Presented at Quest Experience Week (QXW) – Database & Technology Day

The interesting thing about a graph is that we can use it with almost every application. We can view most data sets as a graph, and that gives you the ability to see your data through the connections and relationships between data entities. Once you represent your data as a graph, you can apply graph algorithms to get new insights into your data. In this session, I will discuss how you can create a graph from relational tables in Oracle Autonomous Database, apply graph algorithms to this graph, and use the results in your applications. My goal is to demystify graph analytics and help you get started using graphs in your analytics applications.

Presented at Quest Experience Week (QXW) – Database & Technology Day

At Oracle OpenWorld 2019, Oracle announced an Always Free Tier of cloud services. This session will review what’s available with these free cloud services such as Oracle autonomous databases including Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP), compute with up to 2 virtual machines, storage including block, object, and archive storage. We’ll explore how these free services work and what can be done with them, such as creating proof of concept systems. Looking for data? No problem! We’ll explore the vast number of free data sources that are available and can be consumed using Application Programming Interfaces (APIs). Once we combine the two, we can easily pull data into these cloud services while creating fully functioning applications including the use of Oracle Application Express (APEX).

Presented at Quest Experience Week (QXW) - Database & Technology Day

What’s the next role for the DevOps or DBA as the autonomous database and Oracle enhancements free up time? This session will cover the role (managing more databases with autonomous database) & the integration of AI and Machine Learning. Technology is advancing at an exponential rate. This session will show what this means to your company and your future job. See major advances being driven, but also those that will be driven by the autonomous future Oracle is driving ahead.

Presented at INFOCUS 20

Session ID: 104500

Learn about the best practices and considerations for implementing Oracle Autonomous Database with your JD Edwards and embark your journey for IT transformation.

Quest Forum Digital Event 2020

Enterprise organizations need a modern protection and recovery solution that is capable of quickly recovering databases to any point in time with the least amount of administrative effort from DBAs and backup administrators without impacting the required RPOs/RTOs. This session will focus on how to architect modern business continuity and disaster recovery solutions for business-critical Oracle workloads on VMware Hybrid Cloud environment. This session will also inculcate best practices that need to be taken into consideration when setting BC and DR for critical workloads. In addition to providing disaster recovery, license compliance is another important aspect of setting up an Oracle environment and this session will address how to effectively stay compliant using industry-standard License Management tool.

Quest Forum Digital Event 2020

Oracle Machine Learning “moves the algorithms to the data”, processing data where it resides—in the Oracle Database (On-premises, Cloud, and Autonomous).   This next-generation, hybrid, combined Data Management, and Machine Learning platform enables companies to harvest more insights from their data, eliminates data movement, delivers scalability, preserves security, and accelerates model deployment. Oracle Machine Learning’s 30+ in-database algorithms can address many business problems e.g. predicting behavior, finding anomalies and detecting potential fraud, recommending “next best offers”, sentiment analysis, anticipating churn and discovering key attributes.   OML supports the key roles—data scientists, business and data analysts, database and application developers, and executives with ML algorithms, SQL, R and Python APIs, AutoML, notebooks, UIs, and tight integration with open-source R and Python.  Come hear the latest developments, how to get started and what’s coming next.

Quest Forum Digital Event 2020

Oracle Log Analytics Cloud Service offers an easy way to monitor, aggregate, analyze, and correlate log events from across your database and Exadata environment. In this session learn how DBAs can easily configure log collection and efficiently analyze logs from their database environment to rapidly troubleshoot problems. See how to use plain language analysis to easily find errors across different log sources. Experience the power of machine learning techniques to rapidly identify anomalies that can lead to a problem’s root cause and eliminate finger-pointing.