HDP Developer: Java (Hadoop), Republic of the Philippines

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This course provides Java programmers a deep-dive into Hadoop application development. Students will learn how to design and develop efficient and effective MapReduce applications for Hadoop using the Hortonworks Data Platform, including how to implement combiners, partitioners, secondary sorts, custom input and output formats, joining large datasets, unit testing, and developing UDFs for Pig and Hive. Labs are run on a 7-node HDP 2.1 cluster running in a virtual machine that students can keep for use after the training.

There are no prerequisites for this course.

Experienced Java software engineers who need to develop Java MapReduce applications for Hadoop.

At the completion of the course students will be able to:

Describe Hadoop 2.X and the Hadoop Distributed File System
Describe the YARN framework
Develop and run a Java MapReduce application on YARN
Use combiners and in-map aggregation
Write a custom partitioner to avoid data skew on reducers
Perform a secondary sort
Recognize use cases for built-in input and output formats
Write a custom MapReduce input and output format
Optimize a MapReduce job
Configure MapReduce to optimize mappers and reducers
Develop a custom RawComparator class
Distribute files as LocalResources
Describe and perform join techniques in Hadoop
Perform unit tests using the UnitMR API
Describe the basic architecture of HBase
Write an HBase MapReduce application
List use cases for Pig and Hive
Write a simple Pig script to explore and transform big data
Write a Pig UDF (User-Defined Function) in Java
Write a Hive UDF in Java
Use JobControl class to create a MapReduce workflow
Use Oozie to define and schedule workflows

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Upcoming Trainings

Join our public courses in our Republic of the Philippines facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

02 January 2025 (4 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

13 January 2025 (4 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

02 January 2025 (4 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

13 January 2025 (4 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

09 March 2025 (4 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

05 April 2025 (4 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

20 April 2025 (4 Days)
Quezon City, Manila, Davao City
Classroom / Virtual Classroom

HDP Developer: Java (Hadoop) Training Course in Philippines

The Philippines, officially the Republic of the Philippines, is an island country of Southeast Asia. The island country is located in the western Pacific Ocean, and consists of approximately 7.640 islands. And those islands are categorized under three main geographical divisions: Mindanao, Luzon and Visayas. Manila is the capital city of the Philippines and the resort island in the Western Visayas region, Boracay is one of the most popular vacation spots.

The climate of the Philippines is tropical and monsoonal. From May to October, rain-bearing winds blow from the southwest while drier winds come from the northeast from November to February. That's why the best time to visit the Philippines is during the dry season between November and April.

Discover a wealth of IT courses tailored to your needs, encompassing programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Let our experienced instructors guide you through hands-on training and offer valuable insights at any location of your preference within Philippines.

HDP Developer: Java (Hadoop) Training in Republic of the Philippines

Prerequisites

Who Should Attend

What You Will Learn

Upcoming Trainings