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. Cancun onsite live Apache Arrow trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Cancun, Punta Cancun ICC
Cancun International Convention Center, Blvd. Kukulcan Km. 9, Cancun, mexico, 77500
Work in the heart of "Punta Cancún", the main business area of the city and within the International Convention Center, wher...
Work in the heart of "Punta Cancún", the main business area of the city and within the International Convention Center, where large events and business shows are held.
This modern business center is strategically located in a busy area, surrounded by banks, hotels, restaurants, shops and a wide variety of services.
Fully equipped offices, ready to start working when you enter
Business lounge to work while traveling
Easily booked meeting rooms
Regus IT High Speed Internet Access
Secure parking
Administrative support on request
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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