Big Data and Hadoop Training Course Online Training

£175.00

Price is per online user of this course.

Companies around the world today find it increasingly difficult to organize and manage large volumes of data. Hadoop has emerged as the most efficient data platform for companies working with big data, and is an integral part of storing, handling and retrieving enormous amounts of data in a variety of applications. Hadoop helps to run deep analytics which cannot be effectively handled by a database engine.

Big enterprises around the world have found Hadoop to be a game changer in their Big Data management, and as more companies embrace this powerful technology the demand for Hadoop Developers is also growing. By learning how to harness the power of Hadoop 2.0 to manipulate, analyse and perform computations on Big Data, you will be paving the way for an enriching and financially rewarding career as an expert Hadoop developer.

See below for further information.

 

Sold By: KnowledgeHut Solutions

Description


Course Overview

On completion of this course you will be able to:

  • Describe the path to ROI with Hadoop
  • Explain the Hadoop frameworks like ApachePig™, ApacheHive™, Sqoop, Flume, Oozie and other projects from the Apache Hadoop Ecosystem
  • Boost their career in the field of high-value analytics
  • Implement industry best practices for Hadoop development, debugging techniques and implementation of workflows and common algorithms
  • Retrieve a gold mine of information from unstructured data
  • Perform real-world data analysis using advanced Hadoop API topics
  • Retrieve information in concise and cost effective manner
  • Navigate, set up and run Hadoop command and queries
  • Process large data sets with the Hadoop ecosystem

Rating 4.5/5 179 ratings | 6891 students enrolled 6 audio-visual modules that cover all fundamentals of Hadoop 2.0
Mobile user friendly content
High quality e-learning content developed by industry experts
Free downloadable courseware
Simulations for easy understanding

Eligibility: There are no prerequisites to take this course but prior basic knowledge of Java and Linux will help.

Course Details

SECTION 1 : COURSE OVERVIEW

1 About BIG DATA HADOOP (2.0) DEVELOPMENT Course
2 Hadoop and Hadoop Ecosystem Course Objectives
3 What is Big Data?
4 Characteristics of Big Data
5 Next Logical Questions

SECTION 2 : HADOOP AND HADOOP ECOSYSTEM

1 What is Hadoop?
2 How Hadoop works?
3 How HDFS works
4 Example Program: Word Count
5 Shuffle and Start
6 Hadoop Job Process
7 Problems with Typical Distributed Systems
8 How Failures are handled
9 SQOOP
10 How Sqoop works
11 What is Oozie
12 How Oozie works
13 Oozie Example
14 What is Pig
15 Pig Example
16 What is Flume
17 How Flume works
18 How Flume works – Continued
19 What is Hive
20 Hive Example
21 HDFS Storage Mechanism
22 HDFS: Important Points
23 HDFS Closer Look: How files are stored
24 How files are written to HDFS
25 How files are written to HDFS
26 Few Examples
27 What is Mapper
28 How MapReduce works
29 A Note on Daemons
30 Quiz 1

SECTION 3 : PIG AND HIVE

1 Introduction to Pig and Hive
2 The Hive Data Model
3 Hive Basics
4 Pig Basics

SECTION 4 : ADVANCED MAP REDUCE

1 Advanced Map Reduce Overview
2 Testing with MR Unit
3 JUnit Basics – Continued
4 MRUnit: Example Code
5 MR Unit Drivers – Continued
6 The Configure Method
7 Passing Parameters
8 Accessing HDFS Programmatically
9 Using the Distributed Cache

SECTION 5 : CLUSTER PLANNING

1 Cluster Planning Overview
2 Planning your Hadoop Cluster
3 Network Considerations
4 Important Configurations
5 Hadoop Configs
6 Quick Summary of Configs
7 Quiz
8 Hands On Resource Download link

SECTION 6 : HANDS ON USING HADOOP 2.0

1 Getting Started
2 Installing Hadoop in a pseudo distributed mode
3 Accessing HDFS from command line
4 Running the Word Count Map Reduce Job
5 Mini Project: Importing MySQL Data using Sqoop and Querying it using Hive
6 Setting up FLUME
7 Setting up Multi-node Cluster

Discounts

10% discount for between 10 to 19 users purchased and 20% discount for 20 or more purchased.  For larger purchases, site licences, e-learning credits or to find out if discounts are available on mixed course purchases please phone a customer advisor on 0844 854 9218.

Discounts are calculated during the checkout process.

Payment Options

The most straight forward method of payment is to select the number of users you require and add the product to your shopping cart by selecting Add to Cart. You will then be able to make payment using most credit and debit cards or a Paypal account. If you would like to pay by BACs transfer or by invoice please contact a customer advisor on 0844 854 9218 or email [email protected]

Additional information

Subject

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guided-learning-hours

mobile-compatible

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