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Big Data Analytics – Hadoop

Big Data Hadoop Training in Pune-Mumbai-Thane-online-classroom-classes. Why This Course? Hadoop is an open-source software framework that supports the processing and storage of extremely large data sets in a distributed computing environment. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are a common occurrence and should be automatically handled by the framework. McKinsey predicts that by 2018 there will be a shortage of 1.5M data expertsAverage Salary of Big Data Hadoop Developers is $135k (Indeed.com salary data) .

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Clasroom training batch schedules:

Location Day/Duration Date Time Type Quick Enquiry
Pune/Mumbai/Thane 60 hrs 2018-12-01 10:00 Weekend Quick Enquiry

Event batch schedules:

Location Day/Duration Start Date ₹ Price Book Seat
Mumbai/Pune 5 Days 2018-12-01 15000 Enroll Now

Online training batch schedules:

Mode Day/Duration Start Date End Date ₹ Price Book Seat
online 50 hrs 2018-12-01 2019-01-01 20000 Enroll Now

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Big Data Hadoop Training in Pune

Hadoop 2.X- Bigdata Analytics
Duration: 60 Hours
Prerequisites
•	No specific programming background needed. Course Content 

1. Java 
•	Overview of Java 
•	Classes and Objects 
•	Garbage Collection and Modifiers 
•	Inheritance, Aggregation, Polymorphism 
•	Command line argument 
•	Abstract class and Interfaces 
•	String Handling 
•	Exception Handling, Multithreading 
•	Serialization and Advanced Topics 
•	Collection Framework, GUI, JDBC 

2. Linux
• Unix History & Over View
• Command line file-system browsing
• Bash/CORN Shell
• Users Groups and Permissions
• VI Editor
• Introduction to Process
• Basic Networking
• Shell Scripting live scenarios 

3. SQL
•	Introduction to SQL, Data Definition Language (DDL) 
•	Data Manipulation Language(DML) 
•	Operator and Sub Query 
•	Various Clauses, SQL Key Words 
•	Joins, Stored Procedures, Constraints, Triggers 
•	Cursors /Loops / IF Else / Try Catch, Index 
•	Data Manipulation Language (Advanced) 
•	Constraints, Triggers, 
•	Views, Index Advanced 
 
Hadoop - Bigdata

1. Introduction to Bigdata 
•	Introduction and relevance 
•	Uses of Big Data analytics in various industries like Telecom, E- commerce, Finance and Insurance etc. 
•	Problems with Traditional Large-Scale Systems 

2. Hadoop (Big Data) Ecosystem 
•	Motivation for Hadoop 
•	Different types of projects by Apache 
•	Role of projects in the Hadoop Ecosystem 
•	Key technology foundations required for Big Data 
•	Limitations and Solutions of existing Data Analytics Architecture 
•	Comparison of traditional data management systems with Big Data management systems 
•	Evaluate key framework requirements for Big Data analytics 
•	Hadoop Ecosystem & Hadoop 2.x core components 
•	Explain the relevance of real-time data 
•	Explain how to use big and real-time data as a Business planning tool 

3. Building Blocks 
•	Quick tour of Java (As Hadoop is Written in Java , so it will help us to understand it better) 
•	Quick tour of Linux commands ( Basic Commands to traverse the Linux OS) 
•	Quick Tour of RDBMS Concepts (to use HIVE and Impala) 
•	Quick hands on experience of SQL. 
•	Introduction to Cloudera VM and usage instructions 

4. Hadoop Cluster Architecture – Configuration Files 
•	Hadoop Master-Slave Architecture 
•	The Hadoop Distributed File System - data storage 
•	Explain different types of cluster setups (Fully distributed/Pseudo etc.) 
•	Hadoop Cluster set up - Installation 
•	Hadoop 2.x Cluster Architecture 
•	A Typical enterprise cluster – Hadoop Cluster Modes 

5. Hadoop Core Components – 
   HDFS & Map Reduce (YARN) 
 
6.	HDFS Overview & Data storage in HDFS 
• Get the data into Hadoop from local machine (Data Loading Techniques) - vice versa 
• MapReduce Overview (Traditional way Vs. MapReduce way) 
• Concept of Mapper & Reducer 
• Understanding MapReduce program skeleton 
• Running MapReduce job in Command line/Eclipse 
• Develop MapReduce Program in JAVA 

• Develop MapReduce Program with the streaming API 
• Test and debug a MapReduce program in the design time 
• How Partitioners and Reducers Work Together 
• Writing Customer Partitioners Data Input and Output 
• Creating Custom Writable and Writable Comparable Implementations 

7.	Data Integration Using Sqoop and Flume 
• Integrating Hadoop into an existing Enterprise 
• Loading Data from an RDBMS into HDFS by Using Sqoop 
• Managing Real-Time Data Using Flume 
• Accessing HDFS from Legacy Systems with FuseDFS and HttpFS 
• Introduction to Talend (community system) 
• Data loading to HDFS using Talend
 
8.	Data Analysis using PIG 
•	Introduction to Hadoop Data Analysis Tools 
•	Introduction to PIG - MapReduce Vs Pig, Pig Use Cases 
•	Pig Latin Program & Execution 
•	Pig Latin : Relational Operators, File Loaders, Group Operator, COGROUP Operator, Joins and COGROUP, Union, Diagnostic Operators, Pig UDF 
•	Use Pig to automate the design and implementation of MapReduce applications 
•	Data Analysis using PIG 
 
9. Data Analysis using HIVE
•	Introduction to Hive - Hive Vs. PIG - Hive Use Cases 
•	Discuss the Hive data storage principle 
•	Explain the File formats and Records formats supported by the Hive environment 
•	Perform operations with data in Hive 
•	Hive QL: Joining Tables, Dynamic Partitioning, Custom MapReduce Scripts 
•	Hive Script, Hive UDF 

@Goals InfoCloud we have intense processs for Trainer selection. 
we make sure that our trainers are capable of delivering world class training and preparing candidate for certification exam and industry ready.

we have pool of 400+ Trainers who are engaged in classroom training /online training/corporate workshops/live projects.
 
All our trainers are real time working professionals/architects/consulatants.

We have delivered more than 1200+ corporate trainings to our customers
located across Geography. 

All our trainers are globally certified experts in their respective technologies
and also flexible to help you anytime even after course completion.

We are an ISO 9001-2008 certified MNC. 
We are authorized business partners of EMC, NetApp, HP, Symantec, RedHat, Cisco & IBM, Authorized Exam Centre & fastest growing
IT organization.

We conduct 100% JOB Guarantee program for freshers & experienced candidates with Money Back Guarantee.

We have more than 1000+ openings with our customers exclusively for Goals Students for 2018.

Our students are placed in TCS, cognizant, wipro, BMC, Netglow solutions, 
HSBC, Berkleys Bank, HDFC bank, Accel frontline ltd, DCM data systems, 
Comau, Nihilent, Nipro, TriZetto, SLK technologies, IBM and many more…


Below are the features of our training program :
 
1. We are an MNC having presence in Canada, Singapore and India.
2. Our own Data center setup.
3. Latest Hardware and software.
4. Best training center for DevOps, BI, AI, IMS, Big Data Analytics, Machine Learning,
Programming Languages and Software Testing.
5. Best infrastructure Setup in industry.
6. Affordable fees for all training's.
7. Get free lifetime career support and consultation 
8. Get chance to work on live projects.
9. Excellent discounts for a group.
10. Unlimited access to data center 24*7*365 days.
11. we have a pool of 400+ trainers.
12. Get Course completion certificate

 

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