Greenplum 机器学习工具集 PL/X：各种语言实现自定义函数（存储过程） - MADLib: 数据挖掘、统计分析、图（Graph）等算法 • GPText: 文本检索和分析 • GeoSpatial: 地理信息数据分析 • Image: 图像数据分析 ## Pivotal ## Greenplum Procedure Language PLPython, PLR 2017.thegiac

(Tanzu Greenplum) 0 Procedural Language, Machine Learning, and Geospatial Extensions 269 Procedural Language, Machine Learning, and Geospatial Extensions 0 Python Data Science Module Package 269 Python Greenplum Database Integrated Analytics Ecosystem 383 Machine Learning and Deep Learning 383 Geospatial Analytics 384 Text Analytics 384 Programming Language Extensions 384 Why Greenplum Database Closeness Centrality 403 Graph Diameter 403 In-Out Degree 403 References 403 Geospatial Analytics 404 Geospatial Analytics 0 About PostGIS 404 Greenplum PostGIS Extension 404 Enabling and Removing

(Tanzu Greenplum) 0 Procedural Language, Machine Learning, and Geospatial Extensions 277 Procedural Language, Machine Learning, and Geospatial Extensions 0 Python Data Science Module Package 278 Python Greenplum Database Integrated Analytics Ecosystem 392 Machine Learning and Deep Learning 392 Geospatial Analytics 393 Text Analytics 393 Programming Language Extensions 393 Why Greenplum Database Closeness Centrality 412 Graph Diameter 412 In-Out Degree 412 References 412 Geospatial Analytics 413 Geospatial Analytics 0 About PostGIS 413 Greenplum PostGIS Extension 413 Enabling and Removing

Installing Optional Extensions (Tanzu Greenplum) 274 Procedural Language, Machine Learning, and Geospatial Extensions 274 Python Data Science Module Package 274 Python Data Science Modules 275 Installing Greenplum Database Integrated Analytics Ecosystem 387 Machine Learning and Deep Learning 387 Geospatial Analytics 387 Text Analytics 388 Programming Language Extensions 388 Why Greenplum Database Path Length 406 Closeness Centrality 407 Graph Diameter 407 In-Out Degree 407 References 408 Geospatial Analytics 408 About PostGIS 408 Greenplum PostGIS Extension 408 Enabling and Removing PostGIS

Performance improvements ## GPDB Geospatial Current Key Features: - Points, Lines, Polygons, Perimeter, Area, Intersection, Contains, Distance Ability to store geospatial data and query with joins and operators

windows. It happened. ## Important Support Libraries The GEOS geometry operations library The GDAL Geospatial Data Abstraction Library used to power much of the raster functionality introduced in PostGIS 2 Spatial Data Model ## OGC Geometry The Open Geospatial Consortium (OGC) developed the Simple Features Access standard (SFA) to provide a model for geospatial data. It defines the fundamental spatial type polygon doesn't mean you *should*. ## Geometry Validation PostGIS is compliant with the Open Geospatial Consortium's (OGC) Simple Features specification. That standard defines the concepts of geometry

windows. It happened. ## Important Support Libraries The GEOS geometry operations library The GDAL Geospatial Data Abstraction Library used to power much of the raster functionality introduced in PostGIS 2 Spatial Data Model ## OGC Geometry The Open Geospatial Consortium (OGC) developed the Simple Features Access standard (SFA) to provide a model for geospatial data. It defines the fundamental spatial type +datum=WGS84 +units=m +no_defs' ); ## Geometry Validation PostGIS is compliant with the Open Geospatial Consortium's (OGC) OpenGIS Specifications. As such, many PostGIS methods require, or more accurately

windows. It happened. ## Important Support Libraries The GEOS geometry operations library The GDAL Geospatial Data Abstraction Library used to power much of the raster functionality introduced in PostGIS 2 Spatial Data Model ## OGC Geometry The Open Geospatial Consortium (OGC) developed the Simple Features Access standard (SFA) to provide a model for geospatial data. It defines the fundamental spatial type polygon doesn't mean you *should*. ## Geometry Validation PostGIS is compliant with the Open Geospatial Consortium's (OGC) Simple Features specification. That standard defines the concepts of geometry

flatpages documentation. Requires the sites ___ to be installed as well. ## gis A world-class geospatial framework built on top of Django, that enables storage, manipulation and display of spatial data file contains a set of data files collectively known as an ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: /geodjango/world/data/TM_WORLD_BORDERS-0.3.shp (ESRI Shapefile) Data source objects can have different layers of geospatial features; however, shapefiles are only allowed to have one layer: >>> print(len(ds))

flatpages documentation. Requires the sites contrib package to be installed as well. gis A world-class geospatial framework built on top of Django, that enables storage, manipulation and display of spatial data file contains a set of data files collectively known as an ESRI Shapefile, one of the most popular geospatial data formats. When unzipped, the world borders dataset includes files with the following extensions: /geodjango/world/data/TM_WORLD_BORDERS-0.3.shp (ESRI Shapefile) Data source objects can have different layers of geospatial features; however, shapefiles are only allowed to have one layer: >>> print(len(ds)) 1 >>> lyr