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.
Data and analytics professionals understand that semantics matter. We have semantic layers, semantic models, and semantic analytics. We know that communicating meaning effectively requires a shared understanding of words, and phrases. If the words we use can have multiple meanings depending on the context, then misunderstanding can occur.
Data lineage is something all businesses should be aware of. You likely have a lot of data floating around, coming in, being stored, etc. Having easy access to it, understanding where it came from, knowing that it is safely secured, and more are all things your team needs to be assured of. As with many things, an automated system is far superior to executing lineage manually. However, there are numerous tools and software available where automated lineage is concerned.
Are you ready to transform your organization’s data governance and unleash its true potential? Dive into the Crawl, Walk, Run Methodology and discover the step-by-step approach to revolutionize your data management, boost compliance, and drive business success.
Imagine harnessing the full power of your organization’s data to drive growth, innovation, and competitive advantage. Data governance is the key to unlocking this potential, ensuring your data resources are effectively managed and optimized.
In today’s data-driven landscape, every industry is intertwined with complex data flows. Have you ever contemplated what happens when data is fed into a Business Intelligence (BI) system? This article aims to explore data lineage mapping, various techniques for data lineage, and provide an illustrative example. But first, let’s address a fundamental question…