Tag: Autonomous Database

Embracing Autonomous: Oracle Autonomous Database 18c

Oracle introduced the autonomous database in the Oracle Cloud this past March of 2018. It is set up for data warehouse-type workloads and not yet for heavy transactional systems or even hybrid-type applications. As a Database Administrator (DBA), we know that most of our applications have hybrid to heavy transaction workloads, and of course a few data lakes or warehouses. Well, good news — on August 7, 2018, Oracle announced and made immediately available Oracle 18c autonomous database in the Oracle Cloud for transaction processing.

5 Expert Opinions on Oracles Autonomous Database

Oracle’s new autonomous database service, the Oracle Autonomous Data Warehouse Cloud, deploys, optimizes, patches and secures itself, all without human assistance. This automation allows for greater performance and efficiencies and is what Larry Ellison, Oracle co-founder, executive chairman, and chief technology officer is calling one of “the most important things” Oracle has done.  

The 18c Database & the Oracle Autonomous Database - Panel
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Discuss the features on 18c that are important to the DBA and/or Developer.  Discuss the new Autonomous Database and what that means for the DBA and/or Developer.  Look at the future ahead for Tech and Oracle.

Under the Hood of the Smartest Availability Features in Oracle's Autonomous Database
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Oracle Database 18c will be the world's first autonomous database. It will be self-driving, self-tuning, self-scaling, self-securing and self-repairing. This session will have a closer look at those features that build the foundation for the self-driving and self-repairing nature of Oracle Database 18c, as those features are meant to enable the database to meet user-defined…

Preserve Database SLAs with Machine Learning and Oracle Autonomous Health Framework
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The Oracle Autonomous Health Framework (AHF) is a major enhancement in ensuring database performance and availability introduced with the Oracle Database 12c Rel. 2. This session will explain and demonstrate how incorporating applied machine learning techniques in Oracle Cluster Health Advisor, Hang Manager and Trace File Analyzer, autonomously and automatically preserves availability SLAs especially in consolidated or cloud database deployments.