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 training can be carried out locally on customer premises in Coimbra or in NobleProg corporate training centers in Coimbra.
NobleProg -- Your Local Training Provider
Hotel Tivoli Coimbra
4, R. João Machado 4, 3000-226 Coimbra, Coimbra, Portugal
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic c...
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic centre, the University Library, the Santa Clara-a-Velha Monastery and the Sé. Nearby is Conímbriga, a well conserved city of the Roman age. For the more active, canoeing on the Mondego River is a must. Families can visit the Portugal dos Pequenitos to see the most emblematic cities and monuments of the country in miniature form.
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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