Data mesh is taking the data world by storm! As exciting as it sounds, putting it in place may seem like a mesh to undertake. In this session, you'll learn about Collibra's data mesh journey & practical steps for a strong, successful path to data mesh for your agency. Join us at this webinar to: Hear an introduction to data mesh Learn about real data mesh journey Understand the value it will bring to your data strategy

Data quality is important to ensure the data your users are working with is accurate. Automated data classification helps to ensure that new data coming in is recognized and classified appropriately. Together, data quality and classification help agencies and organizations make their data more reliable, understandable, and ultimately, more usable to drive improved mission outcomes. Join this webinar to learn how: Collibra Data Quality and Obse...

Many agencies struggle with the quality of their data. It can be outdated, duplicative, or just plain wrong. This makes it hard to trust it and make informed, viable decisions. Show your data some love by putting quality at the heart of your data strategy.Join this webinar to understand how Collibra Data Quality and Observability:Plugs into your current data sources for easy deploymentGenerates explainable and autonomous data quality rulesRedu...

Join Collibra and the world's most innovative community of data leaders to experience breakthrough solutions at Data Citizens ’22: The Data Intelligence Conference. Focused on real innovation for real practitioners, you’ll have the chance to immerse yourself in the latest insights and peer use-cases to quickly scale data across your business. Join us November 1-3 to forge lifelong connections and leave feeling inspired to thrive by...

Join Eric Gerstner, Data Quality Principal at Collibra, as he runs you through tips and tricks for dealing with data quality. In a storytelling format, Eric will check his ego at the door and share real-world examples of mistakes made and lessons learned around:Bad organization decisions due to incomplete or bad dataMountain of rules that do not scale and are impossible to manageFailure to resolve data quality problems, even when they are iden...

Data lakes are a key component of many organizations' digital transformation initiatives and are the core of their data management strategies. Self-service consumption is essential for a successful data lake but is often the hardest activity to enable and support.Collibra and AWS discuss how customers with their data lake on AWS use the Collibra Data Catalog to give all users the ability to discover the data they need, understand if it's the r...