As an industry, we’ve been talking about the promise of data lakes for more than a decade. It’s a fantastic concept—to put an end to data silos with a single repos­itory for big data analytics.

Handling large amounts of data is a prerequisite of digital transformation, and key to this are the concepts of data lakes and data warehouses, as well as data hubs and data marts. In this article, we ...

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On many TV shows and movies, there’s that character that’s back in the security operations center at headquarters or is working on a laptop outside the action in a van, the technical member of the ...

In today’s technology landscape, it’s clear that both observability and data platforms are required to satisfy an organization’s needs at scale. That’s made especially true in a cloud-native world, ...

Responding to the increasing size of data analysis projects, but also to its customers desire to trim their budgets on cloud spend, Microsoft on Tuesday unveiled Fabric, what it bills as an "an end-to ...

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Unstructured data is proliferating massively. It is growing in volume by more than 50% a year, and according to IDC, it will form 80% of all data by 2025 and does so already for some organisations.

First, there was a data warehouse – an information storage architecture that allowed structured data to be archived for specific business intelligence purposes and reporting. The concept of the data ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...