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Distributed Computing using Spark™ (NEW)

Duration: One Day Course

Prerequisite: None

This one-day course is for data engineers, analysts, and architects; software engineers; IT operations; and technical managers interested in an overview of Apache Spark. Why take this course? The implementation of in-memory computing within enterprises is now real. Executives are looking to leverage the concept to benefit analytics and deliver superior business insights in near real-time. How do we get there? What needs to be implemented? How can you learn this concept?

This course will discuss in-memory processing, the basic internals of the Apache Spark framework, resilient distributed datasets, SQL DataFrames, Spark’s streaming capabilities, and programming with Spark. Each topic includes slide and lecture content along with examples regarding the use of a Spark cluster.

You Will Learn How To

  • Experiment with use cases for Spark, including extract-transform-load operations, data analytics, data visualization, batch analysis, machine learning, graph processing, and stream processing
  • Identify Spark capabilities appropriate to your business needs
  • Communicate with team members and engineers using appropriate terminology
  • Build data pipelines and query large data sets using Spark SQL and DataFrames.
  • Execute and modify extract-transform-load (ETL) jobs to process big data using the Spark API, DataFrames, and resilient distributed datasets (RDD).
  • Analyze Spark jobs using the administration UIs.

Geared To

  • All professionals

Contact Us to Get Started Today


Yvonne Baho

Yvonne M. Baho Director, Enterprise Learning
Phone: 978.582.7105


"The instructor was very responsive to input from the class and adapted to meet the needs specific to our context. I especially appreciated the many case studies and focus on assessment."

S. Bessias UNC Healthcare

"Very good overall view of DW concepts and provided valuable insight for such a varied audience."

Jerry Bundt Nestle Purina

"This was the best training class I’ve had in my 20 year career."

Tim Grieb Seattle Children’s Hospital

"The instructor did an excellent job and demonstrated an understanding of real world applications."

Sean Dewulf Con-way Freight


Yvonne Baho Yvonne M. Baho
Director, Enterprise Learning
Phone: 978.582.7105
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