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lunes, 18 de julio de 2016
Get the most from your data, developers and data scientists using Big Data spatial analysis on Hadoop and NoSQL
Register: Link by Directions Magizine, Tuesday, July 19th 2016
Just the facts
Hadoop, NoSQL, Spark, and related technologies are at the heart of a powerful new development and analytic platform that enterprises are using to lower cost and discover insights from a wide range of big data sources. Data scientists and software developers use these distributed frameworks to create a new class of solutions designed to analyze and process massive amounts of data. Oracle Big Data Spatial and Graph offers a set of high-performance, commercial spatial analysis components, services and data models that bring location analysis to Big Data workloads and enable Big Data processing of data for use in geospatial workflows.
A geo-enrichment service provides location identifiers to big data, enabling data harmonization based on location. Dozens of pre-built geographic and location analysis functions can be used for analyzing, categorizing and filtering data. For geo-processing and raster processing workloads, the ability to perform large-scale operations for cleansing data and preparing imagery, sensor data, and raw input data is provided. Results of spatial analysis and processing can be displayed using an HTML5 map visualization API.
We will share an overview of the new features, demos and examples showing how to invoke these services for your application, and use cases. Learn how developers and data scientists can handle spatial and raster big data analytics and processing workloads.
In this webinar you will learn
Where Hadoop and related technologies fit in vector and raster workflows and how to best use this analytic and processing platform
How to discover location relationships and patterns in big data among customers, organizations, and assets, and enrich your big data with location
How to enrich, categorize, harmonize, and visualize big data with location services
How to handle the most challenging spatial and raster analytic and data processing workloads
Oracle is the world's most complete, open, and integrated business software and hardware systems company. Oracle is a leader for geospatial technologies, offering a wide range of 2D and 3D spatial capabilities based on OGC and ISO standards, for database, middleware, big data, and cloud platforms. Oracle’s spatial technologies are used by numerous 3rd party tools, components, and solutions, as well as by Oracle's enterprise applications for on-premise and cloud deployment.
James Steiner, Vice President, Server Technologies, Oracle Dr. Siva Ravada, Senior Director of Development, Oracle
Who should attend
Chief information officers; chief data officers; Big Data, IT and GIS developers; Data scientists; anyone responsible for innovation, analytics, Big Data strategy and implementation