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.
Continue reading “Teaching How to Get Started with Oracle Autonomous Data Warehouse Cloud Service”
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.
Continue reading “Your Place or Ours”