Browse our comprehensive glossary of terms and definitions to better understand the semantic layer. Enhance your knowledge on data integration and management.| AtScale
Solve retail Week 53 calendar challenges with AtScale's tool-agnostic semantic layer approach. Eliminate complex DAX code and ensure consistent YOY comparisons across Power BI, Tableau, and Excel.| AtScale
Discover the definition of data transformation from AtScale. Learn its role in data processing and explore data transformation tools for efficient workflows.| AtScale
Discover how AtScale integrates data virtualization into a semantic layer to support BI and analytics to help organizations make smarter, data-driven decisions.| AtScale
Discover what a semantic model is and its definition. Learn how it facilitates better understanding, communication, and data interoperability.| AtScale
Discover what a Natural Language Query (NLQ) is. Explore how it works, its benefits, real-world applications, and how NLQ simplifies data access for everyone.| AtScale
Discover what data extraction is from AtScale. Learn the definition, its purpose, and how it helps in retrieving and utilizing data for analysis and reporting.| AtScale
Discover why a semantic layer is essential for scalable AI, governed analytics, and trusted decision-making. Learn key insights from industry analysts at the 2025 Semantic Layer Summit.| AtScale
Learn what data engineering is, its core responsibilities, benefits, and tools. Discover how it powers analytics and supports data-driven decisions.| AtScale
Learn what ETL (Extract, Transform, Load) is, how it works, and its benefits. Discover tools, best practices, and how to optimize ETL for better insights.| AtScale
Explore the essentials of Structured Query Language (SQL) and learn how it powers database management and data manipulation. Learn more from AtScale.| AtScale
Discover the top 5 considerations for selecting a semantic layer that unifies data, improves performance, and supports AI-driven analytics.| AtScale
From predictive analytics definition to real-world examples, see how teams make smarter decisions — and how AtScale brings predictive power to life.| AtScale
Learn what Text to SQL is. Find out how it works, its benefits, and how it simplifies database queries and empowers non-technical users with data access.| AtScale
Get the definition of data visualization from AtScale. Learn about data visualization tools, their purpose, implementation considerations, use cases, and more.| AtScale
Explore what data literacy is from AtScale. Learn the definition, purpose, key components and capabilities of a data literacy program, and more.| AtScale
We are thrilled to announce the AtScale and Databricks AI/BI Genie integration. Discover how we’re redefining natural language query accuracy.| AtScale
We are excited to announce an integration between AtScale and Snowflake Cortex Analyst, enabling business users to query data using natural language.| AtScale
Unlock the power of Self-Service BI (SSBI) with our clear explanation of its meaning, purpose, and how it empowers users to analyze data without IT help.| AtScale
Learn what OLAP (Online Analytical Processing) is from AtScale. Understand the definition and how it supports complex data analysis for business insights.| AtScale
Bridge the gap between data engineers and business analysts with a semantic layer to standardize definitions, metrics, and collaboration tools to drive efficient decision-making.| AtScale
Optimize your data models with AtScale's modern approach. Learn how to maintain a single source of truth while enhancing Power BI's capabilities.| AtScale
Discover how AtScale’s new Natural Language Query (NQL) capabilities, powered by Generative AI and Semantic Layer integration, enable business users to gain instant insights from data without needing complex SQL.| AtScale
Learn the definition of data mesh from AtScale. Get the framework and architecture and how it transforms data management for scalable, modern organizations.| AtScale