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Supercharge your data with Apache Spark, a big data platform well-suited for iterative algorithms required by graph analytics and machine learning. In this training course, you will learn to leverage Spark best practices, develop solutions that run on the Apache Spark platform, and take advantage of Spark’s efficient use of memory and powerful programming model.
Designing parallel algorithms
Parallelizing data structures
The anatomy of a Spark cluster
Managing the cluster
Selecting the development environment
Working with the Spark APIs
Querying structured data
Integrating with external systems
What is streaming?
Streaming data sources
Building Spark-based business applications
Spark as a service
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