DataGalaxy and Starburst, pioneers in collaborative data governance and SQL analytics engines for data lakes and federations, recently presented a joint webinar showcasing their services’ powerful, new integration. Offering an innovative solution for managing and organizing data from multiple sources, the webinar features Laurent Dresse, DataGalaxy’s Chief Evangelist, Victor Coustenoble, Starburst Solutions Architect Manager, and Julien Laguilhomie, DataGalaxy Product Manager.
Does your company need a data catalog? Data catalogs have become essential for improving data quality, access, and insights for businesses of all sizes. Data catalogs provide a comprehensive view of a company’s data assets. Modern catalogs identify where data comes from, who produces it, and how and where it flows through an entire organization.
Today’s data catalog is an advanced tool for organizing and managing an organization’s data assets. This data governance tool typically includes various features and capabilities that help users locate and understand data. These tools include a search engine, metadata tags, data lineage tracking, and collaboration tools. It may also have other features, such as data governance tools and integrations with other data management systems.
For businesses looking to build the best data architecture, the choice between a data mesh and a data fabric can be a challenging one. These two approaches, while similar in their goal of organizing data, have some key differences. In this article, we will explore the concept of data mesh and data fabric, their differences, and their benefits.
Data curation is an indispensable asset for organizations looking to maximize the true value of their data, make data-driven decisions, and stay competitive in an increasingly hostile business market.
Data management is an essential aspect of any organization, large or small. Having a clear understanding of the data you have, how it is organized, and how it is used is crucial for effective decision-making and data-driven strategies. Two tools that can help with this process are data catalogs and data dictionaries. While these two tools may seem similar, they actually serve different purposes and have some key differences.
Creating a data culture has become a must for organizations heading into 2023, and the first step is to stock up on the necessary tools. But it is easy to get lost! Between data catalogs, business glossaries, and data dictionaries, there are a lot of terms to learn to get around.
Here is an overview of these three critical tools’ key characteristics and differences.
Building a common business vocabulary is critical for fostering data-driven decision-making within an organization. That is why it is critical to have a Business Glossary to help with the process.
Active metadata management is a new type of data management in which active metadata is used to give clear and understandable information to support business decisions.
Data Lineage allows you to visualize the life cycle of data through a clear mapping and is a highly sought-after feature of the Data Catalog. Defining the origins and transformations of data is an essential step in any data governance strategy.
Data catalogs store information on all of the company’s data in one place. They collect data in a single repository and organize, analyze, and distribute the accompanying metadata. Without a data catalog, it will be harder for your organization to derive value from your business data and perform analyses necessary for the improvement and betterment of innovation, technological development, and business strategy.
Have you ever wondered what a data catalog is or why it’s important for making smart business decisions? This blog post explains what information a data catalog holds and how it will help your team make faster, more informed decisions.
