The possibilities of Machine Learning models are almost limitless. Ranging from predicting customer churn over determining the right discount to maintaining your machines using predictive maintenance. The outcome of a machine learning model is often straightforward: a zero or one in classification problems, a continuous number in case of a regression problem. However, companies might also be interested in understanding how ‘the number’ […]
Tag: aivix
Connecting and Using MS Graph in Azure Data Factory
Companies are creating more and more data, on which they want to gain insights. One valuable source of data is data from within the company itself, from the companies’ structure. For this type of data, the MS Graph API is something to look at. The API provides a single endpoint to access all kinds of […]
Feature Store
Everyone who has already come in touch with data science, has already heard of features used in such models. One aspect that can become quite challenging, is reusing features in a consistent way, across several team members, projects and in environments. In this article, I will explain the most commonly used way to resolve these […]
How ALM streamlines BI projects: Azure DevOps
Application Lifecycle Management (ALM) refers to a (software) development process which has been setup in a governed and easy-to-manage way. ALM provides added value to the development team, project managers and the business users. While ‘ALM’ is mostly coined by pure software development projects (…written in 100% programming languages), BI projects (which are by nature […]
Process Mining: Understanding Simple Process Discovery Techniques using Python
Hi and welcome to this blog on process mining Process mining is a set of techniques used in the field of process management and improvement which supports the analysis of processes based on event logs. Process Mining is able to fire different algorithms on a certain event log to identify patterns and trends in your […]
The Data Lakehouse
Every year, a new buzzword emerges in Data and Analytics; get to know the ‘Data Lakehouse’. Will this be the future of all analytical projects, or will this just be another fuzz that will only be used in rare cases? This blog will guide you through the architecture of a Data Lakehouse, you will learn […]
The Data Vault Methodology
Data Warehouses have served the purpose of providing a source of value-added information for quite some decades. In supporting business users in their day-to-day operations, Data Warehouses integrate multiple sources used throughout the organisation, track history for knowledge improvements, auditing and compliancy, and provide the business with an easy-to-access and easy-to-explore insight layer. While Data […]
