Hands-on HADOOP Masterclass - Tame the Big Data!

Hands-on HADOOP Masterclass - Tame the Big Data!

Requirements

• Basic Computer Knowledge
• Basic knowledge of Java and SQL will serve as an added advantage
• No prior knowledge is required. The course starts from scratch and will go to an advanced level with different projects
• There are no special skills needed to take this Hadoop course

Description

Learn from well crafted study materials on Big Data, Hadoop, MapReduce, HDFS, HIVE, PIG, Mahout, NoSQL, Oozie, Flume, Storm, Avro, Spark, Sqoop, Cloudera, Data Analysis, Survey Analysis, Data Management, Sales Analysis, salary Analysis, Traffic Analysis, Loan Analysis, Log Data Analysis, Youtube Data Analysis, Sensor Data Analysis. Learn by doing. Learn from hands-on examples of analyzing big data. Turn your Crafting ability which can be a mixed bag ranging from developers to data scientists using procedural languages in the Hadoop space. Discover and learn the fundamentals of Hadoop. Be a person comfortable in managing the development and deployment of Hadoop applications.

What is Big Data

Big data is a collection of large datasets which cannot be processed using the traditional techniques. Big data uses various tools and techniques to collect and process the data. Big data deals with all types of data including structured, semi-structured and unstructured data. Big data is used in various fields data like

• Black box data
• Social media data
• Stock exchange data
• Power Grid Data
• Transport Data
• Search Engine Data

Benefits of Big Data

Big data has become very important and it is emerging as one of the crucial technologies in today’s world. The benefits of big data are listed below

Big data can be used by the companies to know the effectiveness of their marketing campaigns, promotions and other advertising media

Big data helps the companies to plan their production

Using the information provided through Big data companies can deliver better and quick service to their customers

Big data helps in better decision making in the companies which will increase the operational efficiencies and reduces the risk of the business

Big data handles huge volume of data in real time and thus enables data privacy and security to a great extent

Challenges faced by Big Data

The major challenges of big data are as follows

• Curation
• Storage
• Searching
• Transfer
• Analysis
• Presentation

What is Hadoop

Hadoop is an open source software framework which is used for storing data of any type. It also helps in running applications on group of hardware. Hadoop has huge processing power and it can handle more number of tasks. Open source software here means it is free to download and use. But there are also commercial versions of Hadoop which is becoming available in the market. There are four basic components of Hadoop – Hadoop Common, Hadoop Distributed File System (HDFS), MapReduce and Yet Another Resource Negotiator (YARN).

Benefits of Hadoop Course

Hadoop is used by most of the organizations because of its ability to store and process huge amount of any type of data. The other benefits of Hadoop includes

• Computing Power
• Flexibility
• Fault Tolerance
• Low Cost
• Scalability

Uses of Hadoop

Hadoop is used by many of the organization’s today because of its following uses

Low cost storage and active data archive

Staging area for a data warehouse and analytics store

Data lake

Sandbox for discovery and analysis

Recommendation Systems

Who is the target audience?

• Software developers and Architects
• Analytics Professionals
• Anyone who is interested in pursuing his career in Big data analytics
• Data Management Professionals
• Business Intelligence Professionals
• Testing Professionals
• Data Scientists
• Data analysts/developers
• Anyone who wants to learn about application of Hadoop

Course content

Big Data and Hadoop Training Introduction: 14 lectures: 01:38:40

Hadoop Architecture and HDFS: 48 lectures: 06:14:11

MapReduce Fundamentals: 23 lectures: 02:59:07

MapReduce Advanced: 30 lectures: 05:00:20

HIVE Fundamentals: 22 lectures: 02:35:31

Hive Advanced: 50 lectures: 05:05:59

PIG Fundamentals: 18 lectures: 02:08:43

PIG Advanced: 12 lectures: 01:44:14

NoSQL Fundamentals: 16 lectures: 02:02:13

Apache Mahout: 25 lectures: 03:32:58

Apache Oozie: 14 lectures: 01:51:33

Apache Flume: 3 lectures: 20:33

Apache Storm: 21 lectures: 01:40:22

Apache Avro: 3 lectures: 26:56

Apache Spark Fundamentals: 11 lectures: 01:31:00

Apache Spark Advanced: 36 lectures: 04:52:04

Hadoop Project 01 - Sales Data Analysis: 6 lectures: 47:43

Hadoop Project 02 - Tourism Survey Analysis: 7 lectures: 54:56

Hadoop Project 03 - Faculty Data Management- 5 lectures-35:54

Hadoop Project 04 - E-Commerce Sales Analysis: 5 lectures: 36:23

Hadoop Project 05 - Salary Analysis: 7 lectures: 49:47

Hadoop Project 06 - Health Survey Analysis using HDFS: 7 lectures: 57:31

Hadoop Project:07 - Traffic Violation Analysis: 9 lectures: 01:16:48

Hadoop Project 08 - PIG/MapReduce - Analyze Loan Dataset: 19 lectures: 02:22:26

Hadoop Project:09 - HIVE - Case Study on Telecom Industry: 14 lectures: 01:38:07

Hadoop Project:10 - HIVE/MapReduce - Customers Complaints Analysis: 7 lectures: 53:15

Hadoop Project 11 - HIVE/PIG/MapReduce/Sqoop - Social Media Analysis: 23 lectures: 03:22:11

Hadoop Project 12 - HIVE/PIG - Sensor Data Analysis: 27 lectures: 03:54:23

Hadoop Project 13 - PIG/MapReduce - Youtube Data Analysis: 21 lectures: 03:04:01

Hadoop and HDFS Fundamentals on Cloudera: 12 lectures: 01:15:32

Log Data Analysis with Hadoop: 10 lectures: 01:22:14

Size: 28.38 GB

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https://www.udemy.com/hands-on-hadoop-masterclass-tame-the-big-data/