AtScale Tutorials
收藏Snowflake2024-05-06 更新2024-05-11 收录
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资源简介:
AtScale tutorials for Snowflake are datasets that serve as the backing data for AtScale sample semantic models. AtScale semantic models are stored in the Semantic Modeling Language (SML) format and they are freely accessible via a GitHub repository.With these Snowflake datasets, customers can explore and query industry vertical data models using a variety of business intelligence and data science tools. The AtScale Semantic Layer Platform (Community Edition) is a free download at www.atscale.com.With AtScale's universal semantic layer. customers can perform advanced analytics using a business-friendly, OLAP interface using the Snowflake Data Cloud and popular tools like Power BI, Tableau, Excel and Looker.A semantic layer platform delivers business value by acting as an intermediary between complex data sources and end-user queries. It simplifies the access to data through a unified, business-friendly interface, allowing users with varying levels of technical expertise to understand and analyze data without needing to know complex query languages or database structures.This accessibility leads to better, faster decision-making across all levels of an organization. Moreover, by standardizing definitions and metrics, a semantic layer ensures consistency and accuracy in reporting and analytics, reducing errors and misinterpretations.
提供机构:
AtScale
创建时间:
2024-05-06
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是AtScale为Snowflake提供的教程数据集,用于支持AtScale示例语义模型,这些模型以SML格式存储并通过GitHub公开。它允许客户使用各种商业智能和数据科学工具探索行业垂直数据模型,通过AtScale语义层平台简化数据访问,促进跨组织的一致分析和决策。
以上内容由遇见数据集搜集并总结生成



