Alteryx is a popular data analytics platform that countless organizations use to process and analyze large sets of data. However, sometimes it can be difficult to explore the most valuable use cases, especially when it comes to performance and scalability because of “Data Gravity,” which makes it more difficult and expensive to move data and applications around.
The good news is that Alteryx users no longer need to worry about this issue when it comes to prioritizing the highest-value use cases, especially if they use Snowflake. Since 2017, users have been able to leverage the Alteryx-Snowflake in-database processing to create more sophisticated predictive models that incorporate a larger and more diverse set of data.
Now, with an even deeper integration between Alteryx and Snowflake, supply chain analysts have the freedom to develop predictions the right way. Analysts can move more data preparation and blending tasks directly into the Snowflake environment, allowing for more complex data transformations and computationally intensive queries to be processed within Snowflake.
Overall, the integration between Alteryx and Snowflake is great news for anyone who needs to process and analyze large sets of data. It makes it easier and more efficient to do so and allows analysts to leverage the full power of both platforms without the need for additional infrastructure.
Read more about the integration here.
