Latest

AI Governance Maturity Model: The 5 Stages Explained

An AI governance maturity model with five stages, a self assessment checklist and what to fix at each stage to advance enterprise AI governance.

by

Jatin S

Updated on

August 14, 2026

Other blog articles

Data Observability

Announcing Custom Scheduling and On-demand monitors

Discover our March updates: Run monitors manually or on schedule, provide feedback to the incidents model, and document Catalog assets

By

Melanie Yong

Updated on

June 17, 2024

Data Mesh

Data Contracts: A Comprehensive Guide

Explore the significance of data contracts, their implementation, and how they foster collaboration among stakeholders in this informative article

By

Jatin Solanki

Updated on

October 10, 2024

Catalog Marketplace: Access Requests & Controls for Specific Assets

Explore our Catalog update: Access Request Workflow empowers users to request data, while Grant Access feature offers granular control.

By

Melanie Yong

Updated on

May 5, 2024

2024 Data Trends & Predictions: What to Expect in the World of Data

Get ready for the future of data! Discover the top trends and predictions for 2024, including AI advancements, data privacy concerns, and more.

By

Jatin

Updated on

June 17, 2024

Data Observability

Data Quality and Data Observability | Key differences

Understand the critical differences between Data Observability vs Data Quality and how they impact your data management strategy.

By

Jatin

Updated on

August 8, 2026

Data Observability

What is Data trust? Maturity Framework

Discover steps to achieve reliable data across the value chain, focusing on trust beyond tools—essential for data products and GenAI.

By

Jatin

Updated on

August 8, 2026

Lineage

Data Lineage Explained: What is it? Meaning, Benefits & Components

Explore data lineage: Understand its meaning, significance, and how it enhances data transparency and accuracy for better decision-making in businesses.

By

Jatin

Updated on

August 8, 2026

What is Retrieval Augmented Generation (RAG)?

Dive into Retrieval Augmented Generation (RAG): Discover how RAG enhances AI's understanding and response accuracy by integrating external knowledge.

By

Jatin

Updated on

May 12, 2024

Catalog

Collaborate on Data Assets with the New Feed

The new Feed feature in the Data Catalog module makes it easier than ever for users to collaborate on data assets.

By

Melanie Yong

Updated on

June 17, 2024

Data Observability

Data Validation Essential Practices for Accuracy

Discover the importance of data validation in ensuring accuracy and reliability. Learn essential practices and tools for effective data validation.

By

Jatin

Updated on

August 8, 2026

Practical Data Observability Explained

Learn about the importance of data observability in the age of big data. Discover how practical solutions can ensure data integrity and trustworthiness.

By

Jatin

Updated on

October 28, 2024

Data Observability

Data Integrity: The Key to Successful Data Management

Master the world of data management with our comprehensive insight on data integrity, its pivotal role, and strategies to maintain it.

By

Jatin

Updated on

August 8, 2026

Catalog

Data Catalog: Streamlining Your Data Management and Organization

Elevate your data strategy with a robust data catalog. Enhance data discoverability, improve collaboration, and boost overall business growth.

By

Jatin

Updated on

August 9, 2026

Lineage

Column Level Data Lineage: How It Works and What It Costs

What column level data lineage is, how it is derived from SQL, where parsing fails, what it costs to run, and the impact analysis it makes possible.

By

Jatin

Updated on

August 14, 2026

Data Observability

Reduce Time to Value for Data Observability

Discover how our revamped Config module speeds up data observability implementation, helping organizations achieve quick and efficient results.

By

Melanie Yong

Updated on

August 8, 2026

Governance

Data Governance: Essential for the Modern Data Stack

Master data governance with centralized policy management, custom classifications, and automation. Essential for modern businesses navigating complex data environments.

By

Melanie Yong

Updated on

August 8, 2026

What is Data Observability? Data Engineers Guide

Much is said about Data Observability, yet it is imperative to precisely comprehend what Data Observability entails and how it can enhance the productivity of data engineers.

By

Jatin

Updated on

August 21, 2025

Data Mesh: A Paradigm Shift in Managing Data at Scale

Explore Data Mesh, its workings, benefits, and challenges in transforming data management at scale. Discover the future of data

By

Jatin

Updated on

October 2, 2024

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