Data Stewardship Glossary

Large Language Models (LLMs) are advanced artificial intelligence systems that understand, process, and generate human-like content. This understanding sheds light on their implications for data management, particularly in areas like Data Stewardship and Master Data Management. Additionally, as we delve into the workings of LLMs, we can explore how they relate to concepts such as a Data Dictionary and the use of a Graph Database, considering their types and potential future developments.

Data stewardship (DS) is the practice of overseeing an organization’s data assets, ensuring they are accessible, reliable, and secure throughout their lifecycles. This includes maintaining a comprehensive data dictionary that defines the various data elements and their relationships. Learn about the different types of data stewardship, their importance, and the challenges they face, especially in the context of emerging technologies like graph databases and large language models. Additionally, explore how effective master data management plays a crucial role in enhancing data stewardship.

Master Data Management (MDM) can be tricky to understand. It connects all enterprise data assets, including the Data Dictionary, to enable the understanding and execution of business activities. This 'What Is' article will cover its meaning, how it works, the importance of Data Stewardship, its advantages, drawbacks, use cases, and some insights into how technologies like Graph Databases and Large Language Models can enhance MDM.

With the increasing use of generative AI, companies are turning to graph databases to train Large Language Models and extract insights. This piece will cover the workings of a graph database, its distinctions from other database technologies, and explore various types available. Additionally, we will touch upon the importance of Data Stewardship and how a comprehensive Data Dictionary can enhance Master Data Management in conjunction with these technologies.

Data dictionaries are a unique tool that describes data in business terminology, playing a crucial role in data stewardship. This piece explains how they differ from data catalogs and data models, highlighting their significance in Master Data Management. Additionally, it outlines the benefits and functions of data dictionaries in the context of data governance, especially when integrated with technologies like graph databases and large language models.