Snowflake is a fully relational ANSI SQL, infinitely scalable, cloud-based platform.
HVR stages data in the recommended location (i.e. Google Cloud Storage (GCS) on GCP) to get data into Snowflake as quickly and as efficiently as possible. Changes to the target tables are applied using set-based statements for optimum throughput.
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Key Features: See how change data capture, data validation and repair, and reporting all in one tool simplify data integration management. |
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Table Creation and Initial Load. Mapping data between source and target is automated and made easy. |
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Log-based Change Data Capture. Only the changes are moved between source and target, a low impact way to move data. |
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Data Compare. Have assurance your data is accurate. HVR includes the ability to compare data before consumption. |
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Insights: This tool gives you the ability to view how data is moving in real-time, be proactive and identify chokepoints. |
Interview from theCUBE HVR and Snowflake, Partners in the Cloud At AWS re:Invent 2019, HVR Partner, Chris Degan of Snowflake, and HVR CEO, Anthony Brooks-Williams, sat down with the hosts of theCUBE for a live chat about data movement, AWS, ...
Customer: Progressive Leasing Automates and Optimizes its Data Warehouses to Deliver Real-Time Data About: In 1999, Progressive Leasing introduced consumers to the first virtual lease-to-own program. Since then, the company has provided millions of customers and their families access to simple, ...
Customer: The Action Network Achieving Faster Marketing Analytics About: Action Network provides SaaS solutions that help nonprofit agencies, such as grassroots organizations, international NGOs, or labor federations raise money for campaigns, collect RSVPs for events, sell tickets, create online surveys, ...
Whether you’re moving your data to a data lake or data warehouse, from on-prem to the cloud, we support it.
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