Greenplum offers a unique combination of a powerful, massively parallel processing (MPP) database and advanced data analytics. This combination creates an ideal framework for data scientists, data architects and business decision makers to explore artificial intelligence (AI), machine learning, deep learning, text analytics, and geospatial analytics.
The following Greenplum Database analytics extensions are explored in different documentation sections, with installation and usage instructions:
The Apache MADlib extension allows Greenplum Database users to run different machine learning and deep learning functions, including feature engineering, model training, evaluation and scoring.
PostGIS is a spatial database extension for PostgreSQL that allows GIS (Geographic Information Systems) objects to be stored in the database. The Greenplum Database PostGIS extension includes support for GiST-based R-Tree spatial indexes and functions for analysis and processing of GIS objects.
Text Analytics and Search enables processing of mass quantities of raw text data (such as social media feeds or e-mail databases) into mission-critical information that guides project and business decisions. VMware Greenplum Text joins the Greenplum Database massively parallel-processing database server with Apache SolrCloud enterprise search. VMware Greenplum Text includes powerful text search as well as support for text analysis.
Greenplum database supports a variety of procedural languages that you can use for programming database analytics. Refer to the linked documentation for installation and usage instructions.
The importance of advanced analytics in its various forms is growing rapidly in enterprise computing. Key enterprise data typically resides in relational and document form and it is inefficient to copy data between systems to perform analytical operations. Greenplum is able to run both traditional and advanced analytics workloads in-database. This integrated capability greatly reduces the cost and the silos created by procuring and maintaining multiple tools and libraries.
Greenplum Database advanced analytics can be used to address a wide variety of problems in many verticals including automotive, finance, manufacturing, energy, government, education, telecommunications, on-line and traditional retail.
The Greenplum analytics capabilities allow you to: