution Hadoop Architecture Networking Concepts Use cases - Where Hadoop fits into 2. Hadoop 2.0 Architecture Limitations on Hadoop 1.0 Architecture Features of Hadoop 2.0 Architecture HDFS Federation High Availability of Name Node YARN Yet Another Resource Negotiator Non MR applications on top of YAR Quiz on Architecture Concepts 1 Hadoop Online Training

2 Prerequisites for Hadoop Developer/Data Analysts/Admins 1. Linux Introduction to Linux Commands & Shell Scripts Vi& Vim editor features Case Study to develop a Shell Script 2. Java Introduction to OOPS & JAVA Discussion on Object, Class & Methods Features & Concepts of Core Java for developing MR jobs Familiarizing Eclipse Case Study to develop a Java Code with the concepts learnt 3. Python Introduction to concepts of Python How different is Python from other Programming Languages Complex data Types in Python (Tuple, List, Dictionary) Inbuilt Modules available in Python File handling functions using Python Case Study to develop a Python Code with the concepts learnt Cluster Installation 1. Hadoop Cluster Installation Types of Hadoop Cluster Installing Pseudo Mode Cluster Walk through on inbuilt scripts, directories, configuration files and port numbers. Discussion on Real Time Cluster Size Detailed documentation on Installation Procedure 2 Hadoop Online Training

3 Distributed File System - HDFS 1. HDFS Commands Introduction to HDFS Commands Discussion on scenarios where specific commands are applicable Introduction to Advanced HDFS Commands including fine tuning of cluster Detailed documentation on all the HDFS Commands Custom Script building using HDFS & Unix commands Quiz on HDFS Commands Map Reduce - MR 1. Map Reduce using Java Introduction to Map Reduce Architecture Detailed discussion on different phases of MR o Mapper o Reducer o Splitting o Sorting o Shuffling o Combiner o Spilling o Partitioning o Merging Developing Map Reduce Application from Scratch using different use cases Discussion of difference between Old MR API & New MR API Introduction to different file formats and their internal features (Sequential,Binary etc.,) Developing MR code for Image Analytics Case Study on Map Reduce (Customer Sentiment Analyser) 3 Hadoop Online Training

4 2. Map Reduce using Python Streaming Developing Map Reduce Application using Python Discussion of different features available in Streaming Case Study on Map Reduce Streaming (Analytics on Temperature Datasets) Quiz on Map Reduce Hadoop Eco System Components 1. Hive (Data Warehouse on top of HDFS) Introduction to Hive Architecture Configuring Hive Metadata store in different ways Basic Queries in Hive (DDL,DML) Advanced features of Hive o Partitioning o Bucketing o Sampling o Multi Table load Queries o Serialize & De Serialize Dealing with different formats of data (Flat file, JSON, CSV etc.,) Query optimization using Hive. Developing User Defined Functions (UDF s) in Java & Python Case Study (Analytics on Telecom Datasets) Quiz on Hive 2. PIG (Data Flow Language) Introduction to Pig Latin Basic Commands in Pig Explanation of advanced features like Pig with real time scenarios Different ways of using Pig Storage Dealing with Unstructured data Developing Regular Expressions Developing User Defined Functions (UDF s) in Java & Python Case Study (Analytics on Books Datasets) Quiz on Pig 4 Hadoop Online Training

5 3. SQOOP (Import Export utility) Introduction to Sqoop Basic Sqoop Commands Advanced Import Features Advanced Export Features o Upsert calls o EVAL o Compressed formats Case Study (Analytics on Telecom Datasets) Quiz on Sqoop 4. HBASE (Versioned Database) Introduction to HBASE & NOSQL Basic difference in Row Oriented and Column Oriented storage Basic HBASE Commands Advanced HBASE Features o Versions o Compression Techniques o Bloom Filters o Sequential Scans Bulk Loads to HBASE Features Case Study on HBASE Quiz on HBASE 5. Flume Flume Architecture Configuring Flume Components o Source o Sink o Channel o Agents 5 Hadoop Online Training

6 Building Flume Config files for different scenarios o Basic Config File building o Config file for connecting to different File Servers o Config file for connecting to Web Servers Quiz on Flume 6. Scheduler (OOZIE & Autosys) Introduction to Oozie Introduction to Autosys Using Schedulers for Batch Processing Quiz on OOZIE Finally this series of Practical Sessions End with Quiz on entire Series. 6 Hadoop Online Training

Delving Deep into Hadoop Course Contents Introduction to Hadoop and Architecture

Delving Deep into Hadoop Course Contents Introduction to Hadoop and Architecture Hadoop 1.0 Architecture Introduction to Hadoop & Big Data Hadoop Evolution Hadoop Architecture Networking Concepts Use cases