Discover how a bimodal integration strategy can address the major data management challenges facing your organization today.
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CData + Tableau bring Zero-ETL integration and analytics to Workday
At CData, our focus is on helping organizations connect any data across their stack, and Workday has long been one of the most customer-requested data sources for connectivity solutions. CData’s collaboration with Tableau enables customers to integrate and analyze Workday data without an ETL process.
Workday Wednesday: CData Helps Top Organizations Work Better with Workday
The latest installment of our Workday Wednesday series highlights real-life use cases demonstrating how CData can help you make the most of your Workday data.
Workday Wednesday: Combining Sales and HR Data in Workday and AWS
In this article, we'll show how an organization can easily view its Workday data in AWS QuickSight alongside its sales projections to ensure it continues to meet profitability goals.
Workday Wednesday: Resolving Workday Integration Challenges
To make Workday its most effective, it needs to be aligned properly with existing processes. CData Workday Drivers enable you to connect from Workday data to any of your favorite analytics tools, without having to learn how to navigate through another interface.
Data Gravity: What Is It and How to Manage It
Data is constantly collected and concentrated, which attracts more data. We call this data gravity. Discover the meaning and effects of data gravity today.
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
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.
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 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?