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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: 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: 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: 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…
Reading Time: 3 minutes A plan for migrating organizational data to the cloud is often motivated by three key factors: Economics: In many cases, the costs of “renting” cloud storage and computing power is much less than the cost of purchasing (and then depreciating)…
