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Reading Time: 11 minutes Organizations today have an opportunity that’s too good not to seize. If they could access the full wealth of their data that is distributed across cloud and on-premises systems, they could leverage enterprise data to achieve several compelling benefits. These…
Reading Time: 2 minutes As we head into the new year, organizations should be aware of the latest trends in data management. Here are my top five trends to keep an eye on in 2023: 1. Data Democratization Organizations are giving more of their…
Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of…
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,…
Reading Time: 4 minutes What do data virtualization, streaming, and extract, transform, and load (ETL) processes have in common? They all deliver data from disparate sources to the business intelligence (BI), analytics, and other applications used by businesspeople, data scientists, and analysts. Like utilities,…
Reading Time: 3 minutes I have long been an advocate of integrating data quality techniques as a core component of an organization’s end-to-end data processes. When I began evangelizing data quality management about twenty years ago, the common practices for data quality involved post-processing…
Reading Time: 2 minutes The Magic Quadrant (MQ) is a well-known and influential series of research reports published annually by the IT research and consulting firm Gartner, Inc. These reports provide overviews and actionable insights regarding market direction, shifts, and players in various major IT markets…
Reading Time: 6 minutes When creating an enterprise data layer using data virtualization some of the questions that usually came up are, what are the options for metadata management and how to provide data governance now that everything is accessed from a new unified…
