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Reading Time: 2 minutes The Pandemic was a wake-up call that the supply chain needs systems and support that keep it resilient, responsive, and adaptive. Traditional data management approaches just won’t cut it, as they rely on physically replicating data from multiple systems into…
Reading Time: 3 minutes The COVID-19 pandemic and the ongoing war on Ukraine have directly impacted the global supply chain, resulting in bare shelves, long lines, unavailable necessities, and higher prices. Fortunately, the supply chain is now showing signs of recovery. On February 8,…
Reading Time: 2 minutes The data lakehouse attempts to combine the best parts of the data warehouse with the best parts of data lakes while avoiding all of the problems inherent in both. However, the data lakehouse is not the last word in data…
Reading Time: 4 minutes “Le roi est mort, vive le roi.” This phrase—the king is dead, long live the king—marks the transfer of power from one monarch to the next. In times of potentially troublesome change, the apparent paradox and inner poetry of these…
Reading Time: 3 minutes Join our conversation on All Things Data with Robin Tandon, Director of Product Marketing at Denodo (EMEA & LATAM), with a focus on how data virtualization helps customers realize true economic benefits in as little as six weeks. Listen to…
Reading Time: < 1 minute The Denodo Platform, based on data virtualization, enables a wide range of powerful, modern use cases, including the ability to seamlessly create a logical data warehouse. Logical data warehouses have all of the capabilities of traditional data warehouses, yet they…
Reading Time: 3 minutes This is an age-old question, and one that has been asked many times over the years. As far back as 2011 Gartner proposed the concept of a logical data warehouse as a way to overcome some of the challenges organizations…
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: 5 minutes Consider a business scenario in which a user wants to determine the sales per month at a product level, and the filter conditions vary for different cases and across different users (So it would require multiple ad hoc queries). If…
Reading Time: 4 minutes Since its first incarnation almost 35 years ago in my IBM Systems Journal article, the data warehouse (DW) has remained a key architectural pattern for decision-making support. By decision-making support, I mean everything from simple reporting and querying to AI-based…
