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Big Data Analytics Training

Course Introduction

This course is designed to provide you a comprehensive and hands-on training on Big data analytics. This course is a developer level program and will help you learn all the required skills for being a successful big data analytics developer.

This course will train you on HADOOP Platform, PIG, HIVE, HBASE, SQOOP, Flume as well as Apache Spark and scala basics. If you are looking for a Data science training program in R or Python, you can visit the following page:

The training course will be based on case studies so that you can learn to apply analytics skills in real-life scenarios.

Course Highlights

Case-studies based training

Learn from Industry Professionals

Certification based on PAT

LMS Portal
Access

Recorded Sessions access

36-Hrs of
Classes

Who should attend this course?

This course is designed for the following professionals:

  • • Software developers with programming background

  • • Database & ETL developers

Course Syllabus

Introduction

• What is Business Analytics

• Business Analytics lifecycle

• Why Big Data Analytics

• Defining Big data

• Business Analytics phases:

  • ◦ Data Acquisition

  • ◦ Data Cleaning

  • ◦ Data Manipulation

  • ◦ Data Analysis (Statistical and Analytical methods) to make sense of data

  • ◦ Data Visualization

Introduction to HADOOP

• Hadoop High-level Architecture

• Hadoop ecosystem components and uses

• Hadoop Storage: HDFS

• Concept of Hadoop Distributed file system

• Design of HDFS

• Common challenges

• Best Practice of scaling with your data

• Configuration of HDFS

• Hadoop Clusters component :- NameNode, Secondary NameNode, and DataNode, Data flow (Anatom y of File W rite and Read)

• Linux fundamental command

HDFS & Pseudo Cluster Environment

• Storage HDFS

• Name Node HA & Node Manager

• VMware Setup

• SSH Installation

• Java ,Hadoop , Hive, Pig, HBASE Installation

• Cluster specification

• Hadoop Configuration (Environment Settings, Hadoop Daemon- Properties, Addresses and Ports)

• Basic Linux and HDFS Commands

• Setup a Hadoop Cluster

HADOOP MapReduce

• Hadoop Data Types

• Functional-Concept of Mappers

• Functional-Concept of Reducers

• MapReduce Execution Framework

• Partitioners and Combiners

• Hadoop Cluster Architecture

• MapReduce types

• Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs)

• OutPut Formats (TextOutput, BinaryOutPut, Multiple Output)

• Writing Programs for MapReduce

PIG

• Installing and Running Pig

• Grunt

• Pig's Data Model

• Pig Latin

• Datatypes In Pig

• Developing & Testing Pig Latin Scripts

• Writing Evaluation

• Filter

• Loads & Store Functions

• FOREACH

Class Exercises & Assignments

Project on Pig

HIVE

• Hive Architecture In Details

• Running Hive on Hadoop

• Comparison with Traditional Database (Schema on Read versus W rite, Updates, Transactions and Indexes)

• Hive Query Language (Data Types, Operators and Functions)

• Tables (Managed and External Tables, Partitions and Buckets, Storage Formats, Importing Data) Altering Tables, Dropping Tables

• Querying Data

  • ◦ Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries & Views

• Map and Reduce site Join to optimize Query

• User Defined Functions

• Appending Data into existing Hive Table

• Custom Map/Reduce in Hive

• Perform Data Analytics using Pig and Hive

Case study on Hive

Project on Hive

HBASE

• What is NoSQL?

• Difference Between SQL & No SQL

• What is HBASE?

• Client API’s and their features

• Available Client

• HBase Architecture

• MapReduce Integration

• Advanced Usage

• Advanced Indexing

• Implementing HBASE

Examples and assignments on Hbase

HBASE and ZooKeeper

• HBase: Advanced Usage in details

• Schema Design and Run

• Advance Indexing

• Coprocessors

• Hadoop Project: HBase tables

• The Zookeeper Service (Data Modal, Operations, Implementation, Consistency, Sessions, States)

• Building Applications with Zookeeper (Zookeeper in Production)

Case study and Assignment

SQOOP, OOZIE and FLUME

• OOZIE Installation

• Running an OOZIE EXAMPLE

• OOZIE W EBCONSOLE

• Expression Language Functions

OOZIE WORKFLOW EXAMPLE(PIG, Hive)

• Control Flow nodes

• Action Node Properties (Hive,Pig)

• Introduction to flume.

Twitter Analytics using FLUME

Basics of SQOOP

Basics of Apache Spark and Scala

• Introduction to Apache Spark Platform

• Why Apache Spark?

• What is Scala

• Use cases for Apache Spark

Case Study

Course Preview

Big Data Analytics & Hadoop

  Big Data and Hadoop basic

Introduction to Apache Spark

  Introduction to Apache Spark

Upcoming Batches Schedule

  Date :
Sep 23 - Nov 25
( Sat & Sun )
  time :
07:30 AM - 09:30 AM (IST)
  course type :
Live Online Training
  fees:
Rs. 19,500
  Early Bird Offer:
Rs. 16,900 Rs. 19,500  13% OFF
(Offer valid till 30th Jul 2017)
  Date :
Oct 07 – Dec 09
( Sat & Sun )
  time :
07:30 AM - 09:30 AM (IST)
  course type :
Live Online Training
  fees:
Rs. 19,500
  Early Bird Offer:
Rs. 16,900 Rs. 19,500  13% OFF
(Offer valid till 19th Aug 2017)
  Date :
Oct 21 - Dec 23
( Sat & Sun)
  time :
07:30 PM - 09:30 PM (IST)
  course type :
Live Online Training
  fees:
Rs. 19,500
  Early Bird Offer:
Rs. 16,900 Rs. 19,500  13% OFF
(Offer valid till 02nd Sep 2017)

Free Tutorials

Free Selenium Tutorials

What is Data science?

An article written by our Data science expert explaining the role of a data scientist using the case of “People You may know” feature on Facebook/LinkedIn. Written in a simple to understand manner, it will be a good start for you. Read More

Free Selenium Tutorials

Understanding data science (Video)

This is a recording of a webinar, conducted by a Data scientist working with Adobe Systems. In this webinar, he provides a thorough understanding of the data science, the project framework and techniques used in data science. Watch Video

Free Selenium Tutorials

What is machine learning? (Video)

In this webinar recording, the speaker explains the concepts of machine learning and artificial intelligence. A useful insight into the world of Machine learning. Watch Video

Free Selenium Tutorials

What is descriptive analytics?

Descriptive analytics is one of the types of Business analytics. In this article, you will learn about the types of analytics specifically descriptive analytics, with the help of an example. Read More

Faculty & Technical Support

As a student you can ask questions with the trainers even after the classes. Simply send an email to TechHelp@techcanvass.co.in. You will get the answer as soon as possible.
Please note that our trainers are working professionals and sometimes may be busy with their office work.

Case Studies

Financial Industry Case Study

case_study

This case study is a real-life case study and will provide you the application of data science in real-life scenario.

Marketing Case study

case_study

Marketing is one of the domains where analytics play an important role. Analyzing customer data for customer profiling and segmentation and many more is an important arsenal in the hands of a marketing manager.

Retail Industry Case study

case_study

Retail industry always deals with large amount of transactional data on an hourly basis and the industry analyzes the data and applies the data science principles to understand customer behavior in order to earn customer loyalty. In this case study, we would be looking at a business scenario and how it is done?

E-Commerce case study

case_study

E-commerce industry has undergone rapid changes in the last decade or so and that’s for good. Amazon has been a pioneer in the using predictive analytics to suggest books to visitors of the website. In this case study, we would be looking at how e-commerce industry has used data science principles to win over customers.

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