In this hands-on Apache Spark with Scala 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. Learn to supercharge your data with Apache Spark, a big data platform well-suited for iterative algorithms required by graph analytics and machine learning.
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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
Apache Spark, a big data platform well-suited for iterative algorithms required by graph analytics and machine learning, is written in Scala.
Scala is a supported language for Apache Spark. Programming with Scala will help build application with core APIs.
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