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. Onsite live Apache Arrow training can be carried out locally on customer premises in Zurich or in NobleProg corporate training centers in Zurich.
NobleProg -- Your Local Training Provider
Zurich
Zürichbergstrasse 7, Zurich, Switzerland, 8005
Overview
Our training facilities are located at Zürichbergstrasse 7 in Zurich. Our spacious cl...
Overview
Our training facilities are located at Zürichbergstrasse 7 in Zurich. Our spacious classrooms are located near the university campus and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities can be easily reached via the Bundesstrasse 17. If you arrive by public transport, you can reach the training rooms via the tram stop Kantonsschule.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
There are numerous restaurants and hotels within walking distance of the old town.
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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