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 Bern or in NobleProg corporate training centers in Bern.
NobleProg -- Your Local Training Provider
NobleProg Bern
Seidenweg 3, Bern, Switzerland, 3001
Overview
Our training facilities are located at Seidenweg 3 in Bern. Our spacious classrooms are ...
Overview
Our training facilities are located at Seidenweg 3 in Bern. Our spacious classrooms are located very centrally, not far from the university, and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are easily accessible via the A1 motorway. If you arrive by public transport, you can reach the training rooms via the Mittelstrasse stop.
Parking
Rund um unsere Schulungsräume gibt es in den umliegenden Straßen Parkmöglichkeiten.
Local Services
There are numerous restaurants and hotels within walking distance of the old town, the so-called Red Quarter.
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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