Azure Data Factory (ADF) is a cloud-based data integration service for orchestrating and automating data workflows across on-premises and cloud environments.
June 2024 OneLake availability of Eventhouse in Delta Lake format As part of the One logical copy promise, we're excited to announce that OneLake availability of Eventhouse in Delta Lake format is Generally Available. May 2024 Microsoft Fabric Private Links Azure Private Link for Microsoft Fabric...
Open mirroring is designed to be extensible, customizable, and open. It's a powerful feature that extends mirroring in Fabric based on open Delta Lake table format. To get started, see Tutorial: Configure Microsoft Fabric open mirrored databases. OPENROWSET support (preview) The T-SQL OPENROWSET...
It's a powerful feature that extends mirroring in Fabric based on open Delta Lake table format. To get started, see Tutorial: Configure Microsoft Fabric open mirrored databases. Prebuilt Azure AI services in Fabric preview The preview of prebuilt AI services in Fabric is an integration with ...
Fuller (ADF) and the Phillips-Perron (PP) unit root test to check the stationary of the variables used in the study. The unit root test on the variables were performed using levels, and trends and intercept. The result obtained from the unit root test is summarized and presented in Table...
Zik Gbemre, Coordinator, Niger Delta Peace Coalition, said, “A lot of things have been neglected by the President Buhari-led administration, all of which have only complicated, and made the situations/issues worse, increasing the flames of calls for secession. President Buhari has to d...
When using a temporary interface as a source or a lookup table in another interface, you can choose not to persist the target of the temporary interface, and generate instead a Derived Select (sub-select) statement corresponding to the loading of the temporary datastore. Consequently, the tempora...
5. Spark supports an array and complex types natively that can be inferred directly from json with very little typing. Handling json in spark is pleasurable and because the table types natively support equivalent structures fully shredding data isn’t necessary and can be useful for multi-value ...
If you need to replace your setup.inx file, you can find a %%os%% version in our database listed in the table below. If we do not currently have your required setup.inx version available for download, you can request a copy by clicking "Request" below. Additionally, Phantom EFX can ...
A wizard is available in the interface editor to create lookups using a source as the driving table and a model or target datastore as the driving table. These lookups now appear as a compact graphical object in the Sources diagram of the interface. The user can choose how the lookup is ...