Online or onsite, instructor-led live Apache Beam training courses demonstrate through interactive hands-on practice how to implement the Apache Beam SDKs in a Java or Python application that defines a data processing pipeline for decomposing a big data set into smaller chunks for independent, parallel processing.
Apache Beam training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache Beam training can be carried out locally on customer premises in Abu Dhabi or in NobleProg corporate training centers in Abu Dhabi.
NobleProg -- Your Local Training Provider
Park Rotana Complex
Abu Dhabi, United Arab Emirates
Situated within the Park Complex and adjacent to TwoFour54 and Khalifa Park. Park Rotana is 15 minutes drive from Abu Dhabi I...
Situated within the Park Complex and adjacent to TwoFour54 and Khalifa Park. Park Rotana is 15 minutes drive from Abu Dhabi International Airport and Yas Island.
Driving directions from Abu Dhabi International Airport:
Drive towards Abu Dhabi by highway No. E 10, Keep driving straight after passing the “Al Raha mall”. Follow the signage “Sheikh Zayed Bridge” to drive through the bridge, Keep in the right lane when you finish the bridge. You are now driving on “Salam / Eastern” road. Take the exit “Khalifa Park & Ministries Complex” from extreme right lane to make a “U turn” over the underpass, Follow the signal “Park Rotana Complex” and take right to the roundabout. After it, turn left in the roundabout and drive straight until you reach Park Rotana.
Apache Beam is an open source, unified programming model for defining and executing parallel data processing pipelines. It's power lies in its ability to run both batch and streaming pipelines, with execution being carried out by one of Beam's supported distributed processing back-ends: Apache Apex, Apache Flink, Apache Spark, and Google Cloud Dataflow. Apache Beam is useful for ETL (Extract, Transform, and Load) tasks such as moving data between different storage media and data sources, transforming data into a more desirable format, and loading data onto a new system.
In this instructor-led, live training (onsite or remote), participants will learn how to implement the Apache Beam SDKs in a Java or Python application that defines a data processing pipeline for decomposing a big data set into smaller chunks for independent, parallel processing.
By the end of this training, participants will be able to:
Install and configure Apache Beam.
Use a single programming model to carry out both batch and stream processing from withing their Java or Python application.
Execute pipelines across multiple environments.
Format of the Course
Part lecture, part discussion, exercises and heavy hands-on practice
Note
This course will be available Scala in the future. Please contact us to arrange.
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