This document discusses Oracle's Autonomous Database and provides a walkthrough of creating and connecting to an Autonomous Database instance. It begins with an overview of the Autonomous Database's self-managing capabilities. It then demonstrates a 5 step process to create an Autonomous Database, set the admin password, and download credentials. It further explains how to connect to the database using SQL Developer or other tools via the downloaded wallet and connect string details.
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So how are we automating generic database operations? What are the key features that underpin the autonomous data warehouse? This process of automation, and move into autonomous data warehousing, isn’t actually a new thing. In fact Oracle has put a huge amount of effort into automating all aspects of the database management for decades including:
If we look as far back as Oracle Database 9i and 10g [CLICK]
you see that we introduced fully automated management of features such as storage, Memory management, query management and [CLICK]
We built on and extended those features in 11g and 12c with the delivery of automated SQL Tuning, automated management of data placement, Cluster health monitoring etc.
So it really has been a journey to this point in time when we can offer the Oracle Autonomous Data Warehouse Cloud
So to achieve our of goals
- run fast
- but keep an eye on how to run things faster
- then either tell me or do it for me when needed
we need something better…
And its not something "NEW" in 18c, or 12c, ….
Its something you already have !!!
So to achieve our of goals
- run fast
- but keep an eye on how to run things faster
- then either tell me or do it for me when needed
we need something better…
And its not something "NEW" in 18c, or 12c, ….
Its something you already have !!!
Today we are seeing businesses allocating over 72% of the IT budgetto “keeping the lights on” or maintenance task, leaving too little time for innovation. So there’s a strong need to optimize legacy environments to cut costs and shift resources from maintenance to innovation. And there’s urgency to act as digital disruptors are eating away market share, and competitors typically ramping up their efforts to become more data-driven.
Additionally, we see that existing on-premises infrastructure often do not allow our customers to move fast enough to support the business in the way they would want to (for example to very rapidly spin up new Dev/test environments). Lines of Business may then resort to shadow IT to drive their own initiatives…which can create various issues.
And of course the demands from Line-of-Business leads in terms of performance SLAs, uptime, security & regulatory compliance are far from declining.
Your job is not going away but it will evolve, so you must change with it
You will spend less time on generic maintenance, more time innovating
More time with the business
Executing more projects, reducing backlog, getting more value from data
Cloud’s fast provisioning and pay-as-you-go enables rapid experimentation
More time with developers
Optimizing data access, improving end-user experience
Your job is not going away but it will evolve, so you must change with it
You will spend less time on generic maintenance, more time innovating
More time with the business
Executing more projects, reducing backlog, getting more value from data
Cloud’s fast provisioning and pay-as-you-go enables rapid experimentation
More time with developers
Optimizing data access, improving end-user experience
Your job is not going away but it will evolve, so you must change with it
You will spend less time on generic maintenance, more time innovating
More time with the business
Executing more projects, reducing backlog, getting more value from data
Cloud’s fast provisioning and pay-as-you-go enables rapid experimentation
More time with developers
Optimizing data access, improving end-user experience
Your job is not going away but it will evolve, so you must change with it
You will spend less time on generic maintenance, more time innovating
More time with the business
Executing more projects, reducing backlog, getting more value from data
Cloud’s fast provisioning and pay-as-you-go enables rapid experimentation
More time with developers
Optimizing data access, improving end-user experience