Online or onsite, instructor-led live Pentaho training courses demonstrate through interactive discussion and hands-on practice the fundamentals of Pentaho.
Pentaho 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 Pentaho training can be carried out locally on customer premises in Prague or in NobleProg corporate training centers in Prague.
Pentaho Open Source BI Suite Community Edition (CE) is a business intelligence package that provides data integration, reporting, dashboards, and load capabilities.
In this instructor-led, live training, participants will learn how to maximize the features of Pentaho Open Source BI Suite Community Edition (CE).
By the end of this training, participants will be able to:
Install and configure Pentaho Open Source BI Suite Community Edition (CE)
Understand the fundamentals of Pentaho CE tools and their features
Build reports using Pentaho CE
Integrate third party data into Pentaho CE
Work with big data and analytics in Pentaho CE
Audience
Programmers
BI Developers
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.
Pentaho Data Integration is an open-source data integration tool for defining jobs and data transformations.
In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle and maximize the value of data within their organization.
By the end of this training, participants will be able to:
Create, preview, and run basic data transformations containing steps and hops
Configure and secure the Pentaho Enterprise Repository
Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
Provide results to third-part applications for further processing
Audience
Data Analyst
ETL developers
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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