Run your data operations on a single, unified platform.

  • Easy setup, no data storage required
  • Free forever for core features
  • Simple expansion with additional credits
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Streamline Data Integration with IBM Db2 Extractor

Overview of IBM Db2

The IBM Db2 Extractor allows access to tables, views, and custom queries. Users can schedule extractions, filter data, and manage incremental loads, ensuring that only the necessary data is processed, reducing overhead and improving efficiency.

IBM Db2 Extractor: Key Features and Benefits

The IBM Db2 Extractor in Keboola facilitates efficient data extraction from Db2 databases. Key features include automated data synchronization, support for complex queries, and secure data handling. This component empowers users to streamline data workflows, ensuring timely and accurate data availability for analytics and decision-making.

Overview of IBM Db2

The IBM Db2 Extractor allows access to tables, views, and custom queries. Users can schedule extractions, filter data, and manage incremental loads, ensuring that only the necessary data is processed, reducing overhead and improving efficiency.

Optimizing Financial Reporting

Financial institutions can use the IBM Db2 Extractor to pull transaction data into Keboola, enabling real-time financial reporting. This ensures compliance and enhances decision-making by providing up-to-date insights into financial performance.

About
IBM Db2

Retail Sales Analysis

Combine IBM Db2 sales data with customer feedback from a CRM system in Keboola. This integration allows retailers to analyze sales trends alongside customer sentiment, leading to more informed marketing strategies and improved customer satisfaction.

Healthcare Data Integration

Integrate patient records from IBM Db2 with external health monitoring data. This combined dataset can be used to enhance patient care by providing comprehensive insights into patient health, enabling proactive healthcare management.

IBM Db2 Extractor simplifies data integration, enhancing analytics and decision-making.

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