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Reading Time: 3 minutes2018 is exactly thirty years since I published the first data warehouse architecture. The core concepts of the architecture remain strong and viable. However, the evolution of both business needs and technology solutions over the intervening decades has led to…
Reading Time: 3 minutesPublic clouds and on-premises data centers can now be strategically connected via a strong hybrid architecture, simplifying data integration. If you are in the process of building a virtual data services layer across all of your disparate data sources in…
Reading Time: 3 minutesWhen E.F. (Ted) Codd developed the relational model in the early 1970s, he had a dream. He wanted applications to be independent of the data storage and data access layer. Changes made to one should not lead to changes to…
Reading Time: 2 minutesCompanies cannot make fast, effective business decisions if each department has a slightly different view of customers, products, and other core entities. But gaining a single, unified view is especially challenging when companies engage in rapid evolution, and they introduce…
Reading Time: 5 minutesIn this post, I will introduce the idea of the logical data lake, a logical architecture in which a physical data lake augments its capabilities by working in tandem with a virtual layer. In subsequent posts in this series, I’ll…
Reading Time: 3 minutesMany organizations today have either already created or are in the process of creating a data lake. There are of course multiple configurations of a data lake including: A centralized data lake typically on a single data store such as…
Reading Time: 3 minutesThe recently published The Forrester Wave™: Big Data Fabric, Q2 2018 highlights the need for an integrated infrastructure – the ‘fabric’ – to support your big data. In the headlong rush to create data lakes and other big data architectures, organizations…
Reading Time: 2 minutesThe current data-volume explosion can be traced back to a time when our society began to focus more on customers as individuals. We see ourselves as independent, unique people with free will, not bound by social conformity. Catering to that…
Reading Time: 2 minutesNo one likes to wait for IT to deliver reports that are critical for analysis. And certainly, no analyst can afford to wait while emails are sent back and forth, just so they can get the data they need. Unfortunately,…
Reading Time: 4 minutesRecent studies have shown that data scientists and business users performing self-service data analysis (citizen analysts) spend 80% of their time trying to discover, access, and integrate data. In other articles, I discussed how data virtualization (DV) plays a key role in…
