Architecture training

Logo Lightbend Apache Spark for Scala - Professional

Training Lightbend Apache Spark for Scala - Professional

Workshop for Developer

Duration 2 days Get a quote
Official Logo Official
Certifying Logo Program

This two-day workshop is designed to teach developers how to implement data analytics using Apache Spark for Reactive applications. In this workshop, developers will use hands-on exercises to learn the principles of Apache Spark programming and idioms for specific problems, such as event stream processing, SQL-based analysis on structured data in files, integration with Reactive frameworks like Akka, as well as Hadoop and related tools, and advanced analytics such as machine learning and graph algorithms.

Objectives

  • Understand how to use the Spark Scala APIs to implement various data analytics algorithms for offline (batch­mode) and event­streaming applications
  • Understand Spark internals
  • Understand Spark performance considerations
  • Understand how to test and deploy Spark applications
  • Understand the basics of integrating Spark with Mesos, Hadoop, and Akka

Pedagogy

50% theory, 50% practise

Prerequisites

  • Experience with Scala, such as completion of Fast Track to Scala course
  • Experience with SQL, machine learning, and other Big Data tools will be helpful, but not required.

Target audience

  • Developers with basic knowledge of Scala, as covered in “Lightbend Scala Language - Professional”
  • Developers with an interest in data science looking to put theory into high-scale practice
  • Managers who want to understand how to field applications powered by fast data analytics

Financing in France

  • May be financed through OPCO (if financing covers all of the cost of the training)
  • Cannot be financed through the CPF

Pedagogy

50% theory, 50% practise