DBTA

From legacy infrastructures to public clouds, the average enterprise has data spread across different locations, file systems, databases, and applications—and the volume and sources of that data is constantly growing. As a result, while most organizations want rapid access to meaningful, actionable information, effectively integrating and governing data is becoming more difficult.Download this special report for best practices in developing a forward-looking data integration and governance strategy.

As data environments continue to grow more diverse, distributed, and complex, the need for agile data management has increased proportionally. To maximize the value of their data, organizations need to make it available to users where and when it's needed—fast, easy access is the mandate. This requires rethinking traditional data management practices.In response, data fabric has emerged as a new design concept aimed at solving the persistent challenges of integrating, governing, and sharing data across the enterprise. Through a unified architecture and combination of data services and...

Data fabric is a term used to describe a set of technologies, services, and strategies that provide ‘a unified and reliable view’ of data spanning hybrid and multi-cloud environments. Eliminating data silos, surfacing insights more effectively, and increasing the productivity and value of data are some of the ways data fabric can improve data management at organizations.Download this special report to dive into building a data fabric, including key components, challenges, and emerging best practices.

Cloud computing got its start promising greatly reduced complexity for enterprises mired in the spaghetti architectures of multiplatform and multi-function on-premises systems. Lately, the opposite is happening, as cloud environments have become even more complex.These days, just about every cloud-based infrastructure relies on more than a single cloud provider. A multi-cloud approach is the de facto standard among organizations, according to Flexera’s 2022 State of the Cloud Report. Eighty-nine percent of respondents reported having a multi-cloud strategy, and 80% are taking a hybrid...

Okay, you’re moving, or have moved, to the cloud. How do you handle the data that will be moving in and out of these cloud environments, back and forth from on-premises systems, or even from cloud to cloud? That’s the challenge facing data managers and their enterprises as they increasingly engage cloud services and resources to develop their analytical capabilities.This calls for stepped-up data governance, or the effort to assure the integrity, security, and applicability of data that is generated or stored in cloud platforms—along with on-premises environments. 

Are organizations ready for the real-time revolution? Somewhat - but they are only just beginning to embrace it. Typically, business decision makers have had to analyze historical data to assemble patterns that might predict upcoming events. However, with the advent of real-time data and analytics, insights on present events, and the use of leading-edge AI technologies, inferences may be drawn about future events.

As more organizations migrate some or all of their data to the cloud, logical data fabric, an emerging data architecture, becomes increasingly important. This is because, in both hybrid and multi-cloud environments, data will always be somewhat distributed, and traditional data management approaches have not been able to adequately address that challenge. Read this article to gain insight of the role logical data fabric has in managing hybrid cloud, multi-cloud, and other distributed data environments.

Big data and the technologies that were built around it have changed the rules of the game for data integration and management. Intelligent business insights derived by combining data from anywhere, at any time, and delivered in any format give organizations the agility to function more efficiently and deliver superior products and services. Download this article by DBTA to learn how an analytics-ready Hadoop repository for big data and the Denodo Platform for data virtualization can provide your organization with the ability to turn data into a powerful resource for business transformation.

Media Alert: Palo Alto, California, August 4, 2015 -  Database Trends and Applications (DBTA) Magazine today announced Denodo as the winner for the Best Data Virtualization Solution. The DBTA Readers’ Choice Awards reveal the industry’s best information management solutions based on votes by the people. With more than 22,000 votes across 29 categories, the program represents one of the most prestigious award competitions in the industry and celebrates both longstanding products and game-changing new technologies.In addition to the receiving first place for the Best Data Virtualization...

The IT industry continues to expand at a brisk pace with a steady influx of innovative products and technologies to help organizations extract value from data, integrate it with new and traditional sources, as well as ensure quality and security.