performing equal or better than legacy optimizer in all cases. Current Status Complex workloads for analytics produce large gains with ORCA Upcoming Roadmap • Parallelizing Union and Union All Queries • DLIB/ 2016Postgres中国用户大会 Postgres Conference China 2016 中国用户大会 Madlib Vision In database analytics, machine learning and data science tools Upcoming Roadmap • Pivotal R Support for SVM and LDA Conference China 2016 中国用户大会 GP Text: Full Text Search and Text Analysis (proprietary) Vision Integrated Data Warehouse for SQL and Text Search in one system leveraging Apache Solr and GPDB Upcoming

Mirroring 381 Overview of Greenplum Database Integrated Analytics 383 Overview of Greenplum Database Integrated Analytics 0 The Greenplum Database Integrated Analytics Ecosystem 383 Machine Learning and Deep Deep Learning 383 Geospatial Analytics 384 Text Analytics 384 Programming Language Extensions 384 Why Greenplum Database in Integrated Analytics 384 Machine Learning and Deep Learning using MADlib Rules 391 Naive Bayes Classification 393 References 397 Graph Analytics 397 Graph Analytics 0 What is a Graph? 397 Graph Analytics on Greenplum 398 Using Graph 398 Graph Modules 400 All Pairs Shortest

Mirroring 390 Overview of Greenplum Database Integrated Analytics 392 Overview of Greenplum Database Integrated Analytics 0 The Greenplum Database Integrated Analytics Ecosystem 392 Machine Learning and Deep Deep Learning 392 Geospatial Analytics 393 Text Analytics 393 Programming Language Extensions 393 Why Greenplum Database in Integrated Analytics 393 Machine Learning and Deep Learning using MADlib Rules 400 Naive Bayes Classification 402 References 406 Graph Analytics 406 Graph Analytics 0 What is a Graph? 406 Graph Analytics on Greenplum 407 Using Graph 407 Graph Modules 409 All Pairs Shortest

Mirroring 316 Overview of Greenplum Database Integrated Analytics 318 Overview of Greenplum Database Integrated Analytics 0 The Greenplum Database Integrated Analytics Ecosystem 318 Machine Learning and Deep Deep Learning 318 Geospatial Analytics 319 Text Analytics 319 Programming Language Extensions 319 Why Greenplum Database in Integrated Analytics 319 VMware Greenplum v6.17 Documentation VMware, Inc Rules 326 Naive Bayes Classification 328 References 332 Graph Analytics 332 Graph Analytics 0 What is a Graph? 332 Graph Analytics on Greenplum 333 Using Graph 333 Graph Modules 335 All Pairs Shortest

Greenplum Database Integrated Analytics 387 The Greenplum Database Integrated Analytics Ecosystem 387 Machine Learning and Deep Learning 387 Geospatial Analytics 387 Text Analytics 388 Programming Language Language Extensions 388 Why Greenplum Database in Integrated Analytics 388 Machine Learning and Deep Learning using MADlib 389 Machine Learning 390 Deep Learning 390 PivotalR 390 Installing MADlib References 401 VMware Tanzu Greenplum v6.20 Documentation VMware, Inc. 18 Graph Analytics 401 What is a Graph? 401 Graph Analytics on Greenplum 402 Using Graph 403 Graph Modules 404 All Pairs Shortest Path

Greenplum Database Integrated Analytics 754 The Greenplum Database Integrated Analytics Ecosystem 754 Machine Learning and Deep Learning 755 Geospatial Analytics 755 Text Analytics 755 Programming Language Language Extensions 755 Why Greenplum Database in Integrated Analytics 756 Machine Learning and Deep Learning using MADlib 756 Machine Learning 757 Deep Learning 757 PivotalR 758 Installing MADlib Association Rules 762 Naive Bayes Classification 763 References 767 Graph Analytics 767 What is a Graph? 767 Graph Analytics on Greenplum 768 Using Graph 768 Graph Modules 770 All Pairs Shortest Path

Greenplum Database Integrated Analytics 905 The Greenplum Database Integrated Analytics Ecosystem 905 Machine Learning and Deep Learning 905 Geospatial Analytics 905 Text Analytics 905 Programming Language Language Extensions 906 Why Greenplum Database in Integrated Analytics 906 Machine Learning and Deep Learning using MADlib 907 Machine Learning 907 Deep Learning 908 PivotalR 908 Prerequisites 909 Association Rules 914 Naive Bayes Classification 916 References 920 Graph Analytics 920 What is a Graph? 920 Graph Analytics on Greenplum 921 Using Graph 922 Graph Modules 923 All Pairs Shortest Path

Greenplum Database Integrated Analytics 895 The Greenplum Database Integrated Analytics Ecosystem 896 Machine Learning and Deep Learning 896 Geospatial Analytics 896 Text Analytics 896 Programming Language Language Extensions 896 Why Greenplum Database in Integrated Analytics 897 Machine Learning and Deep Learning using MADlib 898 Machine Learning 898 Deep Learning 899 PivotalR 899 Installing MADlib Naive Bayes Classification 905 References 909 Graph Analytics 909 VMware Greenplum 6 Documentation VMware, Inc 37 What is a Graph? 910 Graph Analytics on Greenplum 910 Using Graph 911 Graph Modules

Greenplum Database Integrated Analytics 867 The Greenplum Database Integrated Analytics Ecosystem 867 Machine Learning and Deep Learning 868 Geospatial Analytics 868 Text Analytics 868 Programming Language Language Extensions 868 Why Greenplum Database in Integrated Analytics 869 Machine Learning and Deep Learning using MADlib 869 VMware Tanzu Greenplum 6 Documentation VMware, Inc 37 Machine Learning Association Rules 875 Naive Bayes Classification 877 References 881 Graph Analytics 881 What is a Graph? 881 Graph Analytics on Greenplum 882 Using Graph 883 Graph Modules 884 All Pairs Shortest Path

Greenplum Database Integrated Analytics 865 The Greenplum Database Integrated Analytics Ecosystem 865 Machine Learning and Deep Learning 866 Geospatial Analytics 866 Text Analytics 866 Programming Language Language Extensions 866 Why Greenplum Database in Integrated Analytics 867 Machine Learning and Deep Learning using MADlib 867 Machine Learning 868 Deep Learning 869 PivotalR 869 Installing MADlib Association Rules 873 Naive Bayes Classification 875 References 879 Graph Analytics 879 What is a Graph? 880 Graph Analytics on Greenplum 880 Using Graph 881 Graph Modules 882 All Pairs Shortest Path