Data Mesh – a new, transformative architecture paradigm that has created quite the stir – can give your data goals a new lease on life. If you are still wondering about it then this article is for you. Let's explore it with us now.
In this age where self-service business intelligence rules the roost, almost every company seeks to position itself as a data-driven organization. Most businesses are acutely aware of the myriad benefits that can be leveraged by leverage to make intelligently empowered decisions. The ability to provide customers with a top-notch, hyper-personalized experience while reducing cost and capital being the most compelling.
However, organizations continue to face a range of complexities in transforming to a data-driven approach and leveraging its full potential. While migrating legacy systems, shunning legacy cultures, and prioritizing data management in a mix of ever-competing business demands are all valid constraints, the architectural structure of data platform initiatives also proves to be a major roadblock.
Siloed data warehouses and data lake architecture come with limited capabilities for real-time data streaming, and thus, undermine the organizations’ goals for scalability and democratization. Fortunately, Data Mesh – a new, transformative architecture paradigm that has created quite the stir – can give your data goals a new lease on life.
Let’s take a closer look at what Data Mesh is and how it can transform big data management.
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