Data Governance

Just over 1.5 years ago, we announced OpenMetadata, an open-source project to solve metadata problems once and for all so the data ecosystem can move on to innovating around metadata rather than building metadata platforms over and over again. …

Semi-Supervised Learning — Semi-supervised learning is a type of machine learning that uses both labeled and unlabeled data to train algorithms. In traditional supervised learning, algorithms are trained on labeled data, where each data point is assigned a specific label or category. In contrast, unsupervised learning algorithms work with unlabeled data, where the…

A roadmap to enterprise-wide data management maturity — A question stumping many organizations — how does one embark on the complex journey of data governance? While many different facets of data management could act as the starting point, this article puts forth an argument for Master Data Management (MDM) to be the foundation upon which an organization can…

Unsupervised Learning — Unsupervised learning is a type of machine learning where the algorithm learns to identify patterns and relationships in data without being given any explicit guidance or labeled examples. In contrast to supervised learning, where the algorithm is trained on a labeled dataset, unsupervised learning is used when the data is…

Enabling Data Governance Through Tagging — Snowflake tagging is a fundamental feature that enables much potential use in your data governance. It’s data stewards’ best friend. Introduction A Snowflake tag is considered a schema-level object and can be assigned to another object. You assign any unique string value as a key-value pair. You create tags using the…

Supervised Learning — Getting Started Supervised Learning is a type of machine learning that involves using labelled data to train an algorithm to make predictions or decisions. It is a fundamental concept in the field of artificial intelligence and has become increasingly popular in recent years. If you are interested in machine learning or data…

In a world where data fuels innovation and growth, organizations face the challenge of effectively managing and sharing data to remain competitive. Traditional data governance approaches can be cumbersome and hinder business agility. Federated data governance offers a solution by decentralizing data management, incorporating data mesh principles, and focusing on…

Best practices for data visualization — Data visualization is an essential tool for businesses to understand and communicate their data effectively. However, creating a successful data visualization requires more than just throwing together a few charts and graphs. Here are some best practices to follow when creating data visualizations: 1. Identify Your Audience The first step in creating any data…

In today’s data-centric world, where every organization is capturing vast amounts of information, Data governance plays a pivotal role and is crucial for enabling innovation, success, and enabling trust. In this blog, let's answer these questions - What is data governance? What is the significance of data governance? What are…