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. Onsite live Dremio trainings in Porto Alegre can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Porto Alegre - Platinum Building
Carlos Gomes Avenue, 700, Porto Alegre, Brazil, 90480-000
Platinum Building has many amenities close by. The Boa Vista district is a major corporate center in this sophisticated and progressive port city. Also the business center is six kilometers from the international airport and well served by public transport.
Porto Alegre - Guaiba Business Center
Av. Dolorez Alcaraz Caldas, 90 Porto Alegre RS, Praia de Belas, Brasil, 90110-180
Be at the centre of a lively business district in Praia De Belas, surrounded by courthouses and government offices. Centro Empresarial Guaiba is a distinctive Class A building in the thriving state capital of Porto Alegre.
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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