7900 East Union Avenue, Suite 1100, Denver, United States, 80237
CO, Denver - DTC Corporate Center III
The venue is located in Denver Tech Center at 7900 East Union Avenue, Suite 1100, on the 11th floor of Corporate Center III. It’s easily reachable by car via I‑25 or I‑225 with secure underground parking available in the building. From Denver International Airport (DEN), take Peña Blvd and I‑70 West to I‑225 South, then exit onto Union Avenue—taxi or rideshare typically takes about 25 minutes. Public transit users can take RTD buses along Union Avenue, with stops just outside the building, followed by a brief walk into the lobby.
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Explore Our Courses
Administration of Apache Spark
35 HoursHadoop and Spark for Administrators
35 HoursPySpark and Machine Learning
21 HoursSMACK Stack for Data Science
14 HoursApache Spark Fundamentals
21 HoursApache Spark in the Cloud
21 HoursSpark for Developers
21 HoursApache Spark SQL
7 HoursLast Updated:
Testimonials (6)
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
Course - Python and Spark for Big Data (PySpark)
The fact that we were able to take with us most of the information/course/presentation/exercises done, so that we can look over them and perhaps redo what we didint understand first time or improve what we already did.
Raul Mihail Rat - Accenture Industrial SS
Course - Python, Spark, and Hadoop for Big Data
very interactive...
Richard Langford
Course - SMACK Stack for Data Science
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
Having hands on session / assignments
Poornima Chenthamarakshan - Intelligent Medical Objects
Course - Apache Spark in the Cloud
Doing similar exercises different ways really help understanding what each component (Hadoop/Spark, standalone/cluster) can do on its own and together. It gave me ideas on how I should test my application on my local machine when I develop vs when it is deployed on a cluster.
Thomas Carcaud - IT Frankfurt GmbH
Course - Spark for Developers
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