Enabling Breakthroughs for Government: Cloud Native Data Platform + Analytic Process Automation
Snowflake’s cloud-native data platform, coupled with the Alteryx APA Platform, offers a scalable, governable analytics and data-centric process automation solution for the entire organization. Users with different skills and needs across the enterprise can work together —using hundreds of Alteryx automation building blocks with Snowflake’s Data Cloud — to bring data-driven projects of any size into production.
Integration from the start
The integration between Alteryx and Snowflake takes place in in five key areas:
1. In-Database ─ The Alteryx In-Database tools inject SQL for execution in the Snowflake data platform.
2. Read/Write ─ Alteryx can read data out of the Snowflake Data Cloud and write data in.
3. Bulk Loader – Alteryx has a bulk loader for moving large datasets into the Snowflake Data Cloud.
4. Snowflake Data Exchange – Alteryx connects easily to the Snowflake Data Exchange, making it easy to combine third-party data from the exchange with customer data. Note, this is not actually a separate connector but instead functions with the standard read/write and in-database capabilities.
With automation and the right technology stack, this data team is operating in a self-service capacity that preserves valuable IT cycle and can be shared, repeated, and adapted to additional business challenges.
Read This Next.
Download the Best Practices for Using Alteryx with Snowflake guide to understand:
How to supercharge your analytics workloads by unlocking the near-unlimited scale, concurrency, and performance of Snowflake with the Alteryx In-Database building blocks
Where to use Alteryx In-Database building blocks in place of standard building blocks to optimize your analytic workloads
Insights on developing your analytic workloads to take advantage of the unique capabilities of each platform