Tag: Autonomous Database

Presented at BLUEPRINT 4D 2022
Title: Your Self-Service Data Warehouse Should be Autonomous
Session ID: 107920

Self-service is empowering, but who wants to take over installation and configuration from IT? Autonomous Database is self-driving and comes bundled with a powerful suite of tools pre-deployed. Learn how you can get your job done fast, without sweating the IT.

Presented at BLUEPRINT 4D 2022
Title: Productivity improvement of Enterprise Applications through Autonomous Database
Session ID: 111420

Learn best practices for moving enterprise database workload which has workload characteristics of OLTP and data warehouse to Autonomous Database (ADB). In the study case we will focus on migrating PeopleSoft Application Database from ExaCS to Autonomous Database (ADB). Along with migration we will also talk about managing key aspects of Autonomous Database (ADB) like scalability, performance, using autonomous health framework and automating problem. Also, we will share how to use Oracle enterprise manager and Oracle management Cloud to maximize performance and rebalance workloads.
In second part of this session we will delve into consolidation of database instances on ExaCC platform. We will go through our real-world experience where we migrated around 150 TB of data to ExaCC platform which supported enterprise application like EBS and OBIEE.

Presented at BLUEPRINT 4D 2022
Title: Automating Data Management for All
Session ID: 100260

Oracle Autonomous Database has simplified the management of operational and analytical database workloads for a variety of different use cases. This presentation highlights some of the key innovations that continue to improve DBA, developer, analyst, and data scientist productivity.

INSYNC connects technologists, developers and DBAs to product experts, industry innovators, Oracle product teams, and technology leaders for 3 full days of online education and networking. View sessions  View exhibitors

2021 QXW 

This presentation will look at 12c to 21c new features that should be investigated for use which include Multitenant, IN-Memory and Oracle 19c Automatic Indexing, and many more. I will discuss the 12c to 21c Journey for these new features with examples and sample code. Attendees can expect a brief introduction of all the new features with deep dive into Multitenant, IN-Memory, and Automatic Indexing.

Presented by Anuj Mohan, Principal Enterprise Architect, Big River Steel

2021 QXW 

Oracle Autonomous Database has simplified the management of operational and analytical database workloads. This keynote discusses how the innovation continues to improve analyst, data scientist, and developer productivity.
Presented by Gerald Venzl – Distinguished Product Manager, Oracle

Presented at RECONNECT Dive Deep 2021

Session ID: 101230

Oracle Autonomous Database (ADB) is the world’s first autonomous data management system in the cloud to deliver automated patching, upgrades, and tuning - including all routine database maintenance tasks while the system is running, all without human intervention. So what does this really mean to a PeopleSoft customer? How does it benefit you? Come to this session and find out the details on the automation of the database and how it benefits PeopleSoft customers.

Presented at INSYNC 21

Session ID: 100970

Many Machine Learning tasks need to access a lot of data set, which in many cases are stored in a database such as Oracle Database.  It makes a more scalable solution to do the machine learning task in the database, which is called in-database machine learning.  Oracle Autonomous Data Warehouse (ADW)  comes a library of Oracle machine learning algorithms and a set of building tools such as SQL notebooks  for machine learning.  This allows Data scientists to run Machine Learning projects in Oracle Database without moving data. This session will examine Oracle Machine Learning as part of Oracle database  as well as ADW . We will discuss process of machine learning:  analyze and prepare data set;  build and evaluate and apply machine learning model. We also will discuss the  Oracle machine learning features in Oracle 21c such as  AutoML for In-Database Machine Learning and newly added in-database machine learning algorithms for anomaly detection, regression, and deep learning analysis.

Oracle’s Autonomous Database was first released in 2019, initially on 18c and now upgraded to 19c. This paper will go over some of the basic concepts and features of Autonomous Database and walk you through a primer on setting up and deploying an Autonomous Database on the Oracle Cloud.

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.