Our courses can be customized to your specific needs, and delivered on-site, at your location for groups of 3 or more participants. Please see our full course catalog. For a customized proposal and pricing please request an on-site training quote.
This course builds on the product concepts covered in the Introduction course, and demonstrates how to use the GoodData application. After attending this course and the prerequisites, users will have the tools that they need to properly configure their GoodData environment, understand the report creation and visualization workflow, and create compelling dashboards. The target audience for this course is future GoodData administrators and report and dashboard authors/analysts.
|Sep 15||10:00AM - 1:00PM Pacific Daylight Time||Online Webinar (Americas)||$ 600.00 USD||Register|
The MAQL Metrics training course takes a "code by example" approach to explaining the Multi-Dimension Analytical Query Language used in GoodData. Participants will start with a fully populated data set and an empty project, and throughout the course will build metrics to produce a fully populated dashboard. The course comprehensively covers the syntax and functions in the MAQL Data Query Language (DQL), and the hands-on exercises mean that participants will leave this course understanding all that can be achieved with metrics in GoodData.
|Sep 17||10:00AM - 1:00PM Pacific Daylight Time||Online Webinar (Americas)||$ 600.00 USD||Register|
This course introduces the fundamentals of dimensional data modeling, creating logical data models in CloudConnect, and deploying them to the GoodData cloud platform. Using a blend of presentations, demonstrations and hands-on exercises, this course covers all the basic knowledge and skills you will need to start creating and deploying data structures that can be used effectively by the GoodData Business Intelligence Platform.
This course introduces the features of the CloudConnect ETL through demonstrations and focused hands-on exercises using practical use case examples. The Cloud Connect Transformation (CTL2) is introduced along with techniques for testing and debugging ETL flows. By the end of the course, participants will be able to create CloudConnect ETL graphs to read source data, apply a variety of transformations including basic customization using CTL2, and write the data to GoodData datasets.
This course builds on the Data Modeling Essentials course and takes participants deeper into the challenges of dimensional modeling for complex data sources. The main focus is best practice for various use cases that are common to large business intelligence projects, with hands-on exercises focused on each use case. By the end of this training course, participants will be able to transform complex data requirements into practical logical data models using CloudConnect.
This course builds on the Data Modeling and ETL courses by presenting best practices and techniques for implementing projects that are maintainable and optimized for performance. By the end of this training course, participants will be able to apply optimization techniques to logical data models and to build ETL graphs using CloudConnect that are flexible and expandable as requirements and processing needs change.