To prepare, transform, and model data from diverse sources, you can take advantage of a data modeling tool like Dataform.įinally, once you have data in your data warehouse you can use business intelligence (BI) software or tools for data analytics or machine learning. Most businesses get more value out of their data as they integrate more data sources for our example, we'll look at data from two separate SaaS applications. You can sign up and begin moving data to a data warehouse in five minutes. It can replicate data from more than 100 data sources. Stitch is a simple, powerful ETL service for businesses of all sizes, from startups to large enterprises. You can extract data that you have stored in SaaS applications and databases and load it into the data warehouse using an ETL (extract, transform, load) tool. Most businesses take advantage of cloud data warehouses such as Amazon Redshift, Google BigQuery, Snowflake, or Microsoft Azure SQL Data Warehouse. At the base is a data warehouse that consolidates all of your data in a single location. So how do you begin combining data from such diverse sources to gain insight into your business? You need a data stack with several layers. The challenge for most organizations is that all of that information sits across numerous cloud applications (such as Salesforce and Google Ads) and internal databases. Dataform is a powerful data modeling platform, but before you get to tap into its powerful features and intuitive workflow, you have to get your hands on the data.
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