What is Data Mesh and Why Should You Care? 🌐📊 (Data Mesh – Part 1)

Hello everyone 🙌! Today I’m going to talk about something that is revolutionizing the world of data management: Data Mesh. If you’ve ever wondered how to make your data teams work more efficiently, keep reading.

Why Was Data Mesh Created? 🤔

Think of it this way, old models of Data Governance and data management often resemble a supermarket 🛒. You have a central area (the data team) that controls all data sources. It’s a monolithic approach and often creates bottlenecks..

The Promise of Data Mesh 🌟

Centralized architectures serve smaller companies best, those that are not data-driven and do not base their strategic decisions on data analysis. Data Mesh breaks this mold. Imagine now that instead of a central supermarket, you have a network of local markets 🏪. Each team within your organization becomes its own “data provider,” promoting a move towards a data-driven culture.

Practical Example 🛠️

Things are always better understood with an example 😉. Suppose you work in an e-commerce company. The marketing team 🎯 wants access to sales data to create more effective campaigns. In the old model, they would have to send a request to the central data team and wait. But with Data Mesh, the sales team has already prepared this data in a usable format. The marketing team can easily access it without waiting for weeks.

Advantages of Data Mesh 👍

1. 🔄 Decentralization: Each team is responsible for its own data set.
   In fact, according to Gartner, 75% of large enterprises have faced data governance problems due to a lack of decentralization.
2. 🎨 Scalability: Easier to scale than centralized models.
   An IDC study showed that decentralized organizations are 35% more efficient in scaling their data operations
3. ⏳ Agility: Facilitates a more agile workflow, perfect for Agile mindsets and frameworks like Scrum or Kanban.
   

Final Words 🎬

Data Mesh is not just technology; it’s also a culture. It’s more than a trend; it’s the future of how we will manage data in modern organizations. And remember, if you don’t adapt, you fall behind 🚀.

I hope this article has opened your eyes and invites you to delve deeper. In fact, in the next post, we will go in-depth by looking at a use case in a very didactic way to better understand the concept of Data Mesh and its advantages. Don’t miss it!

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Excellence in Data & Analytics is a journey, and it’s better when done in good company 👫