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 Linz can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
NobleProg Linz
Hafenstraße 47-51, Linz, Austria, 4020
Overview
Our training facilities are located at Hafenstraße 47-51 in Linz. Our spacious ...
Overview
Our training facilities are located at Hafenstraße 47-51 in Linz. Our spacious training rooms are located in the old town, near the Danube, and offer optimal training conditions for your needs.
Directions
The NobleProg training facilities are conveniently located near the A7 motorway.
Parking spaces
There are parking spaces in the surrounding streets around our training rooms.
Local infrastructure
There are numerous restaurants in the area of the old town and hotels are also within walking distance.
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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