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
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An experienced training advisor will happily answer any questions you may have and alert you to any tuition savings to
which you or your organization may be entitled.
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
FREE Online Course Exam (if applicable) – Last Day: 3:30 pm – 4:30 pm
By successfully completing your FREE online course exam, you will: