Collecting data is one part of the story. To know your data estate is another part. Let's see how Azure Purview can help you to manage and govern your data estate, find relevant pieces of information, classify data assets and connect these pieces into the Azure Purview data map.
One of the most important parts of your data knowledge is the information about your data relationships – the data supply chain. Join Wolfgang Strasser and Anna Hoffman in this episode of Data Exposed: MVP Edition to see the new Azure SQL lineage extraction in action and learn more about what is going on in your data estate.
Wolfgang creates solutions based on the Microsoft Data Platform in his day-to-day job as Data Consultant at cubido business solutions. Either using SQL Server, Azure SQL Database, or Data Lakes, building data models with Power BI and Analysis Services or implementing data analysis solutions - the data landscape is broading every day and used in many different customer projects.
Wolfgang really enjoys to share his knowledge with the community at many national and international events and by publishing blog post on his own blog. For his community work, Wolfgang has been awarded with the Microsoft MVP Award for Data Platform in October 2015.
About MVPs: Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real-world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more:https://aka.ms/mvpprogram