![]() While there is a caching system in place, it is for static data serving a report. These are are inherently slower, have their own limitations, and come at a cost to the database owner. With Native Connectors, interacting with a dashboard will trigger API calls or database connections. They are fine to use in development, but can be risky to use at scale or for commercial purposes (like an agency reporting for their client, or for running dashboards within a company). Google now offers a native connector to Microsoft SQL Server, however it has some significant limitations, as do the other Native Connectors (and some of the other Partner Connectors). Unfortunately, Google does not provide a native connector for Microsoft SQL Server (which is likely why you’re here!). There are over a dozen connectors to native Google data sets like BigQuery, YouTube and Attribution 360, as well as additional connectors provided by Google including MySQL, Postgres, and Google Cloud SQL. Need further help? Our expert team and solution offerings can help your business with any Azure product or service, including Managed Services offerings. I suggest you download it and give it a try. I highly recommend it if you work with data and with adding the Jupiter notebook feature you can explain what you’re doing as you’re doing it. You can also query by clicking Control N and writing your query in the control window and connect to a database, then run it to see the results which can be exported as CSV, Excel or JSON files.Īzure Data Studio is a fantastic tool for data engineers.You can build this Jupiter notebook into a nice presentation for clients or customers to explain what you’re doing as you go.If it’s an analytical type query, you can also create a chart of the data.Once that query is displayed, I can export that as a CSV, Excel, JSON or XML file.In the code cell I can write a select statement (Select * from dimension.City for instance) and once I have a connection selected (in my case I want to connect to my Wide World Importers dataset), I can run the cell and it will display the query right there for me.This notebook feature can run PySpark, Python 3, Spark R and Scala, as well as PowerShell, so you’re not limited in any way. In my example, I’m using the SQL Kernel so any code that I write must be SQL.To add an additional cell, you scroll your mouse down by the created cell and it will give you an option of adding a code cell or text cell.I can write a text cell saying I’m going to query the dimension City from Wide World importers and that text will be created in an actual cell. ![]() Jupiter notebooks are great as you can essentially explain what you’re doing as you’re doing it. ![]()
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