1300 E 9th Street, 12th Floor, Cleveland, United States, 44114
Cleveland, OH - Regus at 9th Street
The venue is located in Midtown Cleveland at 1300 East 9th Street, easily accessible by car via I‑90 or I‑77 with exit ramps to East 9th Street and nearby paid parking garages. From Cleveland Hopkins International Airport (CLE), take I‑71 North into the city, exit at East 9th Street, and the drive typically takes about 15 minutes by taxi or rideshare. Public transit is highly convenient with the Cleveland RTA bus routes along E. 9th or St. Clair Avenue and Cleveland Train Station just 0.4 miles away, followed by a short walk to the building.
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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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