Gartner® Hype Cycle™ for Data Management 2024
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Read The ReportThe extractor supports fetching data from CosmosDB containers with options for incremental loading, custom SQL queries, and data mapping. Users can configure parameters such as container ID, output table, and query settings to tailor data extraction to their needs.
The CosmosDB SQL API Extractor allows users to import data from Azure CosmosDB using the SQL CORE API. Key features include support for incremental loading, flexible data mapping, and the ability to handle large datasets efficiently. This component simplifies data integration, enabling users to focus on building impactful data products.
The extractor supports fetching data from CosmosDB containers with options for incremental loading, custom SQL queries, and data mapping. Users can configure parameters such as container ID, output table, and query settings to tailor data extraction to their needs.
An e-commerce company uses the CosmosDB SQL API Extractor to import customer and transaction data into Keboola. By leveraging incremental loading, they maintain up-to-date analytics dashboards, enabling quick insights into sales trends and customer behavior, ultimately enhancing decision-making and marketing strategies.
A retail business combines CosmosDB data with Snowflake Query History to enrich customer profiles. This integration allows for a comprehensive view of customer interactions, enabling personalized marketing campaigns and improved customer service.
A logistics company integrates CosmosDB data with MySQL databases to optimize supply chain operations. By analyzing inventory levels and shipment data, they can predict demand more accurately and reduce operational costs.
The CosmosDB SQL API Extractor streamlines data integration, empowering businesses to focus on insights and growth.