Modern data talk

Learn how to build an effective metadata strategy with our comprehensive guide. Enhance your processes and unlock your data with CastorDoc.

Elevate Your Strategy with Bulletproof Data Governance

Explore how to build a data stack that fits your business needs. From analytics and automation to data products, learn what tools to pick for tangible ROI.

A Four-Part Documentation Framework for Boosting Your Organization's Productivity

The Symbiotic relationship between data governance and AI.

Democratize your data to unlock its potential

Top 10 data catalogs for the modern data stack

Uncover the top 10 metrics that every data team should track to optimize performance, decision-making, and unlock the full potential of their data.

and why is it on everyone's mind?

The emergence of a new role at a crossroads between business and engineering

Overview of mid-market data team organization models

We interviewed five data leaders and identified the soft skills that make up their success

Clean up your unused data assets and build an efficient data stack

How we use CastorDoc to supercharge our decentralization efforts

Build Context Around How Your Teams Use Data

AI powered documentation and knowledge pages in seconds.

See the 10,000ft view of your organizational knowledge.

The what behind CastorDoc's new identity

Demystifying data mesh domains

Crowdsourcing Documentation for Better Knowledge Management

How asset sprawl in large data teams makes onboarding, development, monitoring and self-serve harder

Make documentation accessible across your entire data stack with early access to new Sync Backs for Snowflake, BigQuery, Tableau, and Looker.

From chaos to clarity in the data warehouse

Data quality + data cataloging = ❤️

Leave orchestration to the engineers, and let the business feast on its metadata

A Comprehensive Guide to Data Mesh ROI and Business benefits.

Building reliable data products

Finding the perfect home for your documentation

Mastering the Art of Creating Impactful Data Documentation: A Comprehensive Guide

Democratizing data access with Castor

Three essential use cases for documentation

3 rules for successful data documentation

Navigating Privacy & Security when implementing data sharing

Unlock the power of data collaboration

Empowering data-driven decision making with a robust data catalog and reverse ETL framework

Learn how to turn data into actionable insights no matter where it comes from.

Data quality difficulties can be eliminated by uniform data standards. Our data standardization article explains everything you need to know.

More people, more data, more data catalogs

Data availability has grown as companies become data-driven. Discover how data cataloging can help.

How to protect your data while working remotely

Top 10 des plateformes de data gouvernance

Key steps to follow to secure success

A comprehensive guide: Learn about its key characteristics, how it transforms data and the steps to build an effective ETL Pipeline

Printify's data discovery journey

Trust is vague, use transparency instead.

Conseils en matière de conformité des données pour les professionnels de la donnée

Think capabilities, not tools

And how you can measure them

How much progress have we made?

Vestiaire collective's journey with data discovery

Et pourquoi ce n’est ni Python, ni SQL

The rise of the Data Experience

Save time, increase transparency, and provide high-quality data

A three-pillar framework for organizing your metadata

Talk Summary - Rent the Runway, Blossom, and Castor discuss data discovery.

BI tools evolution across decades

Explore the realm of data curation, a critical process in the age of big data. Our comprehensive guide delves into its definition, key steps, benefits, and real-world examples. Learn how data curation transforms raw data into high-quality information for decision-making, strategic planning, and machine learning.

The roles hidden behind the "Head of Data" title

And how to measure progress

A framework for computing data governance ROI

And how to approach measuring them

And how to measure them

Dive into the critical role of data catalogs in managing data access, ensuring compliance with regulations, and promoting proactive privacy management.

And how to start measuring them

Plus, how to go about measuring them

Justifying spend in a data team

A Complete Overview!

The complete checklist for your last weeks. Leave your job without leaving a mess.

Why we need to change the way people interact with data.

Talk summary - Castor, Transform, GoodData and MetriQL discuss all things metrics

Data governance is dead. Here’s how we can resurrect it.

A quick guide to this key component in the modern data stack

Data observability is the back-end, Data Discovery is the front-end

The example of Stuart

Data Warehouse Benchmark and Market Analysis

Get a clear picture of the data product manager’s role and responsibilities, tips to rocking the job, and more.

Bonus: there is a delightful data catalog template to get you started

and what is the difference with data catalogs or data discovery tools?

and why governance is the Gordian knot to all your problems

The business value isn't in your data, it lies in the transformation and modeling layer

Quels sont les avantages d’avoir un catalogue de données pour les entreprises ?

Isn't it the dream of any data person to have well-documented data? / No more expensive mistakes, nor "is payment is € or $?"

and why should you start using metadata in your business?

Benchmark of the best no-code tools and their use-cases

The Ultimate Guide: ETL Benchmark and Market Analysis

Why bad analysis, duplicate work, data debt or metric chaos won't happen anymore?

Top 5 SQL editors and how the market is changing

Find how to 10x your data team

Top 10 Data Observability tools

Top 5 reverse ETL tools for the modern data stack

BONUS - You'll find a RFI Template for Data Catalogs

The messier your data warehouse, the sooner you should implement a data catalog

and what are the next steps for your data team

and why 95% of BI dashboards are broken?

And why it is not Python, nor SQL

Data compliance advice for busy data people