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Reading Time: 3 minutes In today’s fast-paced, data-driven world, organizations are always looking for new ways to make the most of their data while keeping it accessible, secure, and cost-effective. That’s where combining a logical data abstraction layer with Snowflake’s powerful data capabilities comes…
Reading Time: 3 minutes Whether you’re making strategic business decisions, optimizing operations, or just trying to stay ahead of the competition, you need your data to be at your fingertips—fast. That’s where the Denodo Platform steps in as your go-to solution for high-performance data…
Reading Time: 6 minutes One of the most common deployments of the Denodo Platform in organizations across the globe is serving as a semantic layer that simplifies data consumption to increase self-service for business users. Three core ideas, working together, enable that scenario: The…
Reading Time: 2 minutes In the ever-evolving landscape of data management, one concept has been garnering the attention of companies and challenging traditional centralized data architectures. This concept is known as “data mesh,” and it has the potential to revolutionize the way organizations handle…
Reading Time: 6 minutes Data Governance as a concept and practice has been around for as long as data management has been around. It, however is gaining prominence and interest in recent years due to the increasing volume of data that needs to be…
Reading Time: 3 minutes IT excels in copying data. It is well known organizations are storing data in volumes that continue to grow. However, most of this data is not new or original, much of it is copied data. For example, data about a…
Reading Time: 8 minutes Learn in 12 minutes: What makes a strong use case for data virtualisation How to come up with a solid Proof of Concept How to prepare your organisation for data virtualisation You’ve already read all about data virtualisation and you’ve…
Reading Time: 3 minutes The business value of applying data science in organizations is incontestable. Prescriptive and descriptive models can help improve business and decision making processes. Data science work can be divided into analytical and data preparation work. Examples of data preparation activities…
Reading Time: 5 minutes We are in the midst of a significant transformation in each and every sphere of business. We are witnessing an Industrial 4.0 revolution across the industrial sectors. The way products are getting manufactured is being transformed with automation, robotics, and…
Reading Time: 2 minutes Too often the design of new data architectures is based on old principles: they are still very data-store-centric. They consist of many physical data stores in which data is stored repeatedly and redundantly. Over time, new types of data stores,…
