Online or onsite, instructor-led live Dremio training courses demonstrate through interactive discussion and handson practice how to install, configure and use Dremio as a unifying layer for data analysis tools and the underlying data repositories.
Dremio 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. Marseille onsite live Dremio trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Marseille, Prado Quarter
Mutliburo Marseille, 565 Avenue du Prado, Marseille, france, 13008
At the heart of the prestigious business quarter of Avenue Prado, surrounded by nature and offering a beautiful view on the s...
At the heart of the prestigious business quarter of Avenue Prado, surrounded by nature and offering a beautiful view on the see.
The business center offers companies a wide range of services and technical means with advanced technology, thus encouraging the development of the activity of its customers.
Plane: 40 minutes away fromInternational Airport Marseille-Provence.
Bus: 19 et 83 lines. "La Plage" Station.
Tram: Line 2. Stop " Rond-Point du Prado"
Dremio is an open-source "self-service data platform" that accelerates the querying of different types of data sources. Dremio integrates with relational databases, Apache Hadoop, MongoDB, Amazon S3, ElasticSearch, and other data sources. It supports SQL and provides a web UI for building queries.
In this instructor-led, live training, participants will learn how to install, configure and use Dremio as a unifying layer for data analysis tools and the underlying data repositories.
By the end of this training, participants will be able to:
Install and configure Dremio
Execute queries against multiple data sources, regardless of location, size, or structure
Integrate Dremio with BI and data sources such as Tableau and Elasticsearch
Audience
Data scientists
Business analysts
Data engineers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
Notes
To request a customized training for this course, please contact us to arrange.
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