The Semantic Lakehouse for AI/BI
Kyle 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”…
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The AtScale & Databricks partnership: A long time ago in a galaxy far, far away….
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…
Announcing the Integration of AtScale and Databricks AI/BI Genie: Redefining Natural Language Query Accuracy
Summary: 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…
Open-Source Semantic Layer: Crucial for the Future of AI and BI
The 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…
Building Time Series Analysis on Snowflake with a Semantic Layer
In a recent post , we discussed how a semantic layer helps scale data science and enterprise AI programs. With massive adoption of Snowflake’s cloud data platform, many organizations are shifting analytics and data science…
Your Questions Answered: TPC-DS Benchmark for Power BI/Direct Lake
I’ve received quite a bit of feedback since releasing our TPC Benchmark on Power BI/Direct Lake report a few weeks ago. In online forums and in conversations with customers, prospects and partners, I collected the…
Bridging the Gap: PowerBI on Snowflake
AtScale has a strong history of collaboration and innovation with Microsoft, and was the first semantic layer platform to introduce native support for Microsoft’s Data Analysis Expressions (DAX) query language. This support lets Power BI…
How to Streamline Data Science Workloads and Feature Engineering in Snowflake
Our partnership with Snowflake has drastically sped up our customers’ data processing capabilities by eliminating the need for tedious data engineering tasks. By driving workloads directly to Snowflake, users can create accelerated time-to-prediction rates and…
Getting Started with a Semantic Layer on Snowflake | AtScale
More than a decade into the big data era, data quality is still the top obstacle for data teams. Over 56% of data professionals cite poor data quality, incomplete, inconsistent, or outdated, as their most…
AtScale + Snowflake: Enable Dimensional Analysis in the Data Cloud
AtScale’s partnership with Snowflake has dramatically expanded our customers’ data processing capabilities — guiding them toward analytics modernization. From delivering analysis-ready data to extending legacy tool services through dialect support, data practitioners can now deliver…