使用 Databricks SQL 获取地理空间洞察：技术与应用.pdf

1、Geospatial Insights with Databricks SQLTechniques and ApplicationsKent MartenMichael JohnsProduct ManagerLead Product Specialist Forward-looking StatementThis presentation has been prepared for informational purposes only.The information set forth herein does not purport to be complete or contain al

2、l relevant information.Statements contained herein are made as of the date of this presentation unless stated otherwise.This presentation and the accompanying oral commentary may contain forward-looking statements.In some cases,forward-looking statements can be identified by terms such as“may”,“will

3、”,“should”,“expects”,“plans”,“anticipates”,“could”,“intends”,“projects”,“believes”,“estimates”,“predicts”,or“continue”,or the negative of these words or other similar terms or expressions that concern Databricks expectations,strategy,plans,or intentions.Forward-looking statements are based on inform

4、ation available at the time those statements are made and are inherently subject to risks and uncertainties that could cause actual results to differ materially from those expressed in or suggested by the forward-looking statements.Forward-looking statements should not be read as a guarantee of futu

5、re performance or outcomes.Except as required by law,Databricks does not undertake any obligation to publicly update or revise any forward-looking statement,whether as a result of new information,future developments or otherwise.2Agenda3Geospatial Lakehouse TodaySpatial SQL RoadmapCustomer Challenge

6、s+SolutionsAgenda4Geospatial Lakehouse TodayGeospatial LakehouseVector Analysis Spatial SQL+Geometry/Geography 80+Spatial SQL expressions for working with vector data such as coordinates,points,lines,and polygons SQL,python,scala Mobility/GPS Coords+Vector/Raster 35+H3 expressions to organize spatia