Hadoop Training

info@identityskills.com +91 96308 72061 +91-9630872061

You are here:
Home
Hadoop Training

What is Hadoop?

Hadoop is an open-source software framework for distributed storage and processing. It is composed of a number of independent projects, each focused on different functionalities. Hadoop provides tools that enable you to store and process large amounts of data across many computers in a scalable manner.

This makes Hadoop ideal for analyzing streaming data such as sensor data or financial transactions, as well as supporting storage needs for other applications. Hadoop also includes other components such as Hive, Pig, Sqoop, and Oozie. These components can be used together to create complex data processing applications

What Identity Skills offers?

Our Hadoop Training program is designed to provide you with the best possible training on how to work with the Hadoop framework. We have an excellent team of experts who are able to teach you all the essential skills required to use this powerful open-source toolkit.

Our curriculum features interactive case studies, hands-on labs, and demo environments to ensure that you can apply what you learn in the classroom. In addition to the basic knowledge about Hadoop, we teach students how to implement it at their own organizations.

Our instructor team has made sure that the syllabus is clear and understandable for an average user as well as for an expert.
Hadoop is one of the most popular technologies in the world, and it’s used by many organizations all over the world.
This course will teach you everything you need to know about Apache Hadoop and how to use it effectively in your own projects.
You will learn how to set up a cluster on Linux or Windows using local storage or cloud computing resources.
The training program will provide you with the best learning experience and help you to get a job in the emerging field of big data.

Web Analytics
Sentiment Analysis
Crime Analysis
Ingest Sakila film database using Sqoop
Processing Movielens dataset using Pig

Frequently Asked Questions

HOW DO I ENROLL?

Please get in touch with us or call us at 9931297975

I’M A BEGINNER IN THE IT FIELD, WHAT DO I NEED TO KNOW BEFORE I CAN START LEARNING THIS COURSE?

There are no Pre-requisites to start learning CyberArk. Our trainers will start explaining from very basics and make things simpler for you to understand

DO I HAVE A FLEXIBILITY ON TIMING?

Yes, you tell us the timings you are most comfortable at and we’ll schedule the sessions based on that.

DO I GET A PRACTICAL HANDS-ON?

Yes, you get 5 Virtual machines hosted on cloud with required software copied along with detailed lab user guides.

WHAT IF I HAVE ANY QUERIES OR IF I’M STUCK WITH THE LABS.

Our trainers and support are available 24/7 for you. You can reach out to us anytime and we’ll help you with your issues.

DO I GET CERTIFICATION ASSISTANCE?

Yes, Certification Assistance is a part of this course. Our trainers will guide you with the requirements and preparations for certification exams.

CAN TRAINERS HELP ME WITH INTERVIEW PREPARATION?

Yes, We conduct a few mock sessions and provide feedback that can help you understand the interview process.

Support After Course Completion

RESUME BUILDING

MOCK INTERVIEWS

CAREER GUIDANCE

COMMUNITY SUPPORT

LIFETIME ACCESS TO STUDY MATERIALS

Course Curriculam

Module-1 Introduction Preview

1.1 Big Data Introduction

1.2 Distributed systems

1.3 Big Data Use Cases

1.4 Various Solutions

1.5 Overview of Hadoop Ecosystem

1.6 Spark Ecosystem Walkthrough

1.7 Quiz

Module-2 Foundation & Environment Preview

2.1 Understanding the CloudxLab

2.2 Getting Started – Hands on

2.3 Hadoop & Spark Hands-on

2.4 Quiz and Assessment

2.5 Basics of Linux – Quick Hands-On

2.6 Understanding Regular Expressions

2.7 Quiz and Assessment

2.8 Setting up VM (optional)

Module-3 Zookeeper Preview

3.1 ZooKeeper – Race Condition

3.2 ZooKeeper – Deadlock

3.3 Hands-On

3.4 Quiz & Assessment

3.5 How does election happen – Paxos Algorithm?

3.6 Use cases

3.7 When not to use

3.8 Quiz & Assessment

Module-4 HDFS Preview

4.1 Why HDFS or Why not existing file systems?

4.2 HDFS – NameNode & DataNodes

4.3 Quiz

4.4 Advance HDFS Concepts (HA, Federation)

4.5 Quiz

4.6 Hands-on with HDFS (Upload, Download, SetRep)

4.7 Quiz & Assessment

4.8 Data Locality (Rack Awareness)

Module-5 YARN Preview

5.1 YARN – Why not existing tools?

5.2 YARN – Evolution from MapReduce 1.0

5.3 Resource Management: YARN Architecture

5.4 Advance Concepts – Speculative Execution

5.5 Quiz

Module-6 MapReduce Basics Preview

6.1 MapReduce – Understanding Sorting

6.2 MapReduce – Overview

6.3 Quiz

6.4 Example 0 – Word Frequency Problem – Without MR

6.5 Example 1 – Only Mapper – Image Resizing

6.6 Example 2 – Word Frequency Problem

6.7 Example 3 – Temperature Problem

6.8 Example 4 – Multiple Reducer

6.9 Example 5 – Java MapReduce Walkthrough

6.10 Quiz

Module-7 MapReduce Advanced Preview

7.1 Writing MapReduce Code Using Java

7.2 Building MapReduce project using Apache Ant

7.3 Concept – Associative & Commutative

7.4 Quiz

7.5 Example 8 – Combiner

7.6 Example 9 – Hadoop Streaming

7.7 Example 10 – Adv. Problem Solving – Anagrams

7.8 Example 11 – Adv. Problem Solving – Same DNA

7.9 Example 12 – Adv. Problem Solving – Similar DNA

7.10 Example 12 – Joins – Voting

7.11 Limitations of MapReduce

7.12 Quiz

Module-8 Analyzing Data with Pig Preview

8.1 Pig – Introduction

8.2 Pig – Modes

8.3 Getting Started

8.4 Example – NYSE Stock Exchange

8.5 Concept – Lazy Evaluation

Module-9 Processing Data with Hive Preview

9.1 Hive – Introduction

9.2 Hive – Data Types

9.3 Getting Started

9.4 Loading Data in Hive (Tables)

9.5 Example: Movielens Data Processing

9.6 Advance Concepts: Views

9.7 Connecting Tableau and HiveServer 2

9.8 Connecting Microsoft Excel and HiveServer 2

9.9 Project: Sentiment Analyses of Twitter Data

9.10 Advanced – Partition Tables

9.11 Understanding HCatalog & Impala

9.12 Quiz

Module-10 NoSQL and HBase Preview

10.1 NoSQL – Scaling Out / Up

10.2 NoSQL – ACID Properties and RDBMS Story

10.3 CAP Theorem

10.4 HBase Architecture – Region Servers etc

10.5 Hbase Data Model – Column Family Orientedness

10.6 Getting Started – Create table, Adding Data

10.7 Adv Example – Google Links Storage

10.8 Concept – Bloom Filter

10.9 Comparison of NOSQL Databases

10.10 Quiz

Module-11 Importing Data with Sqoop and Flume, Oozie Preview

11.1 Sqoop – Introduction

11.2 Sqoop Import – MySQL to HDFS

11.3 Exporting to MySQL from HDFS

11.4 Concept – Unbounding Dataset Processing or Stream Processing

11.5 Flume Overview: Agents – Source, Sink, Channel

11.6 Example 1 – Data from Local network service into HDFS

11.7 Example 2 – Extracting Twitter Data

11.8 Quiz

11.9 Example 3 – Creating workflow with Oozie