Mario Meir-Huber

The Data Mesh as the end of the Datalake as we know it

The era of the centralized data lake is over. Learn how a decentralized data mesh empowers business domains by treating data as a first-class product.

The Data Mesh as the end of the Datalake as we know it
#1about 4 minutes

Why large corporations struggle with managing their data

Large enterprises face significant data challenges due to distributed ownership, complex legacy systems, and pervasive data silos.

#2about 5 minutes

The historical evolution from data warehouses to data lakes

Centralized data warehouses proved too expensive and inflexible, leading to the rise of data lakes which introduced new problems with governance and complexity.

#3about 2 minutes

Understanding data mesh as a concept, not a technology

The data mesh is an organizational and cultural blueprint for data handling, not a specific software or platform you can install.

#4about 6 minutes

Addressing the core failures of traditional data approaches

Traditional data strategies often fail by focusing on ETL pipelines and monolithic platforms instead of solving actual business problems.

#5about 4 minutes

Building a distributed and domain-driven data architecture

Data mesh aligns data architecture with business domains using microservices principles, ensuring solutions are simple and tailored to specific needs.

#6about 3 minutes

Leveraging self-serve platforms to accelerate data work

Adopting a self-serve platform design using public cloud services allows teams to focus on solving data problems instead of managing infrastructure.

#7about 2 minutes

Shifting the mindset to treat data as a product

The data-as-a-product principle holds domain teams responsible for the quality, availability, and accessibility of their data for others to consume.

#8about 6 minutes

Defining the essential attributes of a data product

A data product must be discoverable, addressable via APIs, trustworthy, self-describing with metadata, interoperable, and secure.

#9about 1 minute

Data mesh as a solution for modern data challenges

While not a silver bullet, the data mesh framework provides a more effective approach for managing data in large, complex organizations.

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Azure
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