Blog

Updated April 13, 2023

This blog was written by Dr. Prashanth Southekal, the Managing Principal of DBP Institute (www.dbp­ institute.com), a data and analytics consulting, research, and education firm. He is a Consultant, Author, and Professor.  Author’s Note: This is an update to the…

Updated April 11, 2023

I confess. I had heard the term FinOps batted around for the past few years, but I hadn’t really absorbed its significance.  I started paying more attention after reading some research from Gartner Analyst Adam Ronthal. I was able to…

Updated April 7, 2023

AtScale connects to data where it lies. Whether it’s stored in a data lake like Hadoop or a cloud data warehouse like Snowflake, the data stays where it is. There is no pre-compute, data aggregation, or extracts, which means you…

Updated April 3, 2023

I was recently at the Gartner Data and Analytics Summit in Orlando. As a product leader, it was a great opportunity to meet with many chief data and analytics officers. I also had the privilege of chatting with many data…

Updated March 29, 2023

AtScale VP of Product and data mesh expert, Elif Tutuk, wrote a whitepaper on the principles and benefits of a data mesh approach. She covers what a data mesh is, how it positively impacts business performance, and which specific components…

Updated February 28, 2023

Data storytelling is the process of using data to tell a story and make it more accessible and understandable to a wide audience. Visualizing data and using narrative techniques are important elements of data storytelling. A semantic layer can quickly…

Updated February 23, 2023

This blog is part of a series on Microsoft’s BI and Analytics tools from Greg Deckler, Vice President at a global IT services firm who leads a practice specializing in Microsoft technologies such as Dynamics 365, Power BI, and Azure.…

Updated February 16, 2023

This blog is part of a series from Tobias Zwingmann, Managing Partner at RAPYD.AI. RAPYD.AI lets you easily and quickly build fully-functional AI prototypes or AI MVPs powered by state of the art AI-services from Google, Amazon and Microsoft. Tobias…

Updated February 7, 2023

As we covered in the first three parts of our data mesh series, a successful data mesh approach empowers domain experts to build their own data products with centrally-governed building blocks. And to enable this model, organizations need to facilitate…

Updated February 2, 2023

This blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on enterprise AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products…