Oracle Sharding Technical Deep Dive

This session will focus on how Oracle is applying various Machine Learning technologies to the area of diagnostics to prevent performance issues and maintain availability. Details about the architectures and algorithms used for this Autonomous Health initiative will be covered for both Cloud and On-premise database deployments. Components and functionality covered will be Cluster Heath Advisor, Trace File Analyzer (Collector, Receiver and Web), Hang Manager, and Adaptive Bug Search.

In this presentation, we will discuss the basic concepts required for understanding what sharding is and how Oracle Sharding is changing the way that huge Oracle databases are managed. We will discuss various topics such as how Oracle Sharded databases differ from traditional Oracle databases, what sharding limitations exist and how to interact with and manage sharded databases. Attendees will walk away with a firm grasp of what Oracle Sharding is, how to manage shards and how they can potentially benefit from sharding their own databases.

Objective 1: Learn what sharding is and how it can provide fault tolerance unlimited capacity
Objective 2: Main advantages of oracle sharding
Objective 3: How to implement sharding and what changes are required from the application/client side