During a recent house move I discovered an old notebook with metrics from when I was in the role of a Data Warehouse Project Manager and used to estimate data delivery projects. For the delivery a single data mart with supporting Reports and Dashboards, with 6–8 dimensions and a handful…

Software systems designers often structure their thinking around the underlying functional and data/information components of their desired applications. This approach — analogous to the scientific method of breaking a system into its smallest sub-parts in order to understand how it works — forms the basis of traditional architectural patterns, such as the data warehouse, as we saw in part II of this series. Data fabric, as seen in part I comes from similar thinking. The data lakehouse, on the other hand, appears to derive its functional foundation more from existing products than decomposition of functionality. Now, time to talk about Data Mesh.

Read more in https://www.datavirtualizationblog.com. Originally published on December 16, 2021

The world is becoming more and more digital, isn’t it? But do you wonder what the future of data strategy looks like?

Data exploration and analysis can bring enormous value to a business. End consumers and institutions can both benefit from analytical solutions. Just as society is in constant technological evolution, the volume and diversity of information is also in continuous expansion. So, the question remains: what is the future of data strategy?

In this post, you will learn the answer to this question.

Read more in https://www.datavirtualizationblog.com. Originally published on December 9, 2021

The pandemic has forever changed the way we live and do business. Practically overnight, organizations have been forced to adapt by modernizing their data architecture to support new types of analysis and new ways to connect to data. To gain a clearer view into their rapidly evolving businesses, companies have been looking beyond traditional data sources. Throughout these profound changes, Newcomp has been designing and building data architectures that enable organizations to thrive in this new, rapidly evolving environment.

Read more in https://www.datavirtualizationblog.com. Originally published on December 2, 2021

The market for data lakes has recently seen an impressive wave of new-generation engines that provide highly efficient processing of very large data volumes stored in distributed file systems, like S3, ADLS and others. With low cost of storage in those cloud file systems, these technologies enable a very cost-efficient system, especially when compared with traditional EDW. But the data lake engine is just one piece of a data lake strategy. And how cost-efficient is your data lake strategy?

Read more in https://www.datavirtualizationblog.com. Originally published on November 25, 2021

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