Updated February 27, 2025
The Current Challenges in Big Data: Navigating the Complexities of a Data-Driven WorldIn this digital age, big data is both an opportunity and a challenge for enterprises. While the insights derived from big data can drive innovation, improve customer experiences, and streamline operations, the complexities of managing, processing, and analyzing massive datasets…
Updated February 25, 2025
Announcing the Integration of AtScale and Databricks AI/BI Genie: Redefining Natural Language Query AccuracySummary: AtScale now integrates with Databricks Genie, enabling AI-driven natural language querying (NLQ) with governed, business-defined accuracy. Genie enables business users to query data in plain language, while AtScale ensures AI-generated SQL queries align with business definitions. AtScale’s semantic layer…
Updated 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…
Updated February 13, 2025
Simplifying Snowflake Access for Excel Users: Implementation StrategiesDespite heavy investment in Snowflake’s modern data platform, many organizations still struggle to give Excel users smooth, efficient access to that data. The result? Data extracts, stale numbers, and inconsistent reporting across the enterprise. This guide outlines innovative implementation strategies…
Updated 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…
Updated February 6, 2025
The Top 5 Software Quality Metrics and How a Semantic Layer Elevates Enterprise Data and AnalyticsIn the fast-paced world of modern enterprises, software quality is the cornerstone of successful data and analytics operations. Reliable, efficient, and secure software ensures organizations can turn raw data into actionable insights, empowering decision-making and innovation. This blog explores the…
Updated January 23, 2025
Using AI for Data AnalyticsAI has become increasingly popular among online users in the past several years. With the rise of generative AI tools like ChatGPT, AI has seemingly taken over the internet. Its use cases seem nearly unlimited, ranging from content generation to…
Updated 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…
Updated January 9, 2025
Accelerating Business Outcomes with Turnkey Data Products in Cloud MarketplacesAs the CTO of AtScale, I’ve had a front-row seat to the rapid evolution of data and analytics technologies. In today’s fast-paced business environment, organizations are under increasing pressure to derive actionable insights from their data as quickly as possible.…
Updated January 7, 2025
Empowering Telcos with a Semantic Layer: How AtScale Supports Data DemocratizationThe telecommunications industry is undergoing rapid transformation, fueled by the massive growth of data and an increasing demand for data-driven decision-making. However, many organizations still face challenges in equipping their teams with the right tools and infrastructure to leverage this…
