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Working with Hadoop

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Course type: Online Instructor led Course

Platform: Online Self-Paced Training

Course ID: 27895

Course type: Online Instructor led Course

Platform: Online Self-Paced Training

Students Interested 0 (Seats Left 0)

No Reviews Yet

About the Course

Work with Hadoop and its component tools with
• Detailed Understanding of the Hadoop ecosystem and its component tools
• Deep familiarity with the Hadoop data storage model
• MapReducing programming skills
• Understanding of the role of Hadoop in Analysing and processing Big Data Real time applications of Hadoop

Duration: Approx 40 Hours of training and lab, project approx 10 hours

Topics Covered

• Module 1: Introduction to Hadoop & HDFS
• Module 2: MapReduce basic
• Module 3: Advanced MapReduce
• Module 4: Hive data types and architecture
• Module 5: Pig
• Module 6: Hadoop Ecosystem
• Module 7: Advanced Hadoop
• Additional Lab activities- Installing Hadoop ecosystem

Who should attend

• Engineering or MCA students
• Graduates with programming background
• Software developers and professionals willing to foray into Big Data technology


• Basics of programming language
o Concepts of OOP
o Basics of scripting language, familiarity with PERL or RUBY would be an added advantage
o Fundamentals of probability
• Basics of Linux/Unix operating systems
• Understanding of programming with Java
o Core java
• Understanding of basic SQL statements

What you need to bring

• Laptop
• Notepad
• Pen"

Key Takeaways

Developed by key industry experts and leveraging the renowned Wiley knowledge repository, Working with Hadoop helps you to develop deep understanding of the most popular technology infrastructure for handling and processing Big Data–the Hadoop and its component tools such as Oozie, Pig and Zookeeper.

Date and Time

Not decided yet.

About the Trainer

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0 Students

6 Courses


Developed by key industry experts and leveraging the renowned Wiley knowledge repository

World class content developed by Wiley, leading digital solution providers for big data courses.


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