Industry Insights

Query Execution
August 16, 2023

CData Architecture: Query Execution

In Part 4 of his blog series on CData Driver architecture, Tomas Restrepo focuses on the data access stack, as well as provider implementation.

A New Approach to Data Virtualization for the Cloud
August 16, 2023

A New Approach to Data Virtualization for the Cloud

As data virtualization (DV) has evolved to encompass the abstraction of live cloud data across diverse applications and platforms, CData Connect Cloud delivers a fresh approach to DV for the cloud with a fully managed SaaS solution.

Core Driver Services
August 8, 2023

CData Architecture: Core Driver Services

In the third post in his series, CData CTO Tomas Restrepo covers some of the services implemented in the CData Driver code to simplify the development of our new drivers.

data virtualization
August 1, 2023

Data Integration vs. Data Virtualization: What’s Best?

As organizations grapple with ever-expanding amounts of data, they need to find ways to manage, integrate, and analyze information stored in one or more cloud services or on-premises—sometimes both—to make sense of it. There are two main approaches to meeting this challenge: data integration and data virtualization —but which one is best?

MarTech Data Strategy
July 31, 2023

Modernize Your MarTech Data Strategy with Cloud Data Management Solutions

Managing an ever-growing MarTech ecosystem and leveraging growing volumes of data to create meaningful reporting processes has become increasingly difficult for marketers and the IT teams that support them. CData real-time data connectivity solutions can help your marketing team access, analyze, and leverage their data more effectively.

cdata virtuality
July 24, 2023

Navigating the Complexity of Data Management: A Comparative Analysis of Data Lake Engines and Data Virtualization

Enterprises grapple with an immense volume of data from a variety of sources, residing on diverse platforms. It’s a common challenge faced by many businesses in today’s data-centric world.

CData Architecture
July 6, 2023

CData Architecture: Supporting Multiple Technologies

This second installment of our driver technology blog series gives you a glimpse into our driver architecture. This architecture allows us to create CData Drivers that function consistently across technologies, with updates and improvements being supported across the board.

Driver Development
June 21, 2023

Key Considerations for Data Driver Development

The first in a series of blog posts where we take a look at our driver technology, and how we build our products. CData offers drivers for 300+ data sources, across various technologies like ODBC, JDBC, ADO.NET, and more.

June 2, 2023

Microsoft Build 2023 Highlights: A Data Driven Perspective

Microsoft’s annual developer conference, Microsoft Build, was held last week in Seattle. As expected, Microsoft announced several exciting announcements, ranging from Windows to Azure to the Power Platform. But for data-driven organizations especially, a few announcements really stood out.

Microsoft Dynamics
May 18, 2023

Conquer the Lingering Scars of Microsoft Dynamics Cloud Migration

Migration to the cloud has not been an easy road and has left long-lasting scars on many companies using Microsoft Dynamics. Because Dynamics on-premises applications were mature in the market, many customers had been using the systems for a decade or longer. We're outlining the specific pain points, and how real-time data connectivity solutions can help.

Hybrid Cloud
May 9, 2023

Hybrid Cloud: The Model of Choice for Digital Transformation

Hybrid cloud offers an ideal model to drive digital transformation in ways that allow businesses to maintain control of operational data, while encouraging modernization in the cloud.

Mastering Google Analytics 4 Multidimensional Data Analysis
May 2, 2023

Mastering Google Analytics 4 Multidimensional Data Analysis with CData Predefined Reports

CData Connect Cloud connects to Google Analytics 4 data from your favorite BI or reporting tool, transforming the GA4 multidimensional data into a relational data view and making it easier to get the data you want from GA4 into your analytics platform with CData GA4 predefined reports.