5 MINUTE BRIEFING ORACLE

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Five Minute Briefing - Oracle
October 4, 2023

Published in conjunction with the Quest Oracle Community (Quest), this bi-weekly publication contains news, market research, and insight for the Oracle ecosystem, as well as Quest news and information. Subscribers also receive Quest ResearchWire, a bi-monthly research report for the Oracle community.


News Flashes

Oracle is expanding its distributed cloud offerings to meet organizations' diverse needs and the growing worldwide demand for Oracle Cloud Infrastructure (OCI) services. The latest additions to OCI's distributed cloud include Oracle Database@Azure and MySQL HeatWave Lakehouse on AWS. As a result, organizations gain even more flexibility to deploy cloud services anywhere while addressing a variety of data privacy, data sovereignty, and low latency requirements, as well as access to more than 100 services designed to run any workload, according to the company.

Oracle is introducing the Fusion Data Intelligence Platform, a next-generation data, analytics, and AI platform that will help Oracle Fusion Cloud Applications customers achieve better business outcomes by combining data-driven insights with intelligent decisions and actions. This new platform, an evolution of the Oracle Fusion Analytics Warehouse product, will deliver business data-as-a-service with automated data pipelines, 360-degree data models for key business entities, rich interactive analytics, AI/ML models, and intelligent applications, according to the company.

Red Hat, Inc., a provider of open source solutions, and Oracle are expanding their collaboration to offer customers more choice in deploying applications on Oracle Cloud Infrastructure (OCI). As part of the expanded collaboration, Red Hat OpenShift, the industry's leading hybrid cloud application platform powered by Kubernetes for architecting, building, and deploying cloud-native applications, will be supported and certified to run on OCI.


Think About It

Data models allow for the expression of a great deal of clarity and precision—when the data modeler chooses to allow for it. Many designers seem to work in "sloppy" or "imprecise" mode. Entities are defined containing many nulls allowed attributes. Certainly, if in the existing situation the source data is so dirty that every defined attribute "should" apply, but randomly things are not passed on, then yes, the data model is accurate. However, if the condition is such that the object has many very similar sub-objects, and various combinations of attributes must be populated based on which sub-type is being instantiated, then the data model is not expressing those rules very well.


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