April 7, 2023
Using a Semantic Layer to Replace SSAS and SSAS CubesAtScale connects to data where it lies. Whether it’s stored in a data lake like Hadoop or a cloud data warehouse like Snowflake, the data stays where it is. There is no pre-compute, data aggregation, or extracts, which means you…
March 29, 2023
Benefits of Data Mesh and Why They Matter to Businesses TodayAtScale VP of Product and data mesh expert, Elif Tutuk, wrote a whitepaper on the principles and benefits of a data mesh approach. She covers what a data mesh is, how it positively impacts business performance, and which specific components…
February 28, 2023
How a Semantic Layer Supports Data Storytelling ProjectsData storytelling is the process of using data to tell a story and make it more accessible and understandable to a wide audience. Visualizing data and using narrative techniques are important elements of data storytelling. A semantic layer can quickly…
January 31, 2023
How to Implement a Composable Analytics Strategy that Supports your Data MeshAs we covered in parts one and two of this blog series, organizations establish data mesh in order to create more widespread, flexible data access across the entire business. And in order to achieve this, a data mesh approach must…
January 24, 2023
Data Mesh Success Depends on Business-Ready DataThe modern data-driven organization creates, captures, and manages a massive amount of data from many sources. These data assets hold massive potential to generate business value: reducing costs, gaining operational efficiencies, finding new sources of revenue, and outperforming competition. Realizing…
January 19, 2023
AtScale Enterprise AI Predictions 2023As we approach the end of 2022 and reflect on AtScale’s progress over the last 12 months, we asked four of our forward-looking AtScale executives for their thoughts on the broader data, analytics, and enterprise AI markets. Here are their…
January 17, 2023
Using Self-Service Tools To Speed Up Data Product DevelopmentThis blog is part of a series from Vin Vashishta, Founder and Technical Advisor with V Squared. V Squared advises businesses on AI strategy, data product strategy, transformation, and data organizational build-out services. They have helped clients deliver products with…
January 12, 2023
The Definition of Data Mesh: What Is It and Why Do I Need One?Today’s leading businesses prioritize data mesh. The modern data mesh craze ultimately came about to streamline data democratization – that is, making the right data available to the right people at the right time. Democratization is a huge departure from…
December 20, 2022
Using Augmented Analytics for Predictive and Prescriptive AnalysesThere are six key areas for effectively consuming data for business insights: data, access, model, analyze, consume, and insights. For organizations looking to advance in each of these areas, AtScale’s Data and Analytics Maturity Model Workshop explains how teams can…
December 6, 2022
Deploying “Data as Code” Throughout the Entire EnterpriseHow analysts consume data is a key factor in determining how quickly, accurately, and efficiently stakeholders can make data-driven decisions. Without the ability to freely and speedily share data insights, it can take a lot of time, effort, and expertise…
