Teaching How to Get Started with Oracle Autonomous Data Warehouse Cloud Service

Data Warehouses have been around for a long time and they bring multiple benefits, but these also come at a cost. Some of the associated challenges that are easily identified when talking about traditional Data Warehouses include:

  • Complexity and Expensive
  • Inability to manage data and user growth
  • Hard to deploy and maintain

Oracle Autonomous Data Warehouse aims at easing these challenges with the ability to:

  • Provision a data warehouse in as little as 15 seconds.
  • Full automation of management of the Data Warehouse
  • Instant scaling with zero-downtime
  • Automated Tuning
  • Migration tools, e.g. Redshift

In this blog, let’s show can easily we can provision a new Oracle Autonomous Data Warehouse, load data into it and run some data visualization on top.

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Your Place or Ours

Sometimes you just want to build a local environment on your own equipment simply because it’s quick and easy. But you soon realise that other people need access and resources get a bit tight (memory, CPU, etc). That’s when it makes sense to move it from your place into the cloud.

Just recently I realised how useful Oracle Virtual Box’s new export feature is for migrating local VMs into Oracle Public Cloud Infrastructure – Compute Classic. Oracle Virtual Box’s new export formats give me the ability to easily migrate Images to the Oracle Public Cloud where I can scale my environments as required.

Earlier this week I was building a new Oracle Identity and Access Management development environment on my laptop. This worked well from an initial build and configure perspective but there comes a time when I need to make this environment available to my Developers, Testers and other stakeholders. Running this image continuously on my laptop quickly becomes impractical even for development teams.

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