Introduction to Big Data & Hadoop Ecosystem

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Blismos Academy

4:39:59

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1 - THE INTRODUCTION AND FUNDAMENTALS

1 - Data VS Information.mp4

08:50

2 - Data Storage and Processing.mp4

08:50

3 - Data Sources.mp4

07:59

4 - Big Data Introduction.mp4

12:12

2 - THE FOUNDATIONS OF BIG DATA

5 - Emergence of Big Data.mp4

05:52

6 - Basic Terminologies.mp4

04:50

7 - Central theme of Big Data.mp4

08:06

8 - Requirements of Programming Model.mp4

13:20

9 - Understand Distributed Processing through a Story.mp4

06:05

3 - ENVIRONMENT AND INSTALLATION

10 - OracleVirtualMachineInstallation.mp4

03:18

11 - How to install Ubuntu operating system on Virtual Box.mp4

07:18

12 - How to Setup Google Cloud Platform.mp4

13:07

4 - HADOOP ECOSYSTEM

13 - Introduction to Hadoop Ecosystem.mp4

12:57

5 - HADOOP DISTRIBUTED FILE SYSTEM

14 - What is HDFS.mp4

08:50

15 - Nodes in HDFS.mp4

07:23

16 - Storing Files in HDFS.mp4

14:15

17 - Reading File from HDFS.mp4

05:02

18 - Challenges in Distributed Systems.mp4

05:43

19 - Managing the Data Node Failure.mp4

17:00

20 - Managing Name Node Failure.mp4

10:56

21 - HDFS Commands Part 1.mp4

11:29

22 - HDFS Commands Part 2.mp4

07:25

6 - MAP REDUCE

23 - Introduction to Map Reduce.mp4

09:12

24 - Map Reduce Flow Example 1.mp4

08:18

25 - Map Reduce Implementation.mp4

05:18

26 - Map Reduce Example 2 User View Count.mp4

08:19

27 - Map Reduce Mappers and Reducers.mp4

12:19

28 - ShuffleSortPartitions.mp4

12:32

29 - Map Reduce Combiners.mp4

11:31

30 - Combiner with Caution.mp4

09:27

31 - Map Reduce Wrap Up.mp4

02:16

Description

HDFS-Map Reduce

What You'll Learn?

Learners will develop a understanding of Big Data concepts, as well as the fundamental principles of the Hadoop ecosystem
Learners will have the opportunity to gain hands-on experience with HDFS commands on the Google Cloud Platform.
Learners will acquire knowledge and understanding of MapReduce
Learners will understand the learning about Hadoop architecture and core components, such as the Hadoop Distributed File System (HDFS)

Who is this for?

Beginners who are interested in starting their journey in Big Data

Professionals who are considering a career in Big Data and individuals seeking knowledge in Big Data, specifically in the areas of Hadoop and HDFS

What You Need to Know?

No programming language proficiency is necessary

Having a reliable internet connection and a strong desire to learn are essential prerequisites.

More details

Description
This course provides in-depth coverage of essential topics related to Big Data and the Hadoop Ecosystem. It is highly recommended for individuals working in the IT industry, as well as aspiring Big Data professionals. The course encompasses a wide range of subjects, including an introduction to Big Data, the fundamentals of Big Data, the foundations of Big Data and the Hadoop Ecosystem, the Hadoop Distributed File System (HDFS), and MapReduce. By completing this course, learners will gain a solid understanding of these critical concepts and technologies, empowering them to excel in the field of Big Data. In this course, the primary focus is on teaching learners the skills and knowledge required to effectively work with the Big Data Hadoop ecosystem. Specifically, the course covers the following key topics:

Hadoop Fundamentals:
Learners will gain knowledge about the core concepts and architecture of Hadoop, including its distributed file system (HDFS) and the MapReduce processing framework.

Hadoop Ecosystem Tools:
The course delves into various tools and components of the Hadoop ecosystem, such as Hive, Pig, Spark, HBase, Sqoop, Flume, and Oozie. Learners will develop an understanding of these tools and their functionalities.

MapReduce:
Learners will also learn about scaling, fault tolerance, data storage and processing, the programming model, different types of nodes and their failures, and gain a brief understanding of the Hadoop Ecosystem.
Who this course is for:
Beginners who are interested in starting their journey in Big Data
Professionals who are considering a career in Big Data and individuals seeking knowledge in Big Data, specifically in the areas of Hadoop and HDFS

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Practitioners of Big Data and related technologiesTeam has over two decades of experience in the industryPassionate in dealing with data and providing IT solutionsWe believe in continuous learningEnjoy spreading the knowledge through Training, Workshops, Internships and Projects assignmentsOur Solution provides support and expertise advice that is presented for consideration and decision-making in Big Data Technologies

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