Metadata is information that travels with the raw data that provides context, provenance, security, authorship, controls, and indexing. 

The number of ways that you can expand the use of data is controlled by adding metadata. It creates a change in how we look at and manage data. Instead of creating control systems that contain the data, it’s actually packaged the control infrastructure, or the data control plane, as part of the data so that all of the systems can participate in it. 

We also talk about data mesh a lot in that context.

Transcript: https://otter.ai/u/bho2SHu0N1YfECix6X8qNvKTlB4
Image: https://www.pexels.com/photo/pensive-ethnic-man-listening-to-answer-in-paper-cup-phone-3760607/

Metadata For A Data Control Plane

A zone-based data refinery creates an agile, adaptable data environment that supports new and unanticipated business requirements quickly. It turns a monolithic data warehouse into a flexible data environment that gracefully adapts to new and unanticipated business requirements while maximizing reuse and standards.
Published at: https://www.eckerson.com/articles/how-zone-based-data-processing-turns-your-monolithic-data-warehouse-into-a-flexible-modern-data-architecture

How Zone-based Data Processing Turns Your Monolithic DW into a Modern Data Architecture - Audio Blog

What actually is used to describe the provenance and information that comes with our data? Today we discuss metadata and the governance, security, hint, domains, date that accompany data in ways that in some senses are more important than data. 

How can we move, change and transform data? We had a really robust conversation about how access to data is so critical in actually understanding how data is used.

This is a topic we struggle with: figuring out the naming, how things work, and the context. More than anything else, the context makes things challenging. As you listen to this, think through how challenging it is to define data, data governance, and using data effectively.

Transcript: https://otter.ai/u/VE2u_jTwG_h4z9ewfI0bya7kvmg?utm_source=copy_url
Image: https://www.pexels.com/photo/cheerful-black-teacher-with-diverse-schoolkids-5905918/

Domains And Access For Metadata

Big Data Synthesis est un podcast sur le Big Data par des gens du Big Data pour des gens du Big Data.
L'épisode 1 de cette deuxième saison s'intéresse à la manière de donner de la valeur à la donnée et de mon point de vue c'est une déclaration d'amour aux métiers.
N'hésitez pas à me contacter sur benoit.petitpas@saphir-data.fr
Big Data synthesis est un podcast Saphir-data

Big Data Synthesis [S02E01] - La Data Ne Vaut Rien

Many organizations abandoned data modeling as they embraced big data and NoSQL. Now they find that data modeling continues to be important, perhaps more important today than ever before. With a fresh look you’ll see that today’s data modeling is different from past practices – much more than physical design for relational data.
Published at:
https://www.eckerson.com/articles/a-fresh-look-at-data-modeling-part-1-the-what-and-why-of-data-modeling

A Fresh Look at Data Modeling Part 1: The What and Why of Data Modeling - Audio Blog

Listen to data and analytics leaders share the secrets of their success. Wayne Eckerson, long-time global thought leader interviews guests who run data and analytics programs at Fortune 2000 organizations around the world. Tune in to stay abreast of the latest technologies, techniques, and trends in our fast-paced industry.

An excellent source for industry thought leadership in Edge Computing, Cloud Computing, DevOps, Open Source base on discussions at.the2030.cloud

Big Data architecte indépendant. Je travaille dans le Big Data depuis 2012.

New tracks tagged #DataLake