Big Data

Hadoop is an Apache project that provides free software for processing and storing large amounts of data. Big Data is distributed and fault-tolerantly stored using commodity hardware using Hadoop. Following that, Hadoop technologies are utilised to handle parallel data across HDPS (Hadoop Distributed File Systems).

Big Data & Hadoop specialists are in high demand as more businesses have grasped the advantages of big data analytics. Companies are searching for Big Data & Hadoop specialists with expertise in HDFS, MapReduce, Spark, HBase, Hive, Pig Oozie Sqoop & Flume best practices. With Future Finders’ online big data course, you can learn these abilities.

By giving you extensive hands-on training on the Hadoop Ecosystem, Future Finder’s Hadoop Training is created to turn you become a qualified Big Data practitioner. You will have the chance to work on a variety of big data projects thanks to this Hadoop Certification, which is the first step in your big data journey.

You may study everything about Hadoop architecture, HDFS, the Advanced Hadoop MapReduce framework, Apache Pig, Apache Hive, etc. with the aid of Edureka’s Big Data Course.

This Radoop training’s main goal is to make it easier for you to understand Hadoop’s intricate architecture and all of its components. To help you pass the Hadoop certification test, this Big Data Certification offers an in-depth understanding of Big Data and Hadoop Ecosystem technologies.

What Are The Goals Of Our Online Course On Big Data And Hadoop?

• Industry professionals created the Hadoop Certification to help you become a Certified Big Data Practitioner. The course on big data provides:
• Extensive familiarity with Hadoop, Big Data, and its components, including MapReduce, YARN, and the Hadoop Distributed File System
• Comprehensive understanding of the major Hadoop Ecosystem technologies, including Pig Hive, Sqoop, Flume, Oazie, and HBase
• The ability to examine such massive datasets stored in the HDFS and feed data into it using Sqoop & Flume
• The opportunity to work on several real-world, industry-based projects at Edureka’s CloudLab
• Projects using a wide range of data sets from a variety of industries, including banking, telecommunications, social media, insurance, and e-commerce

Course Content:

• Overview of Big Data
• This includes topics such as history of big data, its elements, career related knowledge, advantages, disadvantages and similar topics.
• Using Big Data in Businesses
• This module should focus on the application perspective of Big Data covering topics such as using big data in marketing, analytics, retail, hospitality, consumer good, defense etc.
• Technologies for Handling Big Data
• Big Data is primarily characterized by Hadoop. This module cover topics such as Introduction to Hadoop, functioning of Hadoop, Cloud computing (features, advantages, applications) etc
• Understanding Hadoop Ecosystem
• This includes learning about Hadoop and its ecosystem which includes HDFS, MapReduce, YARN, HBase, Hive, Pig, Sqoop, Zookeeper, Flume, Oozie etc.
• Dig Deep to understand the fundamental of MapReduce and HBase
• This module should cover the entire framework of MapReduce and uses of mapreduce.
• Understanding Big Data Technology Foundations
• This module covers the big data stack i.e. data source layer, ingestion layer, source layer, security layer, visualization layer, visualization approaches etc.
• Databases and Data Warehouses
• This module should cover all about databases, polygot persistence and their related introductory knowledge
• Using Hadoop to store data
• This includes an entire module of HDFS, HBase and their respective ways to store and manage data along with their commands.
• Learn to Process Data using Map Reduce
• This emphasizes on developing simple mapreduce framework and the concepts applied to it.
• Testing and Debugging Map Reduce Applications
• After the applications are developed, the next step is to test and debug it. This modules imparts this knowledge.
• Learn Hadoop YARN Architechture
• This module covers the background of YARN, advantages of YARN, working with YARN, backward compatibility with YARN, YARN Commands, log management etc.
• Exploring Hive
• This modules introduces you with all the necessary knowledge of Hive.
• Exploring Pig
• This modules introduces you with all the necessary knowledge of PIG.
• Exploring Oozie
• This modules introduces you with all the necessary knowledge of Oozie.
• Learn NoSQL Data Management
• This modules covers all about NoSQL including document databases, relationships, graph databases, schema less databases, CAP Theorem etc.
• Integrating R and Hadoop and Understanding Hive in Detail
• This module introduces you to RHadoop, ways to do text mining and related knowledge.