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. Proper management practices are critical to mitigate this risk.

Data Lakes 91

Data Lakes Data Silos Data Quality ML 91

ODSC - Open Data Science

APRIL 28, 2023

As critical data flows across an organization from various business applications, data silos become a big issue. The data silos, missing data, and errors make data management tedious and time-consuming, and they’re barriers to ensuring the accuracy and consistency of your data before it is usable by AI/ML.

ML 98

ML ML Data Silos Data Quality 98

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. The data lake can then refine, enrich, index, and analyze that data.

Data Lakes 52

Data Lakes Clustering Big Data Big Data 52

Heartbeat

DECEMBER 7, 2023

What is Data Mesh? Data Mesh is a new data set that enables units or cross-functional teams to decentralize and manage their data domains while collaborating to maintain data quality and consistency across the organization — architecture and governance approach. We can call fabric texture or actual fabric.

Data Governance 52

Data Governance Deep Learning Deep Learning Artificial Intelligence 52