April 22, 2025
How Vodafone Portugal Transformed Telecom Analytics with AtScale’s Semantic Layer + CelfocusIn telecommunications, data is abundant, but turning it into useful insights can be extremely difficult. Communication Service Providers (CSPs) operate in a fast-paced, highly competitive market, where success depends on efficiently managing massive volumes of data quickly and reliably. But…
April 10, 2025
Top 5 Considerations When Choosing a Semantic Layer for Modern Data StacksUnderstanding the Challenge: A Day in the Life of a Data Engineer Meet Alex, a data engineer at PrecisionWorks, a global manufacturer managing a large-scale enterprise data ecosystem. Every day, Alex battles: Data silos across CRM, ERP, and third-party systems…
April 9, 2025
Modernizing OLAP for the Cloud: Why Legacy BI Needs a Semantic UpgradeOrganizations that have relied on OLAP cubes for years are hitting a wall. The traditional OLAP approach—great for fast, multidimensional analysis—was never designed for the modern cloud data ecosystem. And with the rise of cloud data platforms like Snowflake, Databricks,…
April 3, 2025
How a Typical Power BI Customer Can Save Millions in Annual CostsThe Rising Cost Challenge for Power BI Customers Organizations across industries rely on Power BI to drive business intelligence and inform strategic decisions. However, as data volumes increase, so do the associated costs. Businesses often face growing expenses related to…
March 25, 2025
Cloud Cost Optimization: Strategies for Maximizing EfficiencyWhat is Cloud Cost Optimization? Cloud cost optimization is the practice of reducing cloud expenses while maintaining performance and scalability. It involves analyzing cloud usage, right-sizing resources, implementing automation, and leveraging cost-saving tools to maximize efficiency. The goal is to…
March 4, 2025
The Semantic Lakehouse for AI/BIKyle Hale, Lead Product Architect with Databricks, coined the term "Semantic Lakehouse" in a 2022 blog. The blog explained how to extend the Lakehouse offering to users at the “top of the stack” leveraging PowerBI. The following year, in a…
AtScale and Databricks first started partnering together in early 2022. At the time, Databricks SQL was relatively new, and many of their customers were still leveraging optional presentation layers to support Business Intelligence workloads. The partnership began to gain momentum.…
February 19, 2025
Announcing the Integration of AtScale and Snowflake Cortex AnalystSummary AtScale and Snowflake Cortex Analyst have joined forces to enable AI-driven natural language querying (NLQ) on governed semantic models. This integration ensures accurate, consistent SQL generation, aligning AI-driven queries with business definitions. AtScale acts as the governance layer, optimizing…
February 11, 2025
How to Write Report-Scoped DAX Expressions Using AtScale Dimensional ModelsIn my last post, I demonstrated the many advantages of using AtScale Models to power your Business Intelligence workloads, including human-friendly SML syntax, Git integration, multi-tool support, zero-extract Live Connections, and proven BI Modeling capabilities. In this post, I'll demonstrate…
January 16, 2025
Open-Source Semantic Layer: Crucial for the Future of AI and BIThe fields of Artificial Intelligence (AI) and Business Intelligence (BI) are undergoing rapid transformation, driven by advancements in machine learning, large language models (LLMs), and data democratization. Amid this evolution, open-source semantics are emerging as a cornerstone for bridging the…
