Amazon S3 or Amazon Simple Storage Service is a “simple storage service” offered by Amazon Web Services that provides object storage through a web service interface.
When using HVR, files can be captured and copied or moved to a different location. CSV and XML files can be processed for a table target. As a target, HVR can write files in multiple formats including Parquet, JSON, Avro, CSV or XML with many options to fine tune the format and define compression. HVR’s data validation feature, Data Compare, is supported through Hive external tables, or directly by reading/parsing the files.
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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. |
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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