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. Belfast onsite live Apache Beam trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Belfast
Cromac Square, Belfast, united kingdom, BT2 8LA
The Cromac Street Centre is located in a office development with a three-storey glass-fronted lobby on a prominent corner sit...
The Cromac Street Centre is located in a office development with a three-storey glass-fronted lobby on a prominent corner site in Belfast's city centre.
It is strategically positioned in a major business area alongside some leading financial and IT institutions, at the apex for main arterial routes through the city and close to major entertainment and retail zones.
Belfast has benefited from sustained investment and rapid economic growth and is now a flourishing and confident city where business is prospering, visitor numbers are increasing and more and more people are drawn to the city to live, work, shop, visit and play.
It has one of the most highly qualified workforces in Europe and has seen strong growth in the knowledge sectors, particularly the financial services, biotechnology, environmental and creative industries as well as having rich and varied cultural and social sectors.
The centre has Life Size Video Conferencing available with Polycom 7000HDX video conferencing, screen sharing and up to 10 sites connectivity Bridging ISDN and IP services available.
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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