Tag: Database & Technology

Happy July to all our Quest members! Below is some key information about your membership.

Jun 30 @  11:00am

Companies need to ensure that they are getting the most out of their investment in Oracle databases. Jeffrey Steiner (former IT architect with Oracle) will explain how to ensure your databases get what they need from your storage and network infrastructure. This includes both initial sizing as well as ongoing optimization and troubleshooting. In this…

For readers who are familiar with the Asterix and Obelix series, the magic potion refers to the potion brewed by Getafix, that gives the Gaulish warriors superhuman strength.

One of VMware’s magic potions for Oracle workloads is the ‘Paravirtualized SCSI Controllers a.k.a PVSCSI Controllers’ which is accelerated workloads performance on a VMware vSphere Platform.

This blog is meant to raise awareness of the importance of using PVSCSI adapters with adequate Queue Depth settings for an Oracle workload.

Written by Sridhar Avantsa, Rolta AdvizeX

Oracle introduced the feature of database sharding in 12.2 and has since been refining it. The purpose of this article is for the reader to understanding database sharding. This includes general concepts of sharding as well as the concepts, architecture, and how to use Oracle Sharding.

It is paramount to protect and secure your companies most valuable asset: your Oracle databases! Oracle Database Administrators often spend most of their time and resources dealing with multiple products, features—not to mention—complexity. Explore how you can simplify, and cost-effectively automate, data protection. Learn how to create frequent backups, and test failover and failback of critical databases and applications to or from DR site (in cloud or on-premises). See how to meet RPO and RTO=0 objectives and burst to cloud for test and development. ​

Presented by Ebin Kadavy, NetApp

Apr 21 @  11:00am

It is paramount to protect and secure your companies most valuable asset: your Oracle databases! Oracle Database Administrators often spend most of their time and resources dealing with multiple products, features—not to mention—complexity. Explore how you can simplify, and cost effectively automate, data protection. Learn how to create frequent backups, and test failover and failback…

Presented at INSYNC 21

Session ID: 101960

In-database machine learning offers automation, scalability, and ease of deployment. With the arrival of 21c, there are a few new "faces" to Oracle Machine Learning (OML) to take you further in your data science projects. OML on Autonomous Database introduces a Python API, a no-code AutoML user interface, and a database-external model deployment REST interface. With OML for Python, data scientists leverage the database as a high-performance data science compute engine - minimizing data movement - as well as benefit from powerful automated machine learning. OML AutoML UI places a no-code user interface in the hands of data scientists and non-expert users as a productivity tool to automate the modeling and deployment process. OML Services provides REST endpoints for model management and deployment along with cognitive text analytics. Join us for this OML overview with demonstrations.

Presented at INSYNC 21

Session ID: 101030

Taking your customer's experience to the next level is a gargantuan task! Ensuring that your infrastructure and apps are healthy and performant, today, is a minimum requirement but the real insights are derived by deeper analysis of the usage patterns available in logs, among other sources, to inform business decisions which are measurable. Logs come in different variety and could be from few Gigabytes to Terabytes making it difficult for everyone to visualize and analyze. Enter OCI Logging Analytics.

In this workshop, we'll take you through the end-to-end Log Analytics value chain to show how you can use OCI Logging Analytics to do advance analytics and ML on log data.

Come to this session if you are a DBA, IT Analyst, IT Admin, DevOps or LoB Manager to learn how to quickly gain deeper insights from your log data quickly.  You'll learn how to use Logging Analytics' in-built ML features and integration with Data Science for custom ML models. No prior training is required.