Gartner® Hype Cycle™ for Data Management 2024
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Read The ReportThe Snowflake connector allows exporting data to existing or newly provisioned databases. Users can configure table structures, data types, and load options, including full and incremental loads. It supports primary key definition and data filtering, providing flexibility in data management.
The Snowflake component in Keboola exports tables from Keboola Connection Storage to a Snowflake data warehouse via Azure Blob Storage. It supports both existing and new database provisioning, enabling data sharing with BI tools like Tableau and PowerBI. Key features include incremental writing and processing, ensuring efficient data management.
The Snowflake connector allows exporting data to existing or newly provisioned databases. Users can configure table structures, data types, and load options, including full and incremental loads. It supports primary key definition and data filtering, providing flexibility in data management.
A retail company uses the Snowflake connector to export sales data from Keboola to their Snowflake database. This enables real-time analysis and reporting, improving inventory management and sales forecasting. The connector's incremental processing ensures data is always up-to-date without manual intervention.
A marketing agency combines data from Google Analytics and Facebook Ads using Keboola, exporting it to Snowflake. This unified dataset is then visualized in Tableau, providing comprehensive insights into campaign performance and customer behavior, driving more effective marketing strategies.
A financial services firm uses Keboola to aggregate data from multiple sources, including AWS Cost and Usage reports and Salesforce. The data is exported to Snowflake, where it is further processed and synchronized with PowerBI for detailed financial reporting and analysis, enhancing financial oversight.
Snowflake and Keboola streamline data integration and analysis, empowering businesses to make informed decisions.