Data mesh is not something enterprises can buy off the shelf. Data mesh is a sociotechnical approach to share, access, and manage analytical data in complex and large-scale environments — within or across organizations. The technical aspect is more architecture than tool or platform, with almost a religious mantra of, “Data mesh is not about technology.” But the number one question data architecture and data engineering teams have about data mesh is, what are the strategies I use to implement it? Tune into this webinar to learn from guest speaker Michele Goetz, VP/Principal Analyst at Forrester: • some of the principles behind the data mesh concept • how to translate data mesh soft artifacts to deployable products • what data capabilities exploit the decoupled nature of compute, storage, and state • and where a scalable, high value for performance database like Vertica fits in a data mesh implementation