Getting started with Big Data Hadoop

Big data is a collection of large datasets which cannot be processed using traditional techniques. Big data uses various tools and techniques to collect and process 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 companies to know the effectiveness of their marketing campaigns, promotions, and other advertising media
• Big data helps 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 operational efficiencies and reduces the risk to the business
• Big data handle 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 that is used for storing data of any type. It also helps in running applications on a group of hardware. Hadoop has the huge processing power and it can handle more tasks. Open-source software here means it is free to download and use. But there are also commercial versions of Hadoop which are 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 the Hadoop Course

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

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

Uses of Hadoop

Hadoop is used by many organizations 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

Disadvantages of Using Hadoop

The challenges faced by Hadoop are listed below

• MapReduce Programming does not suit all problems. Specially the creation of multiple files between MapReduce phases makes it inefficient for complex analytical computing
• Hadoop does not have easy-to-use tools for data management, data cleansing, and metadata
• Another great challenge that Hadoop faces is data security

Big Data and Hadoop Course Objectives

By the end of this Hadoop course, you will be able to

• Learn the concepts of Hadoop and Big Data
• Perform Data Analytics using Hadoop
• Master the concepts of the Hadoop framework
• Get experience with different configurations of the Hadoop cluster
• Work with real-time projects using Hadoop