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The Role of the Semantic Layer in a Data Fabric Design

The Role of the Semantic Layer in a Data Fabric Design

July 7, 2021 by Dave Mariani AtScale Community, AtScale for Industry

In our first post of this series, we explored the notion of a Data Fabric as a design pattern for assembling technologies and processes to support modern data and analytics infrastructure.   Now that we better understand what data fabric is all about, it’s time to dive into how data fabric plugs into data consumption. After […]

Building a Practical Data Fabric at Scale

Building a Practical Data Fabric at Scale

June 29, 2021 by Dave Mariani AtScale for Industry

Introduction We have written about the concept of the “Data Fabric” in the past. While not new, it is an increasingly cited topic to help organize the many technologies and strategies employed by enterprise data teams to modernize their data and analytics capabilities. It was a popular topic at the recent Gartner Data & Analytics […]

Analytics Query Acceleration in the Age of Cloud Data Platforms

Analytics Query Acceleration in the Age of Cloud Data Platforms

June 22, 2021 by Dave Mariani AtScale for Industry, Big Data Analytics

Late last year, Gartner published their first Market Guide for Analytics Query Accelerators (available with Gartner Subscription).  They loosely define this broad set of technologies as providing “[query] optimization on top of semantically flexible data stores, typically associated with data lake architectures.” AtScale was included as a representative vendor under the “Virtualization” category. Similarly to […]

How Insurance Companies Can Merge Foursquare Places Data with First-Party Data

How Insurance Companies Can Merge Foursquare Places Data with First-Party Data

June 16, 2021 by Daniel Gray AtScale for Industry

Many insurance companies are looking to tap the power of third-party data to gain critical insights into their potential customer base. By blending third-party data with first-party data, these insurance providers can improve their decision-making capabilities through advanced analytics and predictive modeling. These data and analytics capabilities improve the underwriting process and help teams provide […]

AtScale in Action: Scaling Self-Serve BI Program on Snowflake With a Semantic Layer

AtScale in Action: Scaling Self-Serve BI Program on Snowflake With a Semantic Layer

June 10, 2021 by Dave Mariani AtScale Technology, How-to / Tutorial

The ability to access data from Snowflake in a consistent manner is crucial for scaling analytics programs and building a self-service BI culture. In addition to providing control and analytics governance, the AtScale universal semantic layer accelerates BI query performance and helps control runaway compute costs. AtScale forms a single source of truth for important […]

Affinity Federal Credit Union Implements Self-Service Analytics Program

Affinity Federal Credit Union Implements Self-Service Analytics Program

June 9, 2021 by Dave Mariani Use Case

While self-service data analytics requires the right technologies, promoting the use of data throughout an organization demands strong data literacy and non-intrusive governance, as well. During our webinar, How to Scale Self-Service Analytics for Smarter Decision-Making, we spoke with John Ackerman, VP of Data and Analytics at Affinity Federal Credit Union about their success with […]