Dataconomy

JUNE 19, 2025

This shift aims to streamline analytics and data science initiatives, treating data as a product to improve overall efficiency. The origin of data mesh The concept of data mesh was introduced by Zhamak Dehghani at Thoughtworks in 2019.

Data Lakes

ODSC - Open Data Science

SEPTEMBER 29, 2023

Such growth makes it difficult for many enterprises to leverage big data; they end up spending valuable time and resources just trying to manage data and less time analyzing it. One way to address this is to implement a data lake: a large and complex database of diverse datasets all stored in their original format.

Data Lakes

Dataconomy

SEPTEMBER 4, 2023

Organizations must diligently manage access controls, encryption, and data protection to mitigate risks. For example, the 2019 Capital One breach exposed over 100 million customer records, highlighting the need for robust security measures. Understand what insights you need to gain from your data to drive business growth and strategy.

Analytics

Alation

JANUARY 13, 2022

Thoughtworks says data mesh is key to moving beyond a monolithic data lake. Spoiler alert: data fabric and data mesh are independent design concepts that are, in fact, quite complementary. Thoughtworks says data mesh is key to moving beyond a monolithic data lake 2. Gartner on Data Fabric.

Data Lakes