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A Look at Azure Synapse Studio (in Preview)

Azure Synapse, formerly SQL DW, is an analytics service that gives you the ability to query data on your terms and at scale. It brings together enterprise data warehousing and big data analytics. Azure Synapse brings together serverless on-demand or provisioned resources with a unified experience so you can ingest, prepare, manage, and serve data for immediate business intelligence and machine learning needs.

In this post I’ll show you a new Azure Synapse feature in preview called Azure Synapse Studio that I’m excited about. The Studio is a one-stop shop for working with data of any size, but particularly big data. You can ingest data, you can explore and analyze data that you already have in the workspace, as well as visualize data using Power BI.

In my video demo included in this post, I’ll walk you through the Azure Synapse Studio and show you what you can do with it. On the Home Page, you can click on the “New” button and see all you can do such as, create a new SQL script which can be executed against your SQL on-demand or another SQL Database that you have connected to your Studio’s workspace or create a Jupiter notebook which you can run in either a SQL or Spark context, along with creating dataflows, pipelines and Power BI reports.

In my demo I’ll dig into the Studio and show you how to:

  • create a notebook, ingest data, explore your data by either working in a notebook or a pipeline.
  • connect to external data like an Azure Cosmos DB or Azure Data Lake Storage Gen 2 instance.
  • create a new database with the Manage feature in which you can create a new SQL pool or an Apache Spark pool.
  • create Linked Services to connect to your Data Factory pipelines and instances to work within your databases

There are so many great things you can do with the Azure Synapse Studio and I think it will be very helpful to many people from data engineers to data scientists and business analysts, allowing them to work together in a single workspace without having to flip back and forth between various tools. I highly suggest you sign up for this preview feature and give it a try.


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  • Highly qualified, talented, tenacious, and well-accomplished professional with 23 years’ experience in data and software engineering, armed with broad-based background and skills helping companies large and small to become digital, data-driven enterprises.

Brian CusterA Look at Azure Synapse Studio (in Preview)