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Governing the Kafka Firehose

ByDataHub April 25, 2024June 4, 2025

Learn how DataHub Cloud helps data teams govern Kafka streaming data, detect schema changes, prevent breakages, & maintain data quality at scale.

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When Data Quality Fires Break Out, You’re Always First to Know with Acryl Observe

ByJohn Joyce April 23, 2024June 17, 2025

Detect data quality issues before they impact your business with Acryl Observe. Unified data observability, governance & discovery in one platform.

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How KPN Uses DataHub to Implement Data Mesh at Scale

ByDataHub April 18, 2024June 17, 2025

Discover how KPN implemented data mesh at scale with DataHub, using data products and metadata-driven workflows to power governance and discovery.

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Five Signs You Need a Unified Data Observability Solution

ByJohn Joyce April 17, 2024June 17, 2025

Stop fighting data quality fires. Discover 5 signs you need data observability and how Acryl Observe unifies discovery, governance & monitoring.

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Data Quality Should be Part of the Data Catalog – Introducing Acryl Observe

ByJohn Joyce April 16, 2024June 17, 2025

Get alerts, assess impact, and resolve data issues with Acryl Observe. Built into Acryl Cloud for unified discovery, quality, and compliance.

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Metadathon – Why MetaData Matters

ByMaggie Hays April 16, 2024June 3, 2025

Online payments powerhouse PayPal had a pretty common problem. Its teams couldn’t find the data they needed to do their work, either because it was siloed across separate environments, wasn’t properly documented, or lacked lineage and other essential metadata. So Vaidehi Sridhar, product manager at PayPal, came up with a clever solution: a hackathon—but for…

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Hack Your Way to Data Quality with a “Metadatathon”

ByJen Atherley March 19, 2024May 14, 2025

PayPal Product Manager Vaidehi Sridhar probably wouldn’t call herself a mastermind, but she did execute on a genius idea to improve data quality across PayPal’s sprawling ecosystem. Even better, Sridhar and her team laid the groundwork for PayPal to federate data governance for its decentralized teams—as well as automate many types of tedious governance tasks. The genius…

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Metadata’s Role in Sustainable, Cost-Effective AI Development

ByJohn Joyce March 18, 2024June 3, 2025

Hear that sound? It’s the sound a turntable makes when its stylus jumps the groove and skids across a record. It’s a sign the party has suddenly and irreversibly come to an end. Something like this may be happening with AI, as the best-laid plans of teams building AI solutions crash up against the operational…

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Acryl Cloud for ML and AI Practitioners

ByDataHub January 31, 2024June 4, 2025

Discover how Acryl Cloud empowers ML & AI teams with advanced data discovery, governance, and collaboration features for trustworthy AI solutions.

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Uncategorized | Metadata | Metadata Management

Making Data Relevant Again

BySwaroop Jagadish January 29, 2024June 3, 2025

Picture This You are a risk analyst with a financial services organization. You’re part of a team that creates products and services for small- and medium-sized business (SMB) customers. But … your team’s efforts are constrained by poor-quality data. You struggle to identify and integrate the data you need to analyze SMB market segmentation and…

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