Palium Skills is offering Big Data Analytics Classroom Training in Kolkata ing courses to individuals and corporates.
It is estimated that most new jobs in IT Sector will be in these emerging areas like Business Intelligence, Big Data, SAS etc.The certification and training course details are as follows -
Audience:
Course Objectives
Course Outline:
No |
Title |
Topics Covered |
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Introduction to Big Data and Hadoop |
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01 |
Introduction to Big Data |
• What is Big Data? • Data Evolution Through Past 4 Decades • Nature of Big Data – Volume, Variety & Velocity • Factors Driving Use of Big Data • Challenges faced by Conventional Data Analytics system • Need for Big Data Technologies • Overview of Big Data Technologies – Hadoop |
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02 |
Applications of Big Data |
• Real life business problems, which can’t be answered without data • Case Study – Increasing Customer Life-time Value in Web Retail Business • Case Study – Increasing Machine utilization and asset life in aManufacturing Organization • Case Study – Real-time Credit Card Fraud Detection |
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03 |
Hadoop Architecture |
• Principles of Distributed Processing • Overview of Hadoop Architecture • Hadoop Core Components – HDFS & Map/Reduce |
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04 |
HDFS |
• HDFS Overview • Distributed File Storage Concepts • Importance of Block Size • Data Fault-tolerance using Replication • Understanding Name node Metadata • Cluster Fault-tolerance using Secondary Name node |
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05 |
Setting Up a Hadoop Cluster |
• Downloading, installing & Configuring Hadoop • Setting up a Pseudo-Distributed Cluster • Setting Up a Fully-distributed Cluster • Working with Hadoop – DFS shell commands • Hadoop User Interface • Understanding Hadoop Log Files • Changing HDFS block sizes and Replication Factors • Adding and Removing Nodes from Hadoop Cluster |
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06 |
Introduction to Map/Reduce |
• What is Map/Reduce • Map/Reduce examples from real world • Basic principles of Map/Reduce • Understanding various Map/Reduce Phases • Running our first Map/Reduce program using Wordcount example |
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07 |
Working with Map/Reduce |
• Map/Reduce Framework • Roles of Developer and Framework • Hadoop Data Types – Writable & Comparable Interfaces • Hadoop Input & Output Formats • Writing a Map Class • Writing a Reduce Class • Creating a Job Configuration Object • Building a Jar and running a Map/Reduce program |
08 |
Map/Reduce in Detail |
• How Map/Reduce works • Roles of Developer and Framework • Hadoop Data Types – Writable & Comparable Interfaces • Hadoop Input & Output Formats • Writing a Map Class • Writing a Reduce Class • Creating a Job Configuration Object using inner classes • Building a Jar and running a Map/Reduce program |
09 |
Introduction to Pig |
• What is Pig? Why Pig • Pig Architecture & Modes of Operations • Pig Latin Script • Pig Data Types • Pig Operators • Word Count Example & Other Hands-on Exercises • User Defined Functions and Data Types • PIG Data Joins |
10 |
Introduction to Hive |
• Hive Introduction • Differences between Hive and traditional RDBMS • Hive Architecture – components of Hive • Hive Data Model – database, partitions, tables, fields, indexes • Hive Schema and Meta store • Input / Output Formats – SerDe’s • HQL - Hive Query Language • HQL – Hands On Exercises • Project - Building a Tweeter Sentiment Analysis Application |
11 |
Introduction to No-SQL Databases |
• Why HBase? • HBase Architecture • Role of Zookeeper • Overview of Cassandra • Cassandra Exercise |
12 |
Data Import. Export with Flume and Sqoop |
• Bringing unstructured data into Hadoop using Flume • Flume Exercise • Bringing Relational Data from SQL into Hadoop using Sqoop • Sqoop Exercises |
13 |
Real-Time Analytics with Spark |
• Why Spark • Spark Architecture • Spark Application Development Environment |
Course Summary and Review
Course Name | Exam | No of (days) |
Oracle SQL | SQL Certification Exam 12c or 11g | 1 |
Total | 1 |
Course/Exam Name | Duration | Fees |
SQL Course | 24 hours or 12 classes | Rs. 5,900 |
SQL Certification Exam | -- | Rs.10,900 |
Total | Rs. 16,800 |
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