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CData Blog
Q&A with CData Product SVP Mike Albritton: What’s New in Connect Cloud
We recently chatted with CData SVP, Cloud Mike Albritton to unpack our latest CData Connect Cloud updates. Get a peek into the product team’s vision for the release and what our customers can look forward to in the future.
New Enterprise-Grade Data Exploration and Security Features in CData Connect Cloud
In our latest product update, we are adding several new data exploration and security features designed to improve the onboarding experience, providing you with customizable views into your enterprise data, and giving IT administrators more control over who is accessing data.
APIs vs. SQL-Based Connectivity: What's The Difference
Explore the nuances and functionalities of both API and SQL, unraveling their distinctive roles in data management and communication protocols.
Drivers in Focus: Connectivity for the Oracle Ecosystem
Explore CData connectivity solutions with Oracle to learn more about how our technologies enable any user to work with their data exactly where and how they need to.
Snowflake Data in Action with CData
Every organization has its own custom blend of applications and systems with unique connectivity needs. Fortunately, CData enables you to tailor any of your existing systems for seamless connectivity to Snowflake and beyond.
Drivers vs. Connectors: Diving Deeper into Standards-Based Connectivity
In this article, we’ll explore the differences between data drivers vs. connectors, and how these solutions are giving teams simple, real-time data access.
Enable Connectivity Agility for Data-Driven Enterprises
As organizations push to drive business decisions with data, new opportunities are obscured by unprecedented IT challenges. To help more organizations chart a more agile path toward data-driven decisions, we invited 451 Research to unpack these challenges in a recent webinar.
How Data Literacy Boosts Self-Service Analytics Success
Explore why and how your organization can simplify data literacy by embracing no-code data connectivity tools and self-service data workflows.
Dissecting the Modern Data Stack
As the “modern data stack” concept turns a decade old, many data professionals recognize that it should evolve to match today’s data challenges.