When using several of the LeapFrogBI component types, configuration information is stored in Excel. This architecture is used in cases where it is not feasible to upload or input data into a web browser efficiently. Examples include; multi file stage, and rest API collection. Excel workbooks include the option to automatically “Calculate Workbook” when the […]
Posts by Paul B. Felix:
Users can now view a visual representation of functional constraints via the Precedence Graph option.
At times it is useful to retrace your navigation steps within a project. Now you can.
Trim both sides of a string in one step using the new Left Trim & Right Trim combined expression type.
Custom Connection Attributes This new feature adds a connection attributes dialog to connection string definitions enabling users to define custom attributes at design time. Faster Access to Generated Code Users can now view generated code, download a build (save or execute), view build status, and refresh generated code (build) directly from the component detail page. Can it get any easier?
Have you ever wanted to just type some t-sql instead of using the fully validated LeapFrogBI expression builder? Well, you are in luck. You can now do just that! Simply select the custom expression option in the expression builder and paste in your t-sql.
This quick tip demonstrates how to create a data flow queue using LeapFrogBI.
Process large jobs in batches using LeapFrogBI.
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
Some users love being notified when build jobs complete, and others hate it. Good news! Users can now enable or disable build email notifications in the user settings area. Simply check the box; or not.
Metadata has the power to make or break a data warehouse. Like most innovation, a metadata driven approach to data warehousing solves common challenges by taking the process to a higher level.
Data warehousing success depends on properly designed ETL. In this short video we walk though the foundation design pattern step-by-step.