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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 Public 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 minutes Organizations are challenged by a complex mix of data sources, so they struggle to harness trusted, actionable insights in a timely manner. To more effectively keep up with business expectations, they need a nimble technology like data virtualization, which enables…
Reading Time: 2 minutes Ever since 2015, when the price of oil dropped precipitously, oil and gas companies have had to find every opportunity to reduce expenses while maximizing every available revenue source. For Anadarko Petroleum Corporation, this meant transforming its analytics capabilities, which…
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: 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: 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…
