ATscale：2021用于数据和分析的最佳语义层工具买家指南（英文版）（18页）.pdf

1、10 Things to Consider When Modernizing YourAnalytics InfrastructureBuyers Guide2021The CompleteBuyers Guide fora Semantic LayerGARTNER “How to Use Semantics to Drive the Business Value of Your Data”27 November 2018 Unprecedented levels of data scale and distribution are making it almost impossible f

2、or organizations to efectively exploit their data assets.Data and analytics leaders must adopt a semantic approach to their enterprise data assets or face losing the battle for competitive advantage.ABOUT THIS GUIDESemantic layers have been around for some time.They were invented as a way to mold re

3、lational databases and their SQL dialects into an approachable Interface for business users.In 1992,Business Objects patented the term and formalized their implementation as the Business Objects UniverseTM.From that point forward,the concept of measure and dimensions as an abstraction of SQL has bec

4、ome the preferred language for business users.Until recently,however,the semantic layer was always tightly coupled to the business intelligence(BI)platform.As a result,tools like Business Objects had their unique semantic layer,separate and distinct from Cognos semantic layer,MicroStrategys semantic

5、 layer,Tableaus semantic layer and so forth.As long as enterprises stayed within the walled garden of the BI platform vendor of choice,all was good.Today,there are a variety of ways of analyzing data and long gone are the days where there was one BI platform to rule them.Tightly coupling a semantic

6、layer to one analytics consumption style just no longer makes sense.To expand on that,the explosion of self-service BI has created some unintended consequences.While business users freed themselves from the chains of IT-prepared analytics,data consistency and trust in analytics output took a huge hi