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.
 | Key Features: See how change data capture, data validation and repair, and reporting all in one tool simplify data integration management. |
 | Table Creation and Initial Load. Mapping data between source and target is automated and made easy. |
 | Log-based Change Data Capture. Only the changes are moved between source and target, a low impact way to move data. |
 | Data Compare. Have assurance your data is accurate. HVR includes the ability to compare data before consumption. |
 | Insights: This tool gives you the ability to view how data is moving in real-time, be proactive and identify chokepoints. |
This 30-minute session is on the financial services industry, and we will share customer stories about how they accelerated their digital transformation strategy and created efficiencies in their business through the use of cloud technologies and real-time analytics.
Interview with theCUBE Realizing the full potential of GE’s data GE can deploy predictive capabilities across the enterprise and extract accurate and actionable real-time insights. But its journey to advanced analytics started with the need for a solution that ...
Interview from theCUBE Driving Business Value with Fresh Data To reach the goal of becoming a 100% data-driven organization, the Logitech team started by adopting AWS. But they still needed a flexible tool to consolidate billions of rows of data and ...
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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