Big Data Hadoop Course
Hands-on Big Data Hadoop with Apache Hadoop, HDFS, MapReduce, YARN, Hive, Pig, Impala, and Scoop
Updated on Apr, 2024
Language - English
Lectures -90
Duration -11.5 hours
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Course Description
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.
Goals
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.
Prerequisites
What are the prerequisites for this course?
Basic knowledge of Java and Linux.
Curriculum
Check out the detailed breakdown of what’s inside the course
BIG DATA
15 Lectures
-
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
HADOOP
37 Lectures
MAP REDUCE
16 Lectures
YARN
2 Lectures
APACHE HIVE
5 Lectures
APACHE PIG
3 Lectures
IMPALA
6 Lectures
SQOOP
2 Lectures
ZOO KEEPER
3 Lectures
Instructor Details
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