Tag: Cloud BI / Analytics

Going to Oracle Autonomous Database Cloud: Architecture Components, Deployment and Migration
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Quest Forum Digital Event 2020

Oracle Autonomous Database services are built around the Oracle database and come with fully automated with self-driving, self-securing, self-repairing, and offer two options optimized by workloads: Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP). In this session, you will learn the easy provisioning process of these two database cloud services, learn how to navigate the service console for service management, how to access the databases, define the database objects, load the data and run the query and transactions. For Autonomous Data Warehouse (ADW),  you will how to import and export large sets of data to/from ADW database, learn how to use data visualization tool built in the Oracle cloud to run advanced analytics and machine learning applications as well as some troubleshooting experiences and tips using ADW. We will also discuss the options and process to migrate your on-premise databases to these database cloud services.

Leveraging Oracle Autonomous Data Warehouse for Machine Learning
Sponsored by IBM
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Quest Forum Digital Event 2020

Based on Oracle Generation 2 Cloud Architecture,  Oracle Autonomous Data Warehouse (ADW) provides a fully automated data warehouse specific features to deliver outstanding query performance. ADW also comes with a library of Oracle machine learning algorithms and a new set of tools such as SQL notebooks for predictive analytics and machine learning. This allows Data scientists to run Machine Learning projects in Oracle Database without moving data and also allows Database developers to pick up Machine learning with database tables, SQL, and PL/SQL. l This session will examine Oracle Machine Learning as part of ADW collaborative environment. We will discuss the process to develop machine learning applications in the ADW Oracle Machine Learning environment:  analyze and prepare data set;  build and evaluate and apply machine learning model. We also will discuss other Oracle Machine Learning family products and what new features are coming up in Oracle 20c.

Oracle HCM Cloud: Integration Methodologies at Yum! Brands
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Quest Forum Digital Event 2020

Oracle Cloud SaaS and PaaS offer a myriad of integration choices. In this session you’ll learn about the way Yum! Brands integrates with vendors and other internal systems using SOA CS, BI Publisher, REST API’s, ATOM Feed, VBCS, JCS, and DBaaS.

How the State of Maine Leverages Oracle Analytics Cloud

As part of Quest Experience Week (QXW) 2019, Jeffrey Jordan, Director of Enterprise Services for the State of Maine, spoke about the State of Maine’s continuing journey into data analytics with Oracle Cloud and the Oracle Analytics Cloud Services implementation project that the team has been working on. In the last year, the State has rolled out a data model with Oracle Analytics Cloud to support the analysis and report on more than 3,000 general ledger accounting, human resources, and biennial budget data elements. Jordan's presentation covered how the modern presentation and data exploration capabilities of the Oracle Analytics platform, combined with the ungoverned data mashup capability of Oracle Data Visualizer, has led to early success stories and user adoption.

Oracle Analytics and Artificial Intelligence at Scale with the State Of Maine
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Nov.  12 @  12:30pm
Oracle Analytics and Artificial Intelligence at Scale with the State Of Maine

In this session learn about the State of Maine’s continuing journey into data analytics with Oracle Cloud. In the last year, the State has rolled out a data model with Oracle Analytics Cloud to support the analysis and report on more than 3,000 general ledger accounting, human resources, and biennial budget data elements. Hear how…

How to Set Up and Build Out an Oracle Analytics Cloud Instance
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Setting up an Oracle Analytics Cloud (OAC) instance can be a little tricky. Learn the ins and outs of this fairly new Oracle offering in this session. Topics covered will be OAC parts and pieces, how to navigate in the Cloud environment, creating the database and OAC instance, building out an application and analysis and…

Analyzing data from an Oracle logistics Relational DB using Graph Theory tools for better analytics.
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This presentation discusses the developer tools (and effort) used to create Graph theoritic model of an Oracle equipment datawarehouse. A graph has nodes and edges and their ranking (based on # of adjecent nodes) was critical in the final decision making. The uniqueness of this approach is to take generic Relational tables and look at…

The Naked Future - What Happens in a World that Anticipates Your Every Move?
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Imagine a world that anticipates your every move.  Datafication, smart phones, Twitter, Facebook, GPS and IoT, produce a digital exhaust that tracks your every movement, relationships and activities. Now, companies know everything about you and can anticipate your future.  Peter Tucker, author of “The Naked Future” paints a vivid picture of a present and “very near future” where machine learning and “cognitive” technologies can analyze gigabytes of data and even predict your future. Oracle’s Big Data, Machine Learning, Notebooks, Clouds and “predictive” Applications make this “naked future” more real today than you may realize.  Come hear about a future made possible by Oracle’s Data Management and Machine Learning technologies.

Operationalizing Machine Learning into "Predictive" Enterprise Applications
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Most data science projects begin with data, “tools” and scripts but fail to get beyond the data scientist. They hit a wall when attempting to “operationalize” the models.  Netflix never implemented the algorithm that won the Netflix $1 Million Challenge.  This dichotomy between enterprise and algorithms is eliminated when algorithms are built into the data management platforms.  By “moving algorithms to the data”, Oracle Database and Big Data Clouds are now data management and advanced analytical platforms.   Developers use SQL, R and Oracle Data Miner UI to build, evaluate and deploy advanced analytical methodologies.  See how to go beyond “tools” to applications.  Several Oracle “predictive” Applications will be shown as examples.