遇见数据集

AtScale Tutorials

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Snowflake2024-03-06 更新2024-05-01 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, Inc.
创建时间:
2024-02-23
搜集汇总
数据集介绍
AtScale Tutorials 数据集图片
背景与挑战
背景概述
AtScale Tutorials是Snowflake平台上的数据集,用于支持AtScale示例语义模型,这些模型以SML格式存储并可通过GitHub访问。它帮助用户通过AtScale通用语义层,使用Power BI等工具简化数据分析和查询,提升决策效率与报告一致性。
以上内容由遇见数据集搜集并总结生成
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