Apache Spark Data Science 2 Days

Description During this class you will use Spark’s various processing engines and capabilities to learn and exercise data science tasks. This class runs on both Spark 1.6 and 2.0 using the Databricks platform. Intended Audience This class is designed as an advanced Spark class for engineers, data scientists, and analysts with less than few months or so experience with Spark. Requirements All participants need to bring a laptop with updated versions of Chrome or Firefox (Internet Explorer and Safari are not supported). Participants should familiarize themselves with basic Scala syntax before the training. Learning Objectives Extract, transform, and load (ETL) data from multiple federated data sources (json, relational databases, etc) with DataFrames. Extract structured data from unstructured data sources by parsing using DataFrames with transformations and actions (map, flatMap, filter,…

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