The Data Warrior

Changing the world, one data model at a time. How can I help you?

10 Jan 2023

Panel Discussion: Data Modeling in a Data Mesh World

Happy New Year y’all!

Last month I had the pleasure of chatting with two of my data modeling pals about how to think about data modeling in a #DataMesh architecture. The recording was hosted by the Data Mesh Learning Community in partnership with Data Mesh Radio.

Juha Korpela (Chief Product Officer at Ellie Technologies) facilitated this panel with Veronika Durgin (Head of Data at Saks) and myself (The Data Warrior). Watch (or listen) to learn why Veronika and I consider Data Vault to be the best choice available right now, why only focusing on the technical aspects of data modeling instead of the business will lead you astray, how to build in iterations, change management for data modeling, and much more!

Watch the video replay here: Panel: Data Modeling in Data Mesh

If you want to just listen, check out the podcast audio, which has some nice notes from Scott Hirleman from the Data Mesh Learning Community.

Enjoy!

Kent

The Data Warrior

Posted in Data Modeling, thought leadership and tagged , , , , | Leave a comment
16 Dec 2022

The New Modern Data Stack

Hey gang – sorry for the last minute update but I will be going LIVE early next Monday December 19th for an exciting event hosted by Datacated.

Join me, along with Vinay Samuel, Founder & CEO of Zetaris as we talk about the NEW modern data stack. We will be discussing:

  • The new way for data consumption & connection
  • Methods for quicker data project execution
  • The engine of engines & architectural optionality for data integration
  • The future of data in 2023

We will also take questions from the live audience!

This is an event you won’t want to miss!

Register today at: https://hubs.ly/Q01vHw4c0 

See you there!

Kent

The Data Warrior

Posted in #cloud, Big Data, Data Warehouse, thought leadership and tagged , , , , , , | Leave a comment
08 Dec 2022

The Role of DataOps in a Data Mesh Architecture

Hot off the press – a new post discussing two of today’s hottest topics – #DataMesh and #DataOps.

Data Mesh is a decentralized architecture that organizes data by specific business domains and teams, leveraging a self-service approach. It’s designed to provide greater ownership and responsibility to Data Product teams and, it is hoped, more effective outputs in a timely manner. 

Data mesh is founded on four pillars: 

  • Empowered domain ownership – letting the experts who know the data best do their jobs. 
  • Cross organizational transport – enabling consumption through data products. 
  • Self-service analytical platform – reducing costs, improving agility. 
  • Federated governance – the ‘glue’ that holds the process together, enabling interoperability and compliance. 

Is DataOps simply an enabler for more sophisticated design patterns like Data Mesh?  If we carry on with DevOps thinking – considering how the involvement of end users in a product lifecycle went from passive to truly active, one starts to see that it’s more than that. 

Read the rest of the post here – The Role of DataOps in a Data Mesh Architecture

Happy reading.

Kent

The Data Warrior

Posted in Big Data, thought leadership and tagged , , , , | Leave a comment
18 Nov 2022

Data Vault and Data Governance, Pt. 2

Hey #DataVault fans! Here is another post that just came out about DV and governance – how are they related?

In part two of this blog series, we sit down with Kent Graziano and Cindi Meyersohn to dig a bit deeper on data governance and its relationship to data quality.

Cindi: Kent, we’ve already talked about data governance as it relates to security, now what about data quality?

Kent: It’s important to talk about the key aspects and benefits of data governance found in improved data quality, because if people can’t trust the data, then they’re not going to use the data.  No matter how sophisticated you get in loading your data, moving your data, transforming your data, displaying your data, if people don’t trust the quality of that data, then they’re not going to use it. 

The Data Vault architecture and methodology, above and beyond modeling, includes data quality in the approach, specifically related to TQM, which is vectorized total quality management, along with several other frameworks.  Particularly in Data Vault, you embrace the idea of having a continuous feedback loop on the data to the sources as part of the approach.  The inclusion of a continuous feedback loop should be a part of any planning and design of a Data Vault.

Check out the rest of the conversation here: Data Vault and Data Governance, Pt. 2

Enjoy!

Kent

The Data Warrior

Posted in Data Vault and tagged , , , , , | Leave a comment
16 Nov 2022

The Data Warrior Way – DataOps: Past, Present, and Future

Heads up gang – I will be doing a webinar on #TrueDataOps on Wednesday, Nov 30th!

4 pm UTC – 10 am CDT, 11 am ET, 4 pm London, 5 pm CET

During this 60-minute live webinar, I will delve deeper into this topic to share my thoughts on DataOps. What is it? How is it different from DevOps? Where is it headed?

Join me to learn about the seven key pillars of #TrueDataOps:

  • ELT and the spirit of ELT
  • Continuous Integration / Continuous Deployment (CI/CD)
  • Code design and maintainability
  • Environment management
  • Governance and change control
  • Automated testing and monitoring
  • Collaboration and self-service

Come learn what DataOps REALLY IS, and how it’s guiding philosophy can help you deliver data projects faster and better.​

Sign up today to reserve you space! (Yes – it will be recorded!)

The Data Warrior Way – DataOps: Past, Present, and Future | WhereScape

See you there!

Kent

The Data Warrior

Posted in Big Data, Data Warehouse, thought leadership and tagged , , , | Leave a comment

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