Big data and Hadoop Training Brochure

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Big Data and Hadoop Training batch in Pune is scheduled to commence on December 7th, 2013.This batch will be as per a new revamped four day schedule, contents and focus, based on feedback from participants of earlier courses. The training is conducted in a workshop like environment with an effective blend of hands-on practicals and assignments to augment the fundamental theory covered.

About the Faculty:
He is a Doctorate in Engineering and an industry veteran with more than twenty five years experience in launching new technologies, products and businesses. He has been involved in acquiring five patents for the company that he has worked for.

Big Data Analytics – Why?
Data is now generated by more sources and at ever increasing rates. Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. The ability to process such data can provide that essential edge required for business success. Demand for Big Data professionals is rapidly increasing. Knowledge of Big Data can provide an advantage leading to faster professional advancement

About this course
This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together.

By completing this course you will be able to …
 Understand fundamentals of analytics: Descriptive, Predictive and Prescriptive Analytics
 Know what ‘Big Data’, Map Reduce and Hadoop are all about
 Get a grip on the structure of Big Data applications
 Effectively use Big Data techniques like Map Reduce and tools like Hadoop, Hive, Hbase, Pig
 Choose the most appropriate tools to solve Big Data problems
 Identify, propose and lead Big Data projects in your organizations

Course Content -
 What is Big Data?
 Overview of Big Data tools and techniques
 In-depth coverage of Map-reduce techniques to manage Big Data
 Hadoop - In Depth
 HDFS – In Depth
 Installing and managing Hadoop – Hands-on
 Introduction to Hadoop Clusters
 Hands-on session using native installation and Amazon EMR implementation of Hadoop
 The Hadoop ecosystem: Pig, HIVE, HBase, Pig, SQOOP and Flume
 Analytics: Descriptive, Predictive and Prescriptive
 What is Big Data Analytics
 Introducing Analytics in the enterprise: Case Studies
 Trends in Big Data Analytics

The course takes a "hands-on" approach to ensure that the basics are understood very well and assimilated concepts are applied in practice.

Essential pre-requisite for practitioner course: Java programming language.
Note: Basic Java Module for participants those who are new to Java.

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  • Hi Everyone,

    You people can also learn these Big data Analytics and Big data Hadoop class online in our online education university.
    I am sure it would be beneficial for you.
    Thanks
       Reply 
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Big data and Hadoop Training Brochure

  1. 1. TM MCAL A Div. of MindMap IT Solution (P) Ltd. Big Data Analytics For Business
  2. 2. Big Data Analytics – Why? • Data is now generated by more sources and at ever increasing rates • Examples include Social Media sites, GPS based tracking systems, point of sale equipment, etc. • The ability to process such data can provide that essential edge required for business success • Demand for Big Data professionals is rapidly increasing • Knowledge of Big Data can provide an advantage leading to faster professional advancement With increasing complexities of business decisions, CxOs are seeking active tools and dashboards that will help them in planning, forecasting, and budgeting for rapid business growth. Big Data analytics has already become an important tool in their arsenal to achieve these objectives. MCAL’s Big Data Analytics for Business program helps you launch yourself with excellent exposure to Big Data techniques and tools TM Why MCAL ? TM MCAL (Management Consulting & Advanced Learnings) is the leading high-end consulting and training company in South Asia having expertise in the areas like Business Analysis, Management Consulting, Project Management , Sales, Finance, Cloud Computing, Six Sigma, Android, Big Data, Data Analytic IT Service Management / ITIL framework. We are serving most of the fortune 500 companies present in India. In the last 5 years, we helped more than 5000 professionals have shaped their career with accelerated growth. Our exceptional track record and innovative approach make us one of most liked Training and Consulting Partner for our clients, from Individuals to MNCs. We are associated and approved from by the Global Bodies like IIBA -Canada, PMI -US, TUV -Germany, IREB ® Germany and ITIL -UK, this is a unique achievement for any Indian Company. ® ® ® ®
  3. 3. About this course: This course on Big Data Analytics for Business is a combination of essential fundamentals, practical techniques, hands-on sessions on Hadoop, and case studies to cement all this together. By completing this course: Understand fundamentals of analytics Know what‘Big Data’ analytics is all about Get a grip on Big Data applications Identify problem areas that can be tackled by Big Data analytics Effectively Use Big Data tools like Hadoop Choose the most appropriate tools to solve Big Data problems Propose and lead Big Data related projects in your organizations Who Should Attend: = Managers and Executives who wish to harness the power of business analytics to sharpen their decision making process. = Experienced professionals who wish to get well rounded insights into business analytics and its applications. = Graduates who wish to build & pursue career in business analytics Course Variants = For Executives (CXOs and Managers): One day intensive course = For practitioners and students: Five day in depth course Note: Customized corporate programs can also be scheduled as per requirements Course Delivery Method: Classroom Contact Program. In-depth variant will consist of: = Theory sessions = Hands-on sessions = Case Study and Analysis sessions COURSE COVERAGE: Data Processing 4 Data processing over the years 4 New data generation agents 4of relational database systems Inadequacy 4 Nature of queries - Earlier planned, now dynamic 4 queries that need to be answered now Examples of 4 Solutions - New database trends (Columnar databases) 4 Solutions - New data processing methods (Map Reduce) 4 Technology companies Case studies: 4 Other companies Case studies: Modern Database Concepts: 4 Relational databases and their limitations 4 the problem of flexible schema - Key/Value method of data storage How to solve 4of Key / value method of storage & limitations Advantages 4 provide schema flexibility? How does this 4 support efficient data storage? How does this 4 support distributed data storage? How does this 4 provide fault tolerance? How does it 4 ensure speed of query? How does it 4 How is it capable of answering conventional database queries? 4 some columnar databases: MongoDB, Dynamo, Hbase Overview of 4 Who uses these databases? 4 Store now, process later philosophy; and how to go about it? Introduction to MapReduce: 4 What is MapReduce and the need for it. 4 Real Life Examples of Map Reduce in action 4 MapReduce technique Evolution of 4 of some frequent tasks into MapReduce Decomposition 4 How MapReduce can be used to perform database tasks 4 Inputs and Outputs; files and programs Map Reduce: 4Reduce implemented in real life? Architecture of MapReduce system. How is Map 4 to Hadoop and overview Introduction Hadoop Hands-on: 4 to AWS Introduction 4 to EMR: Inputs and outputs Introduction 4 wordcount example Running the 4 Analysis of inputs and outputs Hadoop: 4 into Hadoop architecture Getting deeper 4 HDFS 4 Stages of Hadoop Mapreduce 4 Hadoop interfaces 4 Hadoop Ecosystem - An introduction 4 6-Hadoop installation and Configuration 4 Cygwin 4 SSH Hadoop Distributions: 4 Hadoop distributables - and introduction 4 Extraction 4 Directory walk-through 4 Documentation walk-through 4 of important files / configuration elements Identification Hadoop Installation: 4 Hadoop installation: Step-by-step 4 Hadoop Configuration 4 Hadoop Administration 4 Hadoop: Programmer's view Hadoop Ecosystem: 4 Hive 4 Hbase 4 Pig 4 Sqoop 4 Avro Business Analytics: 4 to Analysis and Analytics Introduction 4 Business Statistics 4 Predictive / Prescriptive Statistics Descriptive / 4 Big Data Analytics 4 Trends in Analytics Application: 4 Project – Introduction 4 Solving the problems using MapReduce / Hadoop: An example 4 Project presentation 4 Problem identification and discussion 4 Solution + presentation preparation 4 + discussion Presentation

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