Shuveb Hussain
At Zipstack, we believe having SQL at the heart of your data engineering workflows gives you productivity superpowers.
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Currently, most workflows start with data sitting in a data warehouse. Your use of SQL for data engineering only begins when you seek to transform that data or model that data with SQL. What if you were able to use SQL to:
Zipstack is built on this foundation we call Pervasive SQL. But, let’s start with extract. How does one extract data from SaaS applications, for example with just SQL? No big deal. You can add any data source (SaaS apps, SQL and NoSQL sources, CSV files) to the Zipstack Cloud platform and query those live using SQL.
Watch the video below to see how you can add a Salesforce data source and query it live!
It hardly takes a minute to connect any of the supported 270+ data sources, which include popular SaaS applications to the Zipstack platform. Once connected, the connectors create a notion of a proper SQL addressable schema irrespective of the type of source. It is then possible to connect to the Zipstack platform via JDBC or the Postgres protocol from visualization systems like Tableau or PowerBI, custom applications or Python notebooks where all the connected data sources appear like regular databases. Like seen in the video, you can run ANSI SQL queries against any connected source.
In future articles in this series, let’s explore what else you can achieve in terms of data engineering workflows while leveraging just SQL. Stay tuned!