The importance of data retention policies
A data retention policy is the first step in helping protect an organization’s data and avoid financial, civil, and criminal penalties that increasingly accompany poor
A data retention policy is the first step in helping protect an organization’s data and avoid financial, civil, and criminal penalties that increasingly accompany poor
Migrating data, systems, IT infrastructure and applications is no easy feat. But, many companies, pressed to modernize and meet the current market demands of the
An article on Substack entitled The Death of Data Modeling has aroused heated discussions among data practitioners. According to the article, many of those data
As our world becomes increasingly digital, there are massive amounts of data being generated, stored and maintained. Such data has huge untapped potential—harnessing it can
Here are some of the best practices for implementing MLOps successfully. You’re likely already familiar with machine learning and its uses in today’s world. Artificial
As the amount of data being produced in the world increases, it is becoming essential to create systems to store, handle, and manage this existing
Nowadays, it is not unusual to talk about terms such as Artificial Intelligence or Machine Learning. Society, companies and governments are increasingly aware of techniques
Over the last years, many organizations have been investing substantially in data and analytics. The objective is to become more data-driven, become a tech style
The goal of this blog is to cover the key topics to consider in operationalizing machine learning and to provide a practical guide for navigating
Data architecture is a challenging and sometimes confusing field. It can be confusing because data architecture means different things to different people and there are
Cloud computing hasn’t always been synonymous with great security. However, despite early fears that it was less secure than data centres, the cloud is now
Data lakes and data warehouses are both used to store data. And while they have innate differences, and serve organizations differently, there is a universal