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 Erbil or in NobleProg corporate training centers in Erbil.
NobleProg -- Your Local Training Provider
Erbil Rotana
Gulan Street, Erbil - Kurdistan, Iraq, 44001
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State of the art 7 fully equipped meeting & events venues with flexible seating plans to accommodate all requests. The Grand Ballroom with a capacity of 1000 persons can be divided into 2 sections and is a perfect venue for local and international seminars, weddings, conferences or any event.
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You will always find us at your convenience. Erbil Rotana is strategically located ten minutes away from Erbil International Airport, the main International fair ground and business centres. The hotel is adjacent to the English and Italian villages and opposite the beautiful park Sami Abdul Rahman; the largest park in Iraq. The hotel’s location gives its guests an opportunity to explore touristic sites like the historical “Citadel” and down town bazaars which makes the property convenient for the business and leisure travelers with its luxurious accommodation, wide variety of restaurants and meeting facilities.
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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