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The availability of large data sets presents new opportunities and challenges to organizations of all sizes. In this course, you will implement a strategy for developing Hadoop jobs and extracting business value from large and varied data sets. This Apache Hadoop development training is essential for programmers who want to augment their programming skills to use Hadoop for a variety of big data solutions.
Meeting the challenges of parallel programming
Parallel programming with MapReduce
Applying the Hadoop MapReduce paradigm
Building complex MapReduce jobs
Solving common data manipulation problems
Implementing partitioners and comparators
Making the case for distributed data
Interfacing with Hadoop Distributed File System (HDFS)
Structuring data with HBase
Unleashing the power of SQL with Hive
Executing workflows with Pig
Testing and debugging Hadoop code
Deploying, monitoring and tuning performance
Course Tuition Includes:
After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.
After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
Free Course Exam
You can take your Learning Tree course exam on the last day of your course or online any time after class.
Standard Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm