Knowledge graphs unite data mesh and data fabric architectures
Contrary to popular belief, the most meaningful developments in contemporary data architecture aren’t the rising interest in the concepts of the data mesh or the
Contrary to popular belief, the most meaningful developments in contemporary data architecture aren’t the rising interest in the concepts of the data mesh or the
There are numerous reasons why organizations pursue a “modern data stack.” Some aim to move away from a “silos and spaghetti architecture” described in “Future
Vodafone leverages Google Cloud to deploy AI/ML use cases at scale As one of the largest telecommunications companies worldwide, Vodafone is working with Google Cloud
As businesses generate more and more data each year, figuring out how to gain the most value from that information is a constant challenge. One
While the emerging constellation of next-generation data architectures—fabric, mesh, and cloud—is extremely appealing, it’s still full of unknowns. These approaches present opportunities for greater data
When it comes to customer data platforms (CDPs), there is a lot of talk about the quantifiable benefits. Increased revenue, improved customer engagement and more
While businesses rely on a variety of data storage and analytics solutions, data lakes promise to pave the way toward scalable, flexible, and resilient data
AtScale launched an expanded integration with Databricks that includes support for Databricks SQL and Unity Catalog as well as availability in Partner Connect. Founded in
Feature By 2015, Netflix had completed its move from an on-premises data warehouse and analytics stack to one based around AWS S3 object storage. But
Truly data-driven companies see significantly better business outcomes than those that aren’t. According to a recent IDC whitepaper, leaders saw on average two and a
In the 2010s, organizations became keenly aware that data would become the critical ingredient in driving competitive advantage, differentiation and growth. But to this day,
Too many people in the IT industry rely on the antiquated philosophy that suggests data is the “new oil”. But this cliché fails to capture