#data-mesh

What Is a Data Mesh? Why Companies Are Moving Away from Centralized Data Teams

If you’ve been following along with this series, you’ve learned about SQL, Snowflake, dbt, Airflow, and a bunch of other tools that power…

Telecommunications in the Data Age: Sustainable IT Transformation with Data Mesh

This article provides a general summary of my master project (The Tech-Co Transformation of the Telecommunications Sector in the Age of…

Cómo construí un Data Product completo, de MongoDB a BigQuery, al estilo Data Mesh

Quise construir un proyecto que mostrara, en la práctica, el ciclo de vida completo de un Data Product del primer byte al último, tal como…

How I built a complete Data Product, from MongoDB to BigQuery, Data Mesh style

I wanted to build a project that showed, in practice, the full lifecycle of a Data Product — from the first byte to the last, the way it…

Collate Data Marketplace for Data Access Without the Wait

by: Dale Kim

Como construí um Data Product completo, do MongoDB ao BigQuery, no estilo Data Mesh

Quis construir um projeto que mostrasse, na prática, como reproduzir o ciclo de vida completo de um Data Product, do primeiro byte ao…

Data Series: Why Aren’t you choosing Data Mesh? — Part 1

Data is the new gold : Unlocking Data True Value, at the Speed of Business.

Do We Really Need Snowflake Open Catalog If AWS Glue Catalog Already Works?

While implementing Apache Iceberg tables with AWS Glue and exposing them to Snowflake through External Iceberg Tables, I found myself…

Anatomy of an Enterprise Agent — Part 2

Enterprise Agents on Top of Governed Data Products

Data mesh and domain-aligned data product architecture. A practical business guide.

Your marketing team needs customer data. They wait 3 weeks for the data team to pull it. Your sales team wants real-time product…

Data Product vs AI Product: The Hard Truth About Why They Cannot Be Built the Same Way

In 2025, enterprises poured $684 billion into AI, and $547 billion of that, more than 80%, failed to deliver business value (RAND, via…

Databricks Jobs Monitoring in your custom Databricks App

You're an active Databricks user and have already scheduled several dozen jobs. By default, there are two ways to monitor job failures: set…

Chega de Data Mess: Por que sua arquitetura de MarTech precisa de donos e de dados descentralizados?

Segunda-feira, 9 da manhã, o diretor de marketing está cobrando por que o ROAS no dashboard do Looker não bate com o que o Gerente de…

Data Contracts v2: From Schema Enforcement to Behavioral Guarantees

The first wave of data contracts validated structure. The next wave must validate meaning, freshness, distribution stability, and…

The Questions That Actually Matter When You Build a Data Product

Most data products fail quietly. Not because the pipelines broke or the model drifted, but because nobody asked the right questions before…

The Data Mesh Misdiagnosis: Why 82% of Implementations Stall at the Platform Layer

Most organisations did not fail because they lacked the right platform. They failed because they never built the product discipline…

4 Data Engineering Patterns for Marketing: An Guide to Reliable and Scalable Pipelines

“How to architect more reliable pipelines by integrating data from Analytics, CRM, and other marketing sources.”

Monetización del dato: Estrategias industriales para transformar datos en Ingresos

Stop Building Data Lakes. Start Building Data Products.

The data lake holds fifty petabytes. The CEO asks for a customer churn prediction. The team quotes six weeks. This is not a technology…

When Your Data Hub Becomes a Bottleneck: A Practical Path to Data Mesh

For many organizations, the data hub or data lake started as a powerful idea. Centralize all data, build shared pipelines, and enable…

Transforming Analytical Chaos into Strategic Assets

Introduction

Avoiding “non-toxic glue” answers in our data mesh (loveholidays AI diary #5)

At loveholidays, we have lots of data. We organise it in a data mesh to avoid the bottleneck often found with centralised data teams.

From Dataset to Data Product: My Journey Implementing Databricks with Collibra Governance

Recently, I had the opportunity to work hands-on on something that genuinely reshaped how I think about data architecture.

Best Practices for Adopting the Snowflake Internal Marketplace

Best practices and lessons learned for adopting the internal marketplace successfully in your organization.

Data Mesh vs. Data Products: The Ecosystem, The Asset, and The CLV Disaster

The Significance of the Ecosystem, the Crux of the Architectural Quantum, and a Visual Journey through the Semantic Chaos!

Data Fabric and Data Mesh: The Future of Data Management in 2025

In 2025, information is the most precious money in the digital age. All firms both startup and international require rapid, secure, and…

Data Fabric and Data Mesh Hidden Costs Explained: Maximizing ROI for Enterprises in 2025.

Unlock key insights on hidden costs in Data Fabric and Data Mesh architectures and learn practical strategies to maximize ROI in 2025.

Data Mesh vs. Data Lakehouse on AWS: Pragmatic Guidance

Enterprises are drowning in data but struggling to extract value from it. While cloud platforms like AWS provide the scale, flexibility…

Gouvernance des données, réussir avec le Data Mesh

0 commentaires

From Data Mesh to Agentic Mesh: How Business Questions Become Self-Serve Insights

One of the most common frustrations in data-driven organizations is the wait time. An analyst has a pressing business question, but the…

Data Mesh: Architectural Patterns and Real-World Implementation Strategies for Enterprise Data…

By Srinivasa R. Tadipatri

Breaking Down Enterprise Data Silos: An Overview of Snowflake’s Horizon Internal Marketplace

Imagine your company’s data is spread across teams, stuck in silos, or buried under layers of access requests. Sound familiar? Maybe your…

Can we implement Data Mesh in dbt ?

The answe is Yes, we can implement a Data Mesh using dbt, and in fact, dbt is one of the best tools to support Data Mesh principles when…

Data Mesh vs. Data Mess: Lessons from Scaling Analytics

Your dashboard is lying to you. And it’s probably not its fault.

Understanding Principles of Data Mesh Architecture — part 1

Overview

Align Your Data Architecture for Universal Data Supply

Follow me through the steps on how to evolve your architecture to align with your business needs

Modern Data And Application Engineering Breaks the Loss of Business Context

Here’s how your data retains its business relevance as it travels through your enterprise

Veri Dünyasının Silahşörleri

Veri yönetimi konusunda çalışan profesyonellerin bir süredir gündeminde olan 2 kavram var.

Data Mesh Araçları ve Uygulama Kılavuzu

“Data mesh’i ilk duyduğumda şüpheciydim. Konunun derinliklerine indikçe, veri mimarisinin uzun süredir kayıp olan akrabası domain sahipliği…

Data Fabric or Datamesh .. which one defines next Data Architecture Frontier?

Case Study: Driving Enhanced Analytics for idealo Using AWS

How Netlight built a state of the art tracking platform on AWS for improving user behaviour analytics

What’s next for analytics in 2023?

Will analytics teams conquer the last mile of analytics in 2023?

Qu’est ce que le data mesh ?

A quoi sert-il et quels sont ses fondements ?