As each project comes along, there’s something new to add to the OCI Arcade. It started off with the game and Autonomous Database. And then grew into including Kafka, Docker Swarm, Serverless with the FN Project, Terraform, OAuth, Ansible, In-Memory Data Grid with Coherence-CE and more recently with Arm. This time round we’ve adding in a Customer Relationship Management (CRM) solution. Why? Up to now, users has been a simple identifier to denote the scores and the events in the game. Nothing more; nothing less. By adding in a CRM into the mix, we’ve opening up the understanding about our contacts and customers providing a richer experience for those coming to the arcade. And ultimately, from a space where we are build, experiment and try something out – adding user profiles opens up endless possibilities. Check out the rest of this about how it’s changed and some of the things we needed to do to make this happen.Continue reading “OCI Arcade Now Has A CRM”
This is going to be quick. This is not a “war and peace”. Over the next few days, there will be converging on the #SmartCities hosted by Hackmakers- Friday, June 4 – Tuesday June 8 (07:30 EST | 17:00 IST | 19:30 SGT | 21:30 AEST). You can find more details (here). There was an ask at the previous hackathon which was which instigated this piece of work:
Continue reading “Make CSVs into APIs (+ More)”
How might I create an API from a CSV dataset?
If you had come here because of the link in the information pack, great. If you have come here because you found this page through other means – read on and if you are inspired to contribute (on April 16-19) – head to the Hackmakers site (here) to register for this event.Continue reading “Each Little Bit Helps …”
Adding security over the APIs across multiple layers was something that we considered when putting this project together. This perspective was reinforced at the #DigitalDefence hackathon in Nov 2020. Check out what happened (here).
Here we will focus on the different REST APIs exposing the data hosted by Autonomous Data Warehouse. We started off with HTTP Basic Authentication but quickly turned to using OAuth. Here we’ll explore more about the OAuth side and how to get that started.Continue reading “Adding OAuth to ORDS”
Over the past couple of weeks, there’s been another Viz for Social Good project that was running. For this project, the supporter was Kiron Open Higher Education (https://kiron.ngo/en/) – an organisation that is providing a learning platform for refugees and underserved communities in the Middle East.
The project was to put a spotlight on refugees and immigrants and was linked to the virtual refugee conference called Amplify Now (https://virtualrefugeeconference.com/). Submitted projects went into the running to be featured at the conference itself.
So what’s my take on this?
Jupyter Notebook is an open source web application for Machine Learning and Data Exploration.
In this post I will show you how to connect a Jupyter Notebook to Oracle Autonomous Database and explore the data using Python.
The assumption is we already have a Jupyter notebook sandbox running on Oracle Cloud compute instance.
- A Jupyter notebook sandbox on Oracle Compute Instance. (Check out the documentation)
- Assumption that you have already installed Oracle Instant Client on your instance
- Python 3.6
I recently had a requirement where the Common User in a Multitenant DB environment wanted to access application tables across Pluggable Databases (PDBs) but at the same time access dictionary views across all PDBs without the need to manually switch between containers.
This was because I had to setup a monitoring user account to monitor all PDBs performance as well as application workload.
In this example I will show you how the Common User (created at CDB level) can be configured to access the application tables (create at PDB level)