Updated November 12, 2019

The Future of Data Warehousing

Surprise! You never would have guessed the future is in the cloud. We should not be overly concerned with “the future” of data warehousing. The past five years have brought fundamental new capabilities at the platform level and most organizations…

Posted by: Matthew Baird

Updated October 9, 2019

How Digital Transformation Enables Big Data Analytics

There's sometimes a misconception in the understanding of Big Data. Isn't is just analytics? They're related, but in this movement, data has become not only bigger but more complex meaning that anyone seeking to glean intelligence from Big Data must…

Posted by: Wendy Boucher

Updated August 5, 2019

Supercharge your DataOps: CIO and CDO unite to create a shared data intellect

Embracing DataOps DataOps seeks to realize the insight-driven business by creating better ways to develop and deliver analytics across organizations. DataOps emphasizes interactions, working analytics, customer collaboration, experimentation and cross-functional ownership over tools, documentation, contracts, upfront design and siloed responsibilities…

Posted by: Charlie Wong

Updated August 2, 2019

Cloud Data Warehouse Modeling: Traditional vs. New

What is a Cloud Data Warehouse? A cloud data warehouse is a database delivered in a public cloud as a managed service that is optimized for analytics, scale and ease of use. Cloud native data warehouses like Snowflake, Google BigQuery,…

Posted by: Dave Mariani

Updated June 24, 2019

Why AtScale Wins in the Cloud Data Platform Ecosystem

Technology is risky. I understand risk. It was risky starting a company. It was risky for our amazing investors to invest in us. Risk is part of life and cannot be avoided because with risk comes the potential for reward.…

Posted by: Matt Baird

Updated June 19, 2019

Can the Cloud Rescue Retail?

The retail category is in a ride-or-die situation when it comes to the cloud. Many retailers, under pressure from Amazon and the growth of eCommerce, have already gone out-of-business. In fact, more than 7,000 brick-and-mortar locations have closed so far…

Posted by: John Gaffney

Updated June 13, 2019

Real-Time Data: Satisfying the Need for Speed in BI

Better Business Intelligence performance for faster time to insights Business Intelligence (BI) and Multidimensional Analytics (MA) transform how enterprises make decisions by delivering insights across the entire business, including sales, marketing, human resources, and other critical operations. These insights are…

Posted by: Chuck Smith

Updated April 19, 2019

Analyzing Gartner’s 2019 Magic Quadrant for Analytics

On February 11th, 2019, Gartner released its latest magic quadrant for analytics and business intelligence platforms. As we’ve done since 2016, we will highlight who Gartner considers the market leaders to be, as well as any notable changes and constants…

Posted by: Dan Schulwolf

Updated March 11, 2019

Conceiving Valuable Data Driven Insights

How valuable is an insight if you don’t know what’s driving it? The investment in big data made in recent years by companies has been significant. Many are now looking to capitalize on the insights to be discovered in their…

Posted by: James Burr
Guide: How to Choose a Semantic Layer
The Ultimate Guide to Choosing a Semantic Layer