Author: Jerod Johnson

CData Blog


Data Connectivity for Low-Code Platforms
July 24, 2020

Data Connectivity for Low-Code Platforms

by Jerod Johnson

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...

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CData SSIS Tasks in Azure Data Factory
July 14, 2020

CData SSIS Tasks in Azure Data Factory

by Jerod Johnson

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...

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High Performance Drivers for Relational Databases
June 16, 2020

High Performance Drivers for Relational Databases

by Jerod Johnson

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 ...

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Querying SQL Server Customers Table Data in SSMS
April 07, 2020

Introducing the Query Federation Driver

by Jerod Johnson

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...

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Python Logo
April 02, 2020

New CData Python Connectors

by Jerod Johnson

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....

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February 13, 2020

Introducing the CData Connect Cloud Connector for Google Sheets

by Jerod Johnson

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 ...

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January 30, 2020

Introducing the CData Connect Cloud Connector for Looker Studio

by Jerod Johnson

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...

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Extend Databricks Connectivity with the CData JDBC Drivers
January 23, 2020

Extend Databricks Connectivity with the CData JDBC Drivers

by Jerod Johnson

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...

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October 31, 2019

CData Cloud Hub: Live Cloud-to-Cloud Connectivity

by Jerod Johnson

Featured Integrations Oracle NetSuite + Google Data Studio Sage Intacct + SAP Analytics Cloud Microsoft Dynamics 365 + Tableau Online Google BigQuery + Microsoft Flow Business data is increasingly siloed behind different services, often for good reason. You have chosen your cloud storage ...

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