LeapFrogBI Academy Course Catalog
We make learning how to get the most out of the LeapFrogBI Platform easy. All courses are video guided step-by-step bite sized chunks of information that you can consume easily. If you get stuck for any reason, please let us know. We are here to help. email@example.com
- Case Studies
- Data Solutions
- Dimensional Modeling
- Everything Else
- Getting Started
- LeapFrogBI Platform
- Other Stuff
- Sample Project
- Tips & Tricks
- What's New
Creating and configuring a LeapFrogBI account is simple. Each account is maintained by one or more administrators who can invite users to join the account. This short course covers account administration and user management.
LeapFrogBI projects are containers for components which are the building blocks used to create and maintain data marts. Account administrators create projects and define project properties. After being granted project access, account users are able to develop or browse project components. This course steps through the project creation process.
New to LeapFrogBI? This is a great place to start. This course provides a high level development workflow overview. The concepts covered provide a foundation for all development tasks.
Defining a desired data mart structure prior to beginning development is key to success. Data models are the blueprint of data mart development. This course demonstrates the creation of a simple data model while describing the role it serves.
After collecting requirements and creating a target data model, it is time to create a source to target map known as an ETL Data Flow Diagram (DFD).Â This course bothÂ describes the role of a DFD and demonstrates the creation of a simple DFD.
Connection components define connection details for each project lifecycle. All other components reference connection components to define their source and destination. LeapFrogBI manages the creation of all required objects based on these definitions.
Are you ready to start collecting data? Stage components move data from a source system to controlled destination. In this course you will learn how to create a source system profile and incrementally extract source records using stage components.
A resilient data mart should include a consolidated view of all source system records collected. This is the role of the persistent stage area (PSA) component. PSA provides a dependable source for all downstream components designed to support agile development processes.
Pivot, unpivot, filter, union, join, aggregate, etcâ€¦ can all be done in transformation components. Dealing with data quality issues and structuring source records in a way that is appropriate for target dimensions & facts is the role of transform components.
The attributes which describe related fact records are stored in dimension tables. It is the role of the dimension component to make creating and loading dimensions a very simple task. Set the dimension keys and selecting history tracking methods are a couple of common dimension tasks.
Fact tables contain numeric measures and pointers to related dimensions. Fact components provide a simple interface for common tasks such as setting up dimension relationships, selecting degenerate dimensions, and creating calculations.
After creating components, it is time to build and deploy.Â Configuration builds, component builds, and build archives are defined and initiated.Â Lifecycle migration along with a sample migration pattern is introduced.
LeapFrogBI generates packages which will create and maintain a data mart based onÂ component definitions.Â These packages must be run in order of precedence.Â This course describes the load precedence solution and demonstrates implementation.