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Data virtualization is not only beneficial in certain specific areas, but it can really make a difference in any situation in which a lot of data is present on different sources, or when a single data source is very complex, and it must first be integrated and analyzed before it can enable business stakeholders to make decisions. In this post, I will provide a few examples of the benefits that data virtualization brings to three specific industries: The financial industry, telecommunications, and retail.


Data virtualization provides data scientists with integrated real-time views of the data, across all of its existing locations. The best part is that it provides such views without having to move any data from its original locations to a new, centralized repository, such as a data lake or data warehouse.


A major subsidiary of a global insurance and reinsurance company has more than 100 offices across six continents. In this post, I’d like to share this company’s experience with the Denodo Platform.


As SME’s and large-scale enterprises strive and succeed in a competitive, ever-expanding environment of digital transformation and data management, cloud solutions are emerging as the newest saviour in the digital sphere. Cloud computing is known to be one of the most utilized solutions for developing and delivering enterprise applications. When companies are recognizing the need for an operational evolution to manage their process technologies, they are increasingly opting for cloud solutions.


The U.S. Federal Data Strategy, announced last year, is a call for agencies to modernize their data infrastructures. This sounds complex, time-consuming, expensive, and risky, but with data virtualization, agencies can modernize their data infrastructures with significant agility, improving time-to-value, while also implementing robust data governance provisions, to greatly minimize risk.


Data is becoming increasingly important for understanding markets and customer behaviors, optimizing operations, deriving foresights, and gaining a competitive advantage. Over the last decade, the explosion of structured and unstructured data as well as digital technologies in general, has enabled new ways for customers to interact and new business models in the financial services industry.


Credit Agricole is one of the world’s largest cooperative financial institutions, with operations in more than 50 countries and providing a diverse set of financial services including retail banking, cooperative banking, investment banking, private banking, wealth management, and asset management. In this post I’ll describe how the Credit Agricole Corporate and Investment Banking Division (CACIB) leveraged data virtualization to build a logical data fabric that provides an efficient way of integrating data from different business silos to create a shared view of enterprise data.


After my first few days working here at Denodo, I realized that the Denodo Platform is like the conductor’s baton in the orchestra.

Let me explain. If you think about it, the baton is the most powerful instrument in the orchestra. It gives the conductor (who, in my analogy, is the business user) access to all of the instruments in real time. The conductor choses which instrument you hear, when, and for how long. The conductor selects just the right sounds from the orchestral “data set.” The baton is the tool that enables her to do this.


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 . For example, data about a specific customer can be stored in a transactional system, a staging area, a data warehouse, several data marts, and in a data lake. Even within one database, data can be stored several times to support different data consumers. Additionally, redundant copies of the data are stored in development and test environments. But business users also copy data. They may have copied data from central databases to private files and spreadsheets. The growth of data is enormous within organizations, but a large part consists of non-unique, redundant data.


BHP is a global resources company headquartered in Melbourne, Australia. It is among the world’s top producers of major commodities, including iron ore, metallurgical coal, and copper, and has substantial interests in oil and gas. BHP has operations and offices across Australia, Asia, the UK, Canada, the USA, and Central and South America. In this post, I will cover BHP’s experience with the Denodo Platform.

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We do #DataVirtualization We care about #AgileBI, #BigData #Analytics, #Dataservices, #DataManagement, Logical #DataWarehouse Web, #SaaS and #Cloud integration.

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