April 2020 Summaries

The Query Federation Driver from CData Software allows developers to work with related data from disparate sources without migrating them into a single location. It enables users to aggregate and query data across SaaS applications, Big Data stores, NoSQL databases, flat files, and more by combining CData drivers behind a single driver interface. This solution provides a unified endpoint for accessing data from multiple sources, eliminating the need to replicate or upload data between systems. By federating data, developers can join related data tables from different sources based on common fields, enabling reporting, visualization, and other uses without requiring significant development time and effort.

Discover how a bimodal integration strategy can address major data management challenges facing organizations today. CData Software provides standards-based connectors to streamline data access and insulate customers from complexities of integrating with various databases, SaaS, APIs, NoSQL, and Big Data. The company offers solutions for ETL/ELT, cloud & API connectivity, OEM & custom drivers, and data visualization, catering to a range of needs and industries.

Python developers can now easily connect to hundreds of SaaS, Big Data, and NoSQL data sources with the new CData Python Connectors, which provide a universal data connectivity layer for connecting systems and data with advanced Python processing. The connectors simplify data access from within Python applications by creating a SQL wrapper around APIs and data protocols, enabling developers to visualize data using popular libraries like pandas and SQLAlchemy, build web applications with Dash, and create ETL pipelines with petl. The connections are available for over 150 SaaS, Big Data, and NoSQL data sources, including NetSuite, Google BigQuery, Snowflake, and Salesforce.