Updated July 27, 2020
How To Reduce Cloud Compute Costs and Boost BI PerformanceIn our most recent webinar, Mark Stange Tregear, VP Analytics of Rakuten and Dave Mariani, Co-Founder and Chief Strategy Officer of AtScale share five tips to increase the ROI of your Snowflake investment while reducing compute costs. Mark shares Rakuten…
Updated May 19, 2020
How Boston Children’s Hospital Enables Public Health Officials to Analyze COVID-19 DataCreated by experts at Boston Children’s Hospital and Harvard Medical School, COVIDNearYou.org collects input from people feeling healthy (and finds out whether they have received or plan to receive a flu vaccine), and from those not feeling well, asking for…
Updated February 11, 2020
Intelligent Virtualization for RetailI’m really excited about our latest release of the AtScale platform, 2020.1. This release delivers new, powerful capabilities, including the ability to combine data across different data sources in a single virtual cube. AtScale’s Intelligent Data Virtualization means that you…
Updated December 23, 2019
Security & Governance in ActionSecurity and governance are top of mind in an era where data is everywhere and bad actors are trying to steal it. But it’s not just hackers we need to worry about. Providing inappropriate data access to people inside the…
Updated August 2, 2019
Cloud Data Warehouse Modeling: Traditional vs. NewWhat 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,…
Updated July 18, 2019
Interactive, Large Volume AI/ML Queries At Scale And Without Data Movement for Self-Service Analytics EmpowermentAtScale’s 2019.2 product release introduces a time-series and time-relative analysis capability for large volumes of data across disparate databases and platforms. This enables data analyst and data science teams to easily access large volumes of time-series data and quickly query…
Updated June 24, 2019
Why AtScale Wins in the Cloud Data Platform EcosystemTechnology 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.…
Updated June 13, 2019
Real-Time Data: Satisfying the Need for Speed in BIBetter 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…
Updated May 6, 2019
Seamless Adoption of Snowflake in the Cloud: Rakuten with AtScaleEvery new enterprise solution introduces a multitude of problems. For the enterprise, the solution that has introduced the most complexity to the business has been cloud transformation. According to IDG, 73% of organizations have at least one application, or a…
Updated March 11, 2019
Conceiving Valuable Data Driven InsightsHow 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…
Updated March 4, 2019
TECH TALK: BI Performance Benchmarks with BigQuery from GoogleIn the world of Business Intelligence and Big Data there continue to be a number of exciting innovations as new and improved options for processing large data sets appear on the market. You may be familiar with AtScale’s BI-on-Hadoop Benchmarks…
Updated February 12, 2019
How to Connect Excel and Google BigQueryDespite the existence of a plethora of data analytics tools, Microsoft Excel is still the preferred choice for many analysts working with data. With the continued growth of data, as well as migration to the cloud, accessing the data necessary…
