Blocks, transactions with potential multiple inputs and outputs, and the flow of bitcoins between addresses form a sophisticated real-time graph. Speakers: Daniel Geringer and Siva Ravada, Oracle [TRN4095] (PDF 1.06MB), Spatial Using Location in Cloud Applications with Python, Node.js, and More—In this session learn how to build location analytics and map visualization into applications on the Oracle Cloud using popular developer tools and frameworks with the powerful spatial features of Oracle Database and big data technologies. Join Kelly Greenly as she hosts Dain Hansen, VP of Product Marketing at Oracle, and Karen Sigman, VP of Product Marketing at Oracle, as they provide partners with key highlights and a recap of OpenWorld activities and The Partner Experience. In this session learn how to interface with data lakes and large datasets using the Oracle Big Data manager UI, which contains a zeppelin notebook interface. Graph analysis is an effective data analysis methodology that considers fine-grained relationships among data entities. Learn how to use Property Graph Query Language (PGQL) to traverse and query the graph to discover relationships and impacts; invoke PGX graph analytics to discover anomalies, influencers, and communities in data; and visualize the results as a graph in an interactive notebook environment. New this year! Automate Anomaly Detection with Graph Analytics, Build Serverless Big Data and Graph Viz Web Apps with Spring Data and Core Java, Analyzing Blockchain and Bitcoin Transaction Data as Graphs, Machine Learning with R and Zeppelin on Oracle Big Data Solutions. 3. This session walks through use cases involving Oracle Cloud services and shows step-by-step how to use Oracle SQL to query Kafka Streams, join Kafka Streams with database tables, and load high-speed streaming data into the database. Please complete the form below if you'd like to be notified when Session Catalog is launched for Oracle OpenWorld and Oracle Code One. The vehicle location data is continuously received from a stream that sends updated vehicle locations every few seconds so the nearest vehicles for each station are constantly updated and written to HDFS. A rich ecosystem of Python geospatial libraries provides algorithms to answer questions such as “How are outcomes correlated with location?” “What areas are the most or least similar?” and “Where are the hotspots?” Using a dataset of nationwide traffic accident data, this presentation shows you how to address these questions by combining the geospatial features of popular Python libraries and Oracle Database. As always, the Siebel CRM team will be on hand. Anchor Keynote: Oracle CEO Safra Catz at Oracle OpenWorld Europe . During a live demo in this session, you’ll see anomaly detection in action within medical transactions from the United States Center for Medicare and Medicaid Services (CMS) for the year 2012. âTracking K nearest neighbors from a large dataset to a given location is an expensive task. Stop by the Emtec Booth# 1819 to relax, recharge and escape the craziness of the conference. Introduction to Graph Analytics and Oracle Graph Cloud Service, How to Analyze Data Warehouse Data as a Graph (Graph Studio preview), Graph Query Language for Navigating Complex Data. We hope to see you at Oracle OpenWorld this year! 29:12. Speakers: Jean Ihm, Korbi Schmid and Hans Viehmann, Oracle [TRN4098] (PDF 3.00MB), Graph How to Analyze Data Warehouse Data as a Graph (Graph Studio preview)—In this session gain new insights into your analytics data using graph analysis and database technologies. âFinding unexpected patterns and results in data is a critical factor in discovering fraud, adverse reactions, and other suspicious behaviors. Speaker: Siva Ravada, Oracle [TRN4089] (PDF 3.23MB) Spatial Location-Based Tracking of Moving Objects with Apache Spark—Tracking K nearest neighbors from a large dataset to a given location is an expensive task. For applications that need to query streaming data and react in real time, Oracle SQL access to Kafka Streams gives SQL developers a simple and powerful way to query Kafka Streams and integrate streaming data with database data. âBlockchain technology and Bitcoin will potentially revolutionize business transactions. The presentation also shows how to build a map visualization application to view this real-time tracking with the Oracle Maps API. This was my first time at Oracle OpenWorld, and WOW…. It’s not OpenWorld without Oracle co-founder, Executive Chairman and Chief Technology Officer […] Discover how this allows for the use of SQL queries and the R language to manipulate data from an object store and HDFS, HIVE, and IMPALA tables, and it can also be used to create machine learning algorithms using Spark and graph computations using Oracle Big Data Spatial and Graphâall from one simple interface.