Apache Arrow Training in Edmonton

Apache Arrow Training in Edmonton

Online or onsite, instructor-led live Apache Arrow training courses demonstrate through interactive hands-on practice how to use Apache Arrow to process data from disparate data sources..

Apache Arrow 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. Edmonton onsite live Apache Arrow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.

NobleProg -- Your Local Training Provider

Edmonton - First Edmonton Place
Learn Apache Arrow in our training center in Edmonton.

The building is located on a central hub for public transit. Our Northwest corner is steps away from Corona station – a vital line in the Edmonton LRT system. By bus, we are seconds away from several large bus transfer stops. Easy access (and very handicap accessible) right on Jasper Avenue, minutes away from Edmonton’s River Valley, Alberta Legislature, and MacEwan University.

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Arrow Course Events - Edmonton

Arrow Course Outlines in Edmonton

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
Apache Arrow is an open-source in-memory data processing framework. It is often used together with other data science tools for accessing disparate data stores for analysis. It integrates well with other technologies such as GPU databases, machine learning libraries and tools, execution engines, and data visualization frameworks.

In this onsite instructor-led, live training, participants will learn how to integrate Apache Arrow with various Data Science frameworks to access data from disparate data sources.

By the end of this training, participants will be able to:

- Install and configure Apache Arrow in a distributed clustered environment
- Use Apache Arrow to access data from disparate data sources
- Use Apache Arrow to bypass the need for constructing and maintaining complex ETL pipelines
- Analyze data across disparate data sources without having to consolidate it into a centralized repository

Audience

- Data scientists
- Data engineers

Format of the Course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
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