The ability to make data-driven decisions is critical to meeting and achieving business objectives for most organizations. As the amount of data generated continues to grow, traditional centralized data architectures are presenting various challenges. A data-centric approach has become essential for businesses to make sense of the vast amounts of data and leverage it for competitive advantage. However, achieving this requires a fundamental shift in how organizations approach data management. This is where a data mesh comes in - it provides a decentralized approach to data management that empowers domain experts to create and manage their data products. Organizations that build a data-centric enterprise with a data mesh should embrace this approach for both operational and analytical purposes.

In this talk, we’ll describe specific use cases of how an organization used a data mesh to untangle their integrations and combat decades-long “spaghetti architectures” by building operationally aligned data products. We’ll then go on to show how analytically aligned data products were built to provide actionable insights. A data mesh doesn’t have to be purely operationally or analytically focused. A successful approach requires both perspectives to be considered when creating domain-specific data products that are optimized for a particular use case and business needs.

You’ll see how a data mesh provides a powerful framework for building a data-centric enterprise that empowers domain experts to effectively manage the complexity, volume, and real-time needs of data in today’s business landscape. Furthermore, you’ll have experienced use cases where a data mesh helped organizations overcome the challenges of legacy systems and siloed data by promoting collaboration, innovation, and agility. By attending this talk, you'll understand how a data mesh can be applied in practice and how it can help your organization become truly data-centric.