Browse our comprehensive glossary of terms and definitions to better understand the semantic layer. Enhance your knowledge on data integration and management.| AtScale
Learn how to connect Excel to Snowflake securely and at scale. This guide explores how AtScale’s semantic layer enables fast, consistent, and governed access to data.| 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
Learn how businesses can solve data warehouse challenges with data virtualization. Learn about data virtualization vs. data warehouse and 10 important requirements.| 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
Read The Semantics of the Semantic Layer Part 4: Data Preparation. Learn how data prep makes expressing business processes and calculations in a data model possible.| AtScale
Discover the power of the semantic layer in the financial services sector. Learn how it can help simplify data, enhance decision-making, and drive collaboration.| AtScale
Discover how to use a semantic layer with data science. Read this post to find use cases and learn how it helps bridge BI teams and data science teams.| AtScale
Discover how to leverage analytics like a leader to accelerate your digital transformation journey. Learn the importance of having a data and analytics teams.| AtScale
Discover how to formulate the right business and data strategy for turning actionable insights for improved business results. Read on to learn more.| 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 a large language model is and how they’re transforming data insights and AI-driven tasks. Learn how they work, their benefits, and applications across industries.| AtScale
Discover our predictions for the future of data and analytics in 2025. Learn what trends and technologies to look for as businesses evolve and adapt.| AtScale
Learn how to build a scalable, trustworthy AI strategy grounded in business outcomes. Discover why a semantic layer is key to aligning data, governance, and AI success.| AtScale
Learn what Retrieval Augmented Generation (RAG) is, how it works, and its benefits. Discover how RAG enhances AI accuracy and delivers relevant insights.| 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
Discover the definition and role of feature engineering in machine learning and how semantic layers streamline the process for improved predictive models. Learn tools, techniques, and real-world examples.| 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
Explore the pressing challenges in big data today, including integration, analysis, and the demand for skilled professionals, along with effective solutions.| AtScale
Get the definition of data visualization from AtScale. Learn about data visualization tools, their purpose, implementation considerations, use cases, and more.| AtScale
Get the definition of data fabric from AtScale. Learn about data fabric architecture and how it simplifies data management and integration across platforms.| 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
Discover the top 5 software quality metrics crucial for ensuring reliable, efficient, and secure software to empower decision-making and innovation.| 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
AtScale has been helping bridge Enterprise BI and Data Science for years, recently announcing AtScale AI-Link to simplify access to our semantic layer| AtScale
Analytics Governance goes beyond security and access control. Learn more about AtScale Data & Analytics Governance solutions.| AtScale
Learn what a cloud data warehouse is from AtScale. Discover the definition, features, and how it helps businesses manage and analyze large-scale data efficiently.| AtScale
Data analytics help organizations uncover trends and improve decision-making. Explore the benefits and history of data analytics.| AtScale
Explore the business value of a semantic layer, benefits, and key use cases. Learn how it enhances organizations' data access, analytics, and decision-making.| AtScale
Learn how implementing a semantic layer improves data governance by ensuring accuracy, consistency, and easier access to reliable data insights.| AtScale
Learn what OLAP (Online Analytical Processing) is from AtScale. Understand the definition and how it supports complex data analysis for business insights.| AtScale
Learn what data storytelling is and its definition. Learn why transforming complex data into compelling narratives drives decision-making and insights.| AtScale
Explore the definition of data governance from AtScale. Learn data governance benefits and how they help ensure data accuracy, security, and compliance.| AtScale
Uncover the definition of Business Intelligence (BI). Learn how it empowers organizations to make data-driven decisions every time.| AtScale
Discover how AtScale empowers Tableau users to get access to “live” data in cloud data platforms without manual data engineering or data movement.| AtScale
Discover AtScale and Microsoft Power BI. Learn about the best-in-industry query performance for Power BI on cloud data platforms.| AtScale
Discover how AtScale helps integrate data from semantic layer into managed Jupyter Notebooks data science projects.| AtScale
Discover AtScale + Google Looker solutions. Empowering users with a semantic layer and high-performance analytics with access to live cloud data on any platform.| AtScale
Learn how AtScale enables Google Cloud customers to build a single source of governed analytics to enable self-service business intelligence and data science programs.| AtScale
With AtScale, organizations can provide Microsoft Excel users with live access to cloud data for quick, easy, and secure business analytics. Request a demo today.| AtScale
Learn how AtScale enables Databricks Lakehouse customers to build high performance, self-serve BI and analytics programs. Request a demo today.| 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
Learn how a semantic layer supports your data strategy by balancing a centralized data solution with decentralized business needs.| AtScale
Discover how to improve data quality using a semantic layer. Learn the significance, using machine learning, reducing bad quality data and more.| AtScale
Discover 5 common data challenges organizations face without a semantic layer and how implementing such a layer can effectively address these issues.| 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
Establish an independent Semantic Layer and foster a culture of self-service and data literacy, build composable analytics, embrace headless BI, and more.| AtScale
Read this post to learn six key ways to use the power of AI to evolve metric stores into intelligent and adaptive forces.| AtScale
This is the first in a series of blog posts that shows how AtScale empowers Microsoft Excel users to conduct powerful data analyses.| AtScale