Mastering Big Data and Hadoop from Scratch

What’s included
$14.99 / $24.99
Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.
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Video Courses
Introduction to Big Data and Hadoop
Lectures | Duration |
---|---|
1. What is Big Data? | 5m 23s |
2. Classification of Big Data. | 1m 23s |
3. Characteristics of Big Data. | 43s |
4. Challenges Associated with Big Data. | 46s |
5. Traditional Approach of Storing and Processing Big Data. | 2m 3s |
6. What is Hadoop? | 2m 39s |
7. Features of Hadoop. | 6m 5s |
8. How Hadoop Works? | 3m 18s |
9. What is Hadoop EcoSystem? | 2m 25s |
1. What is Big Data?
5m 23s
2. Classification of Big Data.
1m 23s
3. Characteristics of Big Data.
43s
4. Challenges Associated with Big Data.
46s
5. Traditional Approach of Storing and Processing Big Data.
2m 3s
6. What is Hadoop?
2m 39s
7. Features of Hadoop.
6m 5s
8. How Hadoop Works?
3m 18s
9. What is Hadoop EcoSystem?
2m 25s
Exploring HDFS
Lectures | Duration |
---|---|
1. What is HDFS? | 2m 51s |
2. HDFS Daemons: NameNode and DataNode Explained. | 3m 8s |
3. HDFS Daemons: Secondary NameNode Explained. | 2m 13s |
4. How HDFS Manages FileSystem MetaData? | 2m 12s |
5. Reading Data from HDFS. | 2m 48s |
6. Writing Data to HDFS. | 3m 8s |
7. What is Rack Awareness? | 2m 8s |
8. NameNode Federation Explained. | 1m 33s |
1. What is HDFS?
2m 51s
2. HDFS Daemons: NameNode and DataNode Explained.
3m 8s
3. HDFS Daemons: Secondary NameNode Explained.
2m 13s
4. How HDFS Manages FileSystem MetaData?
2m 12s
5. Reading Data from HDFS.
2m 48s
6. Writing Data to HDFS.
3m 8s
7. What is Rack Awareness?
2m 8s
8. NameNode Federation Explained.
1m 33s
Exploring MapReduce
Lectures | Duration |
---|---|
1. What is MapReduce? | 49s |
2. MapReduce Daemons JobTracker and TaskTracker Explained. | 3m 52s |
3. What is YARN? | 1m 56s |
1. What is MapReduce?
49s
2. MapReduce Daemons JobTracker and TaskTracker Explained.
3m 52s
3. What is YARN?
1m 56s
Understanding MapReduce Programming Framework
Lectures | Duration |
---|---|
1. How MapReduce Works? | 1m 9s |
2. What is Key / Value Pair? | 1m 18s |
3. Hadoop Java API’s Explained. | 5m 5s |
1. How MapReduce Works?
1m 9s
2. What is Key / Value Pair?
1m 18s
3. Hadoop Java API’s Explained.
5m 5s
Installing a Single Node, Pseudo Hadoop Cluster on a Local Machine
Lectures | Duration |
---|---|
1. Understanding Hadoop Operating Modes. | 1m 59s |
2. Creating a Virtual Machine in VMWare. | 3m 28s |
3. Downloading Linux. | 1m 46s |
4. Installing Linux. | 16m 53s |
5. Configuring Linux. | 7m 3s |
6. Downloading and Installing Hadoop. | 4m 31s |
7. Configuring Hadoop and Starting Up the Hadoop Cluster. | 9m 53s |
1. Understanding Hadoop Operating Modes.
1m 59s
2. Creating a Virtual Machine in VMWare.
3m 28s
3. Downloading Linux.
1m 46s
4. Installing Linux.
16m 53s
5. Configuring Linux.
7m 3s
6. Downloading and Installing Hadoop.
4m 31s
7. Configuring Hadoop and Starting Up the Hadoop Cluster.
9m 53s
Installing a Multi Node, Fully Distributed, Hadoop Cluster on a Local Machine
Lectures | Duration |
---|---|
1. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 1 | 6m 44s |
2. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 2 | 3m 41s |
3. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 3 | 9m |
4. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 4 | 12m 29s |
1. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 1
6m 44s
2. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 2
3m 41s
3. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 3
9m
4. Setting up a MultiNode Apache Hadoop Cluster on Local Machine Part 4
12m 29s
Amazon EC2 Basics
Lectures | Duration |
---|---|
1. Setting Up and Connecting to an Amazon EC2 Instance. | 10m 15s |
1. Setting Up and Connecting to an Amazon EC2 Instance.
10m 15s
Maintaining a Hadoop Cluster
Lectures | Duration |
---|---|
1. Finding Data for Practice. | 5m 28s |
2. Starting and Stopping Hadoop Daemons. | 8m 35s |
3. Adding a Node to the Cluster. | 12m 50s |
4. Removing a Node from the Cluster. | 2m 42s |
5. Checking the Hadoop Distributed File System. | 2m 50s |
6. Exploring Commands in Hadoop. | 4m 51s |
7. Adding a TaskTracker. | 12m 50s |
8. Removing a TaskTracker. | 2m 42s |
9. Importing Data into HDFS. | 1m 48s |
10. Exporting Data out of HDFS. | 2m 4s |
11. Copying Data Using DistCP. | 2m 48s |
12. Balancing a DataNode. | 3m 35s |
13. Turning On & Turning Off SafeMode. | 2m 28s |
1. Finding Data for Practice.
5m 28s
2. Starting and Stopping Hadoop Daemons.
8m 35s
3. Adding a Node to the Cluster.
12m 50s
4. Removing a Node from the Cluster.
2m 42s
5. Checking the Hadoop Distributed File System.
2m 50s
6. Exploring Commands in Hadoop.
4m 51s
7. Adding a TaskTracker.
12m 50s
8. Removing a TaskTracker.
2m 42s
9. Importing Data into HDFS.
1m 48s
10. Exporting Data out of HDFS.
2m 4s
11. Copying Data Using DistCP.
2m 48s
12. Balancing a DataNode.
3m 35s
13. Turning On & Turning Off SafeMode.
2m 28s
Programming with MapReduce
Lectures | Duration |
---|---|
1. Setting Up Development Environment. | 2m 47s |
1. Setting Up Development Environment.
2m 47s