Reading Time: 4 minutes In the previous article we reviewed some of the pros and cons behind the data lake ideas, as well as the reasons why a logical architecture like the virtual data lake addresses some of those issues. In this section, we…
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 Oil and gas companies rely on timely intelligence to guide daily drilling, investment, and business development decisions. This is why Enverus, which gathers information from a variety of sources and leverages it to develop enriched intelligence, packaged specifically to meet…
Reading Time: 3 minutes Immerse yourself in a virtual reality like experience for two exciting hours, where you will learn the latest and the greatest features of the Denodo Platform using a real-life example on AWS Cloud. The Test Drive will walk you through…
Reading Time: 4 minutes The Magic Quadrant (MQ) is an influential series of reports published annually by the IT consulting firm Gartner, Inc. The latest edition of the MQ for Data Integration has been recently released (you can read it here) and it identifies…
Reading Time: 3 minutes When 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 minutes Companies 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 minutes In 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 minutes Many 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 minutes The 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…
