Cloudera University's three-day Spark course enables participants to build complete, unified Big Data applications combining batch, streaming, and interactive analytics on all their data. With Spark, developers can write sophisticated parallel applications for faster business decisions and better user outcomes, applied to a wide variety of use cases, architectures, and industries. This course is part of the developer learning path.
Advance Your Ecosystem Expertise
Apache Spark is the next-generation successor to MapReduce. Spark is a powerful, open-source processing engine for data in the Hadoop cluster, optimized for speed, ease of use, and advanced analytics. The Spark framework supports streaming data processing and complex, iterative algorithms, enabling applications to run up to 100x faster than traditional Hadoop MapReduce programs.
Through instructor-led discussion and interactive, hands-on exercises, participants will navigate the Hadoop ecosystem, learning topics such as:
- Using the Spark shell for interactive data analysis
- The features of Spark’s Resilient Distributed Datasets
- How Spark runs on a cluster
- Parallel programming with Spark
- Writing Spark applications
- Processing streaming data with Spark
Advance Your Career
Developers and engineers with Spark experience are among the world's most in-demand and highly-compensated technical roles. Check out some of the job opportunities currently listed that match the professional profile, many of which seek experience building applications for stream processing and real-time analysis of Big Data.
No classes have been scheduled, but you can always Request a Quote