Hadoop for Java Developers
Course Description
The course is designed to be accessible to anyone with a reasonable knowledge of basic Java. You will need to be able to write classes and create objects. Our Java Fundamentals course covers all the Java knowledge you need for this course.
This Hadoop Training course is the easiest and quickest way to learn to program using the Map-Reduce programming model. If you are a Java developer looking to learn how to design and build big-data applications, this course will both get you up and running quickly, and provide you with the core skills to produce production-quality functioning applications. The course contains approx. 13 hours of video tutorials, together with guidance notes and lots of sample code. Two real world case studies and processing sizeable amounts of data as you progress through the training material. All the software you will need is either included or we’ll show you where you can download it. The tutorials cover how to install and configure Hadoop for a typical development environment – all you need to get started with the training is a working computer capable of running Java, the Eclipse IDE and watching videos.
Important note for Windows users: Hadoop is difficult to install on Windows, so in the course we show you to how set up a virtual machine running Linux. No prior knowledge of Linux is needed.
Course Curriculum
Chapter 1.Welcome | |||
1. Welcome | 00:09:22 | ||
Chapter 2.Introducing Hadoop | |||
2. Introducing Hadoop | 00:16:12 | ||
Chapter 3.The map-reduce programming model | |||
3. The map-reduce programming model | 00:20:45 | ||
The map-reduce programming model_Working files | 00:00:00 | ||
Chapter 4.Operating modes & installation environment | |||
4. Operating modes & installation environment | 00:25:10 | ||
5 Installing Hadoop | |||
5. Installing Hadoop | 00:40:00 | ||
Installing Hadoop_Working files | 00:00:00 | ||
Chapter 6.Writing our first map-reduce job | |||
6. Writing our first map-reduce job | 00:52:36 | ||
Writing our first map-reduce job_Working files | 00:00:00 | ||
7 HDFS | |||
7. HDFS | 00:24:49 | ||
HDFS_Working files | 00:00:00 | ||
Chapter 8.Running in Pseudo-Distributed Mode | |||
8. Running in Pseudo-Distributed Mode | 00:11:26 | ||
Chapter 9.Map-reduce process flow 1 | |||
9. Map-reduce process flow 1 | 00:40:36 | ||
Map-reduce process flow 1_Working files | 00:00:00 | ||
Chapter 10.Map-reduce process flow 2 | |||
10. Map-reduce process flow 2 | 00:14:38 | ||
Map-reduce process flow 2_Working files | 00:00:00 | ||
Chapter 11.Enhancing Map and Reduce | |||
11. Enhancing Map and Reduce | 00:23:41 | ||
Enhancing Map and Reduce_Working files | 00:00:00 | ||
Chapter 12.Job Configuration | |||
12. Job Configuration | 00:25:11 | ||
Job Configuration_Working files | 00:00:00 | ||
Chapter 13.Case Study 1 - Part 1 | |||
13. Case Study 1 – Part 1 | 00:53:08 | ||
Case Study 1 – Part 1_Working files | 00:00:00 | ||
Chapter 14.Case Study 1 - Part 2 | |||
14. Case Study 1 – Part 2 | 00:09:16 | ||
Chapter 15.Case Study 1 - Part 3 | |||
15. Case Study 1 – Part 3 | 00:09:13 | ||
Case Study 1 – Part 3_Working files | 00:00:00 | ||
Chapter 16.Chaining Multiple Map-Reduce Jobs | |||
16. Chaining Multiple Map-Reduce Jobs | 00:27:27 | ||
Chaining Multiple Map-Reduce Jobs_Working files | 00:00:00 | ||
Chapter 17.Pre and Post Processing | |||
17. Pre and Post Processing | 00:47:39 | ||
Pre and Post Processing_Working files | 00:00:00 | ||
Chapter 18.Optimising Map-Reduce jobs | |||
18. Optimising Map-Reduce jobs | 00:29:46 | ||
Optimising Map-Reduce jobs_Working files | 00:00:00 | ||
Chapter 19.Log Files & Counters | |||
19. Log Files & Counters | 00:36:28 | ||
Log Files & Counters_Working files | 00:00:00 | ||
20 Working with relational databases | |||
20. Working with relational databases | 00:56:11 | ||
Working with relational databases_Working files | 00:00:00 | ||
Chapter 21.Unit testing | |||
21. Unit testing | 00:40:56 | ||
Unit testing_Working files | 00:00:00 | ||
Chapter 22.Secondary Sorting | |||
22. Secondary Sorting | 00:36:11 | ||
Secondary Sorting_Working files | 00:00:00 | ||
Chapter 23.Joining data | |||
23. Joining data | 00:51:56 | ||
Joining data_Working files | 00:00:00 | ||
Chapter 24.Using Amazon Elastic Map Reduce | |||
24. Using Amazon Elastic Map Reduce | 00:40:38 | ||
Chapter 25.Case Study 2 | |||
25. Case Study 2 | 00:42:45 | ||
Case Study 2_Working files | 00:00:00 | ||
26 Course Summary | |||
26 Course Summary | 14:47:00 |
Course Reviews
No Reviews found for this course.