Hadoop Tutorial For Beginners | Hadoop Crash Course | Learn Hadoop From Scratch | Simplilearn

Hadoop Tutorial For Beginners | Hadoop Crash Course | Learn Hadoop From Scratch | Simplilearn

Big data is a field that has become immensely popular in the last decade. With vast amounts of data getting generated every second, companies are now looking for technologies to handle it efficiently. In this crash course video, you will learn a widely used big data technology, i.e., Hadoop and the different tools and frameworks. You will understand the various components of Hadoop, such as HDFS, MapReduce, and YARN. You will then learn about Sqoop, HBase, Hive, and Pig in detail, along with a hands-on demo for each of these tools. So, let’s get started.

00:00:00 Big data basics
00:04:55 Cloudera Hadoop installation
00:25:06 Hadoop ecosystem
00:25:25 Why Hadoop
00:32:24 What is Hadoop
00:37:28 Hadoop HDFC
01:03:20 What is MapReduce
01:11:45 What is YARN
01:41:06 Demo on HDFC, MapReduce and YARN
02:11:53 What is Sqoop
02:11:33 Sqoop Import
02:16:30 Demo on sqoop
02:36:24 Flume
02:37:55 What is Pig
02:39:54 Demo on pig
02:53:54 Hive
02:55:37 Demo on HiveQL
03:20:15 Spark
03:31:50 Introduction to HBase
03:47:19 Demo on HBase

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Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.

What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.

What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
12. Implement and build Spark applications
13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques
14. Understand the common use-cases of Spark and the various interactive algorithms
15. Learn Spark SQL, creating, transforming, and querying Data frames

Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists

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