Big Data Hadoop Course
Hands-on Big Data Hadoop with Apache Hadoop, HDFS, MapReduce, YARN, Hive, Pig, Impala, and Scoop
Updated on Nov, 2023
Language - English
Duration -11.5 hours
The Big Data Hadoop Course will teach you how to use Hadoop to store, process, and analyze large datasets. You will learn the fundamentals of Hadoop and big data and gain hands-on experience using real-world examples.
Big Data Hadoop Course Overview
This course is a comprehensive introduction to Hadoop and big data. The course begins with an introduction to big data, its characteristics, and its potential applications. You will then learn about the Hadoop ecosystem, including HDFS, MapReduce, YARN, Hive, Pig, Impala, and Scoop.
You will learn how to use these technologies to store, process, and analyze large datasets. The course is packed with practical exercises and projects to help you apply your knowledge. Upon completion of the course, you will be able to use Hadoop to solve real-world big data problems.
What will you learn in this course:
Master the fundamentals of Hadoop and big data.
Develop skills in using Hadoop to store, process, and analyze large datasets.
Prepare for a career in big data.
Use Hadoop to store and process large datasets.
Use MapReduce to parallelize data processing.
Use YARN to manage Hadoop resources.
Use Hive to query Hadoop data.
Use Pig to write MapReduce programs in a more concise way.
Use Impala to query Hadoop data using SQL.
Use Scoop to transfer data between Hadoop and other systems.
What are the prerequisites for this course?
Basic knowledge of Java and Linux.
Check out the detailed breakdown of what’s inside the course
- Big data introduction new 17:36 17:36
- Data types 08:10 08:10
- Big data concept 12:37 12:37
- Big data concept 2 12:26 12:26
- Big Data benefits part 1 10:26 10:26
- Big Data benefits part 2 07:02 07:02
- Data storage & analysis 13:34 13:34
- Querying data 08:31 08:31
- Grid computing 10:13 10:13
- Query a public dataset 02:47 02:47
- Creating a dataset 03:17 03:17
- Querying a table 02:56 02:56
- Big table instance 03:31 03:31
- Pub-sub 01:55 01:55
- Big data intro 09:45 09:45
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