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Reading Time: 2 minutes The concept of big data is funny to me. It is funny because there isn’t any small data when it comes to large corporations. 99% of the companies we work with have big data and it is getting bigger. Companies’…
Reading Time: 3 minutes 2018 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: 6 minutes In the previous article we reviewed the architectural elements of the virtual data lake, dug deeper into its technical implications. In this post, we will review the architectural elements of the virtual data lake, and will discuss why a virtual…
Reading Time: 4 minutes Believe it or not we are now over 25 years into building data warehouses and many companies around the world have very well-established systems supporting query, reporting and analysis of historical master and transaction data that has been captured from…
Reading Time: 3 minutes Having advanced caching mechanisms is a key capability of an enterprise-class Data Virtualization platform. Cache in a data virtualization environment is used in different situations: Protect the data source from excessive loads or spikes of queries Avoid performing complex and/or…
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: 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 In today’s world, the most important aspect of enhancing your consumer experience is understanding your customer—and the best way to understanding them is from their data. Master Data Management As consumers interact with your business, you capture data central to…
