Marketers are very good at selling everyone on the fact that resources (CPU, disks, memory) are now infinite, which is mainly true on a slide but it’s less true in real life. You may one day face this situation with…

Welcome to the August episode of Datascape’s cloud update podcast where we discuss the latest announcements from the leading public cloud vendors with industry experts. Today we are joined by Pierig Le Saux, SRE principal consultant for Pythian, who will…

Many businesses migrate to the cloud to take advantage of cost savings and improved agility. Optiva, a Canada-based company that develops software for communications service providers, recently migrated to Google Cloud Platform (GCP) with help from Pythian’s team of experts. Since…

The next generation of managed database services is upon us, offering organizations of all sizes the ability to scale database workloads quickly without forking out huge investments in either hardware or specialized expertise. One of these services is Oracle Autonomous…

In this blog post, I will describe a few takeaways on how to deploy or submit Machine Learning (ML) tasks on Google Cloud Platform (GCP). If you have less experience as a ML engineer or if you are a solution…

Disable SELinux? Think again! SELinux is always a complicated topic. If you search this on the web, most people will advise just disabling it, but that may not be acceptable from a security point of view in your organization. In…

In reviewing Grid Infrastructure Installation and Upgrade Guide for Linux, I discovered the dry-run upgrade mode to test upgrades. With dry-run being a new feature, I tested it first using GUI. From the response file above grid_2019-08-06_00-20-31AM.rsp, create dryRunForUpgradegrid.rsp: Create…

The first step to kick off a Machine Learning (ML) project is to have a written proposition for the business problem, and second, to frame the ML problem. Before even discussing an ML method, it is necessary first to understand…

Starting with 12c, running datapatch may be required after creating a database, depending on the database version and method for creating the database. Instead of having to remember all the variations, it’s much simpler just to run datapatch -prereq after creating…

In this series of blog posts, we will recommend some best practices identified from our own failures and successes throughout our time implementing machine learning (ML) systems. We won’t discuss ML techniques here, but instead, provide an upper-level overview of…