Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
Get the Report →Author: Jerod Johnson
CData Blog
Data Connectivity for Cloud-based Analytics and Low-Code Development with Cloud Hub
Ad hoc and citizen integrators are commonly turning to a new era of cloud solutions for data analytics and line-of-business application development. Popular cloud applications like Tableau Online, Looker Studio (formerly Google Data Studio), and Microsoft Power Apps provide a versatile framework for working with ...
Data Connectivity for Low-Code Platforms
Low-code (and no-code) platforms provide business users and developers alike with the ability to easily build applications to increase productivity and drive business. Low-code platforms and frameworks generally provide straightforward connectivity to databases but often fall short when i...
CData SSIS Tasks in Azure Data Factory
Azure Data Factory allows you to build cloud-based data integration solutions. Microsoft and CData Software have partnered to extend your ETL and ELT processes in Azure Data Factory with more than 200 SSIS tasks and components, including connectivity to virtually any SaaS, Big Data, or No...
High Performance Drivers for Relational Databases
At CData, we are most commonly known for technologies that enable SQL access to SaaS, cloud, and other non-relational data sources. With application and data storage becoming increasingly distributed, solving the diverse connectivity needs of modern BI, ETL, and data integration has been ...
Introducing the Query Federation Driver
Working with related data from separate sources, like a dedicated CRM service and a local database, is something that typically requires significant development time and effort. One solution to this problem is migrating your disparate data sources into a single location, such as a data wa...
New CData Python Connectors
With its reputation as an easy-to-learn high-productivity programming language, Python has rapidly become one of the most popular tools for working with data. Python developers can make use of a vast ecosystem of tools, frameworks, and freely available modules to simplify data processing....
Introducing the CData Connect Cloud Connector for Google Sheets
We recently showcased a new addition to our CData Labs offerings, the CData Connect Cloud Connector for Looker Studio (formerly Google Data Studio), which simplifies connecting to your CData Connect Cloud instance (and therefore a wide range of SaaS, Big Data, and NoSQL sources) from Looker Studio. We are happy to ...
Introducing the CData Connect Cloud Connector for Looker Studio
In a previous article, we talked about how the CData Connect Cloud allows you to access live SaaS, Big Data, and NoSQL sources directly from cloud-based analytics, reporting, and ETL applications, including Looker Studio (formerly Google Data Studio). Now, connecting to your Connect Cloud instance from Looker Studio...
Extend Databricks Connectivity with the CData JDBC Drivers
Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Drivers, customers can use Databricks to perform data engineering and data science on live data from more than 180 SaaS, Big Data, and NoSQL data sources. T...