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 January 8, 2020
How to Achieve True Big Data Analytics with Today’s DataIn order for big data analytics to work optimally, data must be consumerized–that is, it must be readily available to all stakeholders across the organization in a self-service manner, while ensuring reliability and security. What are the most common barriers…
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 December 12, 2019
How AtScale Makes Tableau Even BetterI consider myself to be an early adopter of Tableau. I discovered Tableau Desktop back in 2007 when I was CTO for Bluelithium. I bought a copy with my personal credit card and expensed it to the company. What I…
Updated September 10, 2019
5 Essential Tips for Successful Cloud Migration (and how to avoid the “Gotchas”)What is Cloud Migration? Cloud migration is the process of moving data and application hosting infrastructure from on-premise data centers to a public cloud hosting service like Amazon AWS, Google Cloud Platform or Microsoft Azure. Migrating your data center operations…
Updated September 9, 2019
Flexible, More Usable Data through Intelligent Data VirtualizationEnterprises migrating to the cloud must go beyond simply “lifting and shifting” data into the cloud and embrace an approach that fundamentally transforms how data will be used. AtScale enables the four important capabilities of intelligent data virtualization: Brings all…
Updated September 6, 2019
The Four Cloud Transformation Capabilities of an Adaptive Analytics FabricAn adaptive analytics fabric has the following four capabilities when bridging the gap between users and data: 1 - Bring all data (silos) to users’ fingertips IT organizations today have common server orchestration tools to manage their on-premises and cloud…
Updated August 14, 2019
How Intelligent Data Virtualization Helps Orchestrate Security Policies Across Your Hybrid CloudData virtualization uses the concepts of abstraction to decouple data-consuming clients from the means of materializing the answers to their questions. Abstraction is the most powerful technique we have in computer science. As users demand more sophisticated software, and business…
Updated August 7, 2019
Five Areas Where Intelligent Data Virtualization Gives Retailers a Competitive EdgeToo many retailers are held back by their IT infrastructure, with key operational data scattered across fragmented systems. These silos and a lack of shared organizational insight put retailers’ competitive edge against both online and brick-and-mortar shops at great risk.…
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…
