The EU AI Act assigns obligations based on risk categories and AI value chain roles. Learn its context in the wider EU regulatory landscape and its key components.
In 2026, AI success depends on turning strategy into execution. Learn how organizations can move beyond pilots and build scalable, governed AI with real business impact.
AI is transforming business intelligence, shifting focus from static dashboards to dynamic, decision-centric analytics. Explore what this means for organizations.
In Power BI, like in quite a few other analytics tools as well, there have always been challenges when moving to really large amounts of data. Like now, for example, analyzing a table with a billion rows. This kind of problem has usually been attempted to be answered by storing part of the data in the memory of the analytics tool, which is usually limited, and then directing detailed queries to a database. A few years back, while testing how Databricks would perform against Power BI's direct queries, I was disappointed. The speed was not as expected. And I also heard a similar comment like this last week from a report developer. But surely things must have improved somewhat in last couple of years?
Press release Embargo 27/12/2022
Tuomo Riihentupa, the new CEO of Cloud1
There are many different services on Azure that are used for IIoT solutions. Playfully I call this versatile stack as a jungle. Read to find out more!
There are many different services on Azure that are used for IIoT solutions. Playfully I call this versatile stack as a jungle. Read to find out more!
Using Pandas profiling in Databricks to run data quality analysis on a data set and evaluating the produced report.
Microsoft Power Platform is a set of applications used to automate processes, build custom applications, visualize data and distribute reports.
Creating a custom expectation with Great Expectations framework and evaluating Great Expectations from a data platform architect´s point-of-view
Whether small or large, every organization can have a lot to gain, if they decide to utilize advanced analytics.
Looking for a good candidate for data quality framework? One of the more promising ones is Great Expectations.
A lakehouse is a new, open architecture that combines the best elements of data lakes and data warehouses.
How can Databricks Data Lakehouse be created with low code implementation? This code creates a mount that will be used as storage for delta tables.