Automy Data Analytics
Power Query is an advanced data transformation and data mashup tool that is integrated with Microsoft Excel and Power BI. It allows you to connect to various data sources, transform the data, and load it into your desired destination.
In this article, we will be discussing the Power Query M Language Code for Connecting to the Automy Data Analytics Data Source from Inside Power BI. Automy Data Analytics is a cloud-based data analytics platform that provides businesses with a comprehensive, end-to-end solution for analyzing and visualizing their data.
Power Query M Language
Power Query M Language is a functional programming language for querying and transforming data. It is used to create queries that retrieve data from various sources, transform the data, and load it into a destination. The language is built on the .NET Framework and is used by Power Query and Power BI.
Connecting to Automy Data Analytics
To connect to Automy Data Analytics from inside Power BI, you will need to use the Power Query Editor. The Power Query Editor is a visual interface for creating queries that are used to retrieve, transform, and load data.
Here is the Power Query M Language Code for Connecting to the Automy Data Analytics Data Source from inside Power BI:
let
Source = Json.Document(Web.Contents(“https://api.automydata.com/query”)),
#”Converted to Table” = Record.ToTable(Source)
in
#”Converted to Table”
This code uses the Automy Data Analytics API to retrieve the data. It sends a GET request to https://api.automydata.com/query and then converts the response into a table.
Querying Automy Data Analytics
Once you have connected to Automy Data Analytics, you can start querying the data. Automy Data Analytics provides a wide range of data analysis and visualization tools that can be used to gain insights into your data.
Here is an example of Power Query M Language Code for Querying Automy Data Analytics:
let
Source = Json.Document(Web.Contents(“https://api.automydata.com/query”)),
#”Converted to Table” = Record.ToTable(Source),
#”Expanded Value” = Table.ExpandRecordColumn(#”Converted to Table”, “Value”, {“Field1”, “Field2”, “Field3”, “Field4”}, {“Value.Field1”, “Value.Field2”, “Value.Field3”, “Value.Field4”})
in
#”Expanded Value”
This code retrieves the data from Automy Data Analytics, converts it into a table, and then expands the Value column to display the fields Field1, Field2, Field3 and Field4.
Conclusion
In conclusion, Power Query M Language Code is a powerful tool for connecting to Automy Data Analytics from inside Power BI. It enables you to retrieve, transform and load data from various sources, including Automy Data Analytics. With Power Query, you can easily query and analyze the data, and gain insights into your business.
If you’re looking for a comprehensive data analytics solution for your business, Automy Data Analytics is definitely worth considering. Its cloud-based platform provides businesses with a powerful set of tools for analyzing and visualizing their data. And with Power Query, you can easily connect to Automy Data Analytics and start exploring your data today.
