Data Mesh — A new Level of Data Collaboration using Self-Serve Analytics

In this article, we will learn how Amazon DataZone promotes the idea of “self-serve data analytics”. by simplifying the data collaboration process. Learn how to publish, discover, subscribe, govern, & share data products using Amazon DataZone

Manoj Kukreja
AWS in Plain English
8 min readFeb 28, 2024

Over the last few years, organizations have been busy creating data assets that are critical for decision-making processes. However before the decision-making process kicks in, these data assets must be securely shared within the right governance in place. In addition to that, several organizations are planning revenue diversification through data monetization. But this dream cannot be effectively realized without having tight data-sharing protocols in place.

Traditionally for sharing data purposes, organizations have relied on mechanisms such as tables, data lakes, databases, warehouses, emails, SFTP, APIs, cloud storage, and network shares.

Image by author — Traditional methods of sharing data

Problems associated with Traditional Data Asset Distribution

Unfortunately, there are several problems related to these data-sharing methods:

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Written by Manoj Kukreja

Author, Big Data Engineering, Data Science, Data Lakes, Cloud Computing and IT security specialist.

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