Dave is the founder of AtScale and is the Chief Technology Officer. Prior to AtScale, he was VP of Engineering at Klout & at Yahoo! where he built the world’s largest multi-dimensional cube for BI on Hadoop. Mariani is a Big Data visionary & serial entrepreneur.
April 29, 2021
Make Power BI Shine on Snowflake, BigQuery & RedshiftAttention Power BI enthusiasts, what I am about to say is huge! AtScale now lets you get Live Query access to cloud data warehouses within a full, multi-dimensional model. This means you get live access to your cloud data with…
April 21, 2021
The Data & Analytics Maturity Model: What is It and Where Does Your Team Stand?We’re living in an age where data drives organizational success. In the past, most organizations could get by with a central IT team doling out reports and dashboards to business users. That just doesn’t cut it anymore. The self-serve analytics…
March 22, 2021
How SlickDeals Leveraged a Semantic Layer to Enable Self-Service Business IntelligenceRecently, we hosted a webinar with Greg Mabrito, Director of Data and Analytics at Slickdeals, a user-driven deal-sharing site enabling consumers to collaborate and share info to make savvier online shopping decisions. In the session, which you can watch in…
March 15, 2021
Using ‘Data-Sharing’ to Make Smarter Decisions at ScaleI was recently asked “what advice do you have for data-driven leaders on making smarter decisions at scale in their organizations?” I thought it was a fantastic question and there were so many things that came to mind from X…
February 17, 2021
How To: Blend Data from Salesforce, Google Analytics, and Marketo with the Universal Semantic LayerOur first webinar of 2021, co-hosted by Cat Origitano of FiveTran, a trusted AtScale technological partner, covered one the the most trending topics in the Marketing and Sales space today - “How do I blend incoming data from my MarTech…
December 8, 2020
Five Ways to Improve Your Analytics ROI on SnowflakeFor practical reasons, it is increasingly difficult—and sometimes impossible—to perform large-scale analytics with an on-premises data warehouse. Scaling physical hardware to the needs of your customers is so cost intensive that you might well find yourself running a data center…
September 16, 2020
Google BigQuery Benchmark Results: A Closer LookLet’s talk about the results. In our most recent webinar with bol.com, Maurice Lacroix, BI Project Owner of bol.com and I shared how Maurice and his team are increasing the ROI in their Google BigQuery investment while boosting their BI…
August 4, 2020
Consider This When Managing Your SnowflakeIn a recent webinar, Mark Stange-Tregear of Rakuten Rewards and I discussed how to control costs and manage your cloud data warehouse environment. Mark made some excellent suggestions for how to better manage your Snowflake environment. A lot of the…
July 17, 2020
Four Ways to Implement a Universal Semantic LayerIf you have been following our content for a while, you are most likely familiar with the concept of a Universal Semantic Layer™. What are the options for delivering one? In a recent webinar, I shared four ways. Option #1:…
June 29, 2020
The 1990’s Called, They Want Their OLAP Back*Author’s Note: This is an update to the blog post “The 1990’s Called, They Want Their OLAP Back,” originally published in June 2020. For the modern cloud-first data pro, the terms “OLAP” and “cube” are dirty words. That said, many…
June 5, 2020
Excel with Google BigQueryI hear it all the time. Many enterprises hate Excel because it’s an analytics “free for all” but the business users love it and can’t live without it. No matter what BI tools an enterprise may have, ultimately, that last…
April 8, 2020
3 Things to Watch Out For with Google BigQuery for Cloud AnalyticsHave you either chosen Google BigQuery as your cloud data warehouse platform or you are considering doing so? The good news is that Google BigQuery is a great data warehouse platform that I highly recommend. However, there are some major…