You can quickly, easily, and securely export data from Slate to any external system. These might include Student information system (SIS) General ledgers Financial aid systems 📖 Looking for an overview of integrations as a whole ? ...

The article describes in conceptual terms some options for exporting data from Slate. Before you begin Answer these questions: ⏳ When does data need to exist in the external system? Consider the business processes dependent on data in an ex...

Once you’re familiar with the conceptual underpinnings of the different ways Slate can export data , and you’ve decided on a method that suits your needs, we can get into the specifics of building the data export query. Import our example data exp...

Viewing the full country name is useful for users who are viewing the citizenship or country of residence for a list of records. However, data is often sent to external systems that require specific codes instead of the full country name. While st...

Once you’ve configured your data export query according to your specifications, you must configure how (and when) Slate exports this data. Web services: If your data is consumed using a web service, select Edit Web Service to configure the ...

Dynamic views package Slate data in a way that's more accessible to external tools, such as Tableau, PowerBI, and data warehouses. They are distinct from materialized views in that they reflect data in real time. How they work A dynamic view...

Materialized views make Slate data easily accessible to external tools, such as Tableau, PowerBI, operational data stores, and data warehouses. How they work A materialized view is like a scheduled data export that stores its results in your da...

Once you’ve: Decided on a data export process Created a data export query Configured the query’s schedule settings You can test the export before going live with the following steps. Cumulative exports If a data export query is ...

Data exports are created and managed with the Query tool, where an export of the query data can be produced in the desired format (such as fixed-width, delimited, XML, and JSON). Most institutions export data to their general ledger through flat fi...

There may be times when you need to share Slate data with a third party that doesn’t have Slate access. For example, you might want to: Share a list of admitted students with academic departments on campus Send data from an inquiry pool to a ...

Data exports can be built for a variety of data transfer needs, including extracts for data warehouse. Institutions may build data warehouse exports using available Slate tools like queries , export values, translation codes , update queues, and f...