Vegas to Virtual - Collaborate20 is now the Quest Forum Digital Event

Robots may be the first to truly learn Machine Learning (ML) and expand into Artificial Intelligence (AI). Python is one of the keys to Machine Learning as we program the invention of Man’s Mind to further replace man’s most basic tasks. This session will focus on ML 101 and building the future ahead.

Containers have been embraced by the developer community, but acceptance and adoption by DBAs is more… tepid. That’s understandable–why would anyone want a database that’s stateless and immutable?! I started using Docker under duress and had no idea what I was doing. Since then, I’ve learned that Docker elegantly addresses many situations faced by DBAs, including:

• Rapidly provisioning test and development environments
  
• Interacting with Oracle Cloud Infrastructure databases (including ATP and ADW)
  
• Preparing environments for performance testing
  
• Building Gold images
  
• Exploring new technologies and features
  
• Discovering and confirming bugs
  
• Preparing for certification exams

This session is a crash course in Docker covering the terminology, concepts, skills, and practical examples needed to begin using containers to support databases.

This presentation will focus on preparing for the Oracle 20c database and new features such as AutoML. This presentation will also look at a few 19c/18c new features that should be in use now. We’ll look at how Machine Learning and Autonomous Database will change the role of the future DBA.

Learning Objective 1: 20c New Features
Learning Objective 2: 18c/19c New Features to have in use
Learning Objective 3: Machine Learning and the future of AI for the DBA

Red Hat Enterprise Linux and Oracle Linux continues to gain market share as a reliable 7/24 mission-critical enterprise server platform. As a DBA in today’s economy, you must possess both the system and database expertise.

Learn all the best practices for Red Hat/Oracle Linux 6 and 7 required to implement Oracle Databases in bare metal servers and in virtualized infrastructures. Leveraging real-life experiences and techniques, learn from the author of the Linux Recipes for DBAs book by APress on how-to:

1. Leverage PreInstall RPMs to prepare the Linux environment for Oracle database, OEM Agents, and EBusiness Suite environments
2. Setup and leverage a local Yum Repository
3. Setup kernel and network parameters, shell limits, and file limits
4. Setup Huge Pages / Disable Transparent Huge Pages
5. Setup Jumbo Frames
6. Configuring device mapper
7. Oracle ASM Filter Driver, ASMLIB, ACFS configuration
8. Setup correct partition alignment

Trace File Analyzer includes features and tools to help Oracle customers achieve improved outcomes when creating service requests and interacting with Oracle Support. Learn how to leverage these components to speed and automate creation of service requests, target collection for specific issues, and use the SQL Test Case Builder to assist Oracle Support investigations of database and performance issues. Participants will learn:

• How to use the advanced diagnostic features in TFA to create targeted collections based on specific conditions and events.
  ways to connect TFA to MOS and upload files directly to Service Requests.
• How to use the SQL Test Case Builder to create and share performance incidents and reproduce problematic SQL on other databases.
• How to automate collections, create notifications, and view, package and manage RDA incidents from within TFA and Autonomous Health Framework.

This panel will discuss the revolution going on in the database world today—relational, big data, and beyond, along with its effect on the role of the database administrator and developer of tomorrow.

ChatOps is an automation model connecting users and tools to processes through messaging applications. It leverages the simplicity and familiarity of chat to empower users to interact directly with applications and databases, retrieving information and performing work in real-time. Done right, ChatOps is a safe, agile way to minimize or eliminate tedious, repetitive operational tasks and reduce workloads. Virtually anything can be automated or called via ChatOps through simple commands—from self service password resets, to initiating reporting cycles, to running ad hoc refreshes of development environments—all without granting end users access to a database or application.

Use the latest technology on robotics, machine learning & Oracle chatbots to create the future with AI. We will explore how to leverage and integrate robotics & machine learning into your companies tech plan. We’ll show the state of robotics and how you can test and use this technology to create the future.

With the recent announcement at Oracle OpenWorld, starting in Oracle Database 19c, we are allowed to have up to 3 pluggable databases per container database. Effective Oracle Database 20c, non-containerized databases will no longer be supported.

As an attendee of this session, you will receive a free copy of the PDB Me to Oracle Cloud book written by Oracle ACEs. Come learn what it takes to effectively create, configure, manage and monitor Oracle PDBs. Learn all the latest and greatest new features of Oracle PDBs from Oracle 12.2/18c/19c.