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Reading Time: 6 minutes The emergence of Large Language Models (LLMs) and Generative AI marks a significant leap in technology, promising to deliver transformational automation and innovation across diverse industries and use cases. Having said that, as everyone races to develop next generation AI…
Reading Time: 4 minutes Organizations are constantly striving to harness the power of their data assets to make informed decisions and gain a competitive edge. This is why data mesh has emerged as a revolutionary approach to managing and scaling data infrastructure. Data mesh…
Reading Time: 6 minutes Data lake, by combining the flexibility of object storage with the scalability and agility of cloud platforms, are becoming an increasingly popular choice as an enterprise data repository. Whether you are on Amazon Web Services (AWS) and leverage AWS S3…
Reading Time: 5 minutes One of the core company and product missions here at Denodo is to enable end-to-end self-service BI by democratizing data management. We believe analytics today is being held back by data management complexity and challenges, and it is through data…
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 The market for data lakes has recently seen an impressive wave of new-generation engines that provide highly efficient processing of very large data volumes stored in distributed file systems, like S3, ADLS and others. With low cost of storage in…
Reading Time: 7 minutes In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data…
Reading Time: 3 minutes If you are in the data management world, you probably help your company to redefine its data analytics architecture, especially in the context of cloud adoption. At some point in the process, someone might have stared at the myriad boxes…
Reading Time: 3 minutes Digital transformation is top-of-mind for executives in all of the major companies. By engaging in digital transformation, organizations can easily leverage digital technologies such as artificial intelligence, interactive applications, and bots, to strengthen their fundamental business models while streamlining interactions…
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…
