Snowflake Inc. announced this week during their Virtual Partner Summit that phData has been named the FY2020 Emerging Partner Of The Year. With multiple joint customer wins over the past year, we’re honored to be recognized with such a high distinction and excited about our future in the Snowflake ecosystem.
You can learn more about the award in our press release, here! In this blog, let’s talk about what we’ve learned about building data products on Snowflake’s cloud data platform. Hopefully, these 3 tips can help ensure your Snowflake-based data product is successful.
Tip 1: Unlock All of Your Data
- Sensors in the field, factory, or plant
- Process 4 Billion data points daily
- SAP ECC
- SAP HANA
- SAP BW
Legacy Database Migration
- Teradata to Snowflake
- Oracle to Snowflake
- SQL Server to Snowflake
Tip 2: Automate Your Data Cloud
Data Pipeline Automation
User, Application, & Data Management Automation
Cloud Infrastructure Automation
Production data pipelines usually require cloud infrastructure outside of the scope Snowflake provides. For example, you might need Apache Airflow, Apache Kafka, AWS Sagemaker, or Databricks. Cloud Foundation is a library of pre-built infrastructure-as-code, but also CI/CD to ensure governed, automated deployments.