Organizations need to do data preparation/wrangling for accurate analysis of data that is more complex and continues to grow every day. Data preparation is also required so that organizations can use the data effectively in various business processes and reduce the time to value.
Wrangling Data Flow in Azure Data Factory allows you to do code-free data preparation/wrangling @cloud scale iteratively. Wrangling Data Flow integrates with Power Query Online and makes the best in class Power Query M functions available for data wrangling @ cloud scale via spark execution.
Wrangling Data Flow translates M generated by Power Query Online Mashup Editor into Spark code for cloud scale execution and provides best in class monitoring experience.
The composite model expects to have huge tables as a DirectQuery source and some smaller tables in import mode. When we talk about huge tabl...
Let's see how the power query cache works (in both Excel and Power BI Desktop). A "persistent cache" stored on disk, when refr...
As we start the new year, we’re excited to announce we’re rolling out report sharing to users worldwide. Now reports and dashboards have the...
Speak about Power BI and business application platform http://www.cloudconferenceitalia.it/2017/