Start your reading today so you can be part of our discussions!
The Data Mesh Book Club, brought to you by AWS and Starburst, is here to help you explore the best selling guides on Data Mesh and data engineering best practices.
The first fifty registrations will receive a free copy* of Max Schultze & Dr. Arif Wider’s Data Mesh in Practice and Joe Reis & Matt Housley’s Fundamentals of Data Engineering books. Read them cover-to-cover for a practical understanding of the Data Mesh concepts, presented from the Data Engineers perspective.
Some of this series highlights:
Then, join our experts, the authors, and your peers to discuss in our five-part series. Schedule below.
And that’s just the beginning…
Catch our series on Zhamak Dehghani’s Data Mesh: Delivering Data-Driven Value at Scale on-demand, share, comment, and steer the conversation by joining the Data Mesh Book Club LinkedIn Group!
*We are giving away fifty copies of each book to the first fifty registrations. Keep in mind that we don’t ship to PO boxes and we can only send books to mainland US, United Kingdom, Ireland, Germany, Austria, France, Spain, Portugal, Italy, Belgium, The Netherlands, Sweden, and Norway. We will contact you by email to confirm your shipping address.
Dr. Arif Wider, co-writer of Data Mesh in Practice, Adrian Estala and Andy Mott dive into Max’s and Arif’s book to review their experience in implementing Data Mesh in organizations. In this first follow-up to season one of the Data Mesh Book Club series, we will discuss our own experiences and underscore some of the most important ideas presented in the Data Mesh in Practice book.
Let’s kick off the discussion by reviewing Data Engineering Fundamentals. For anyone new to Data Engineering, this is a must watch episode. We will review the book’s definition of data engineering and discuss a high-level overview of the lifecycle, the data architecture, and the supporting technologies. If you joined our original Data Mesh book club, you have a foundational understanding of Data Mesh. This session will give you a foundational understanding of Data Engineering, before we start to describe the synergies in Part 2.
In this episode, we tackle the book’s in-depth description of the Data Engineering Lifecycle. The chapters in Part 2 cover source systems, storage, ingestion, transformation and serving data. We will take each topic one at a time and discuss how each step in the lifecycle aligns or differs from our core Data Mesh design principles. Spoiler alert, there are some incredible ideas and synergies that you can take to improve your Data Mesh design.
Joe Reis, co-writer of the Fundamentals of data engineering, joins Adrian Estala and Andy Mott in this final installment of the Fundamentals of Data Engineering discussion, we take a step back to review the security and privacy aspects. These design elements are very important to any Data Mesh design and we will discuss the key takeaways. To close up our review of this fantastic book, we will review the author’s description of the future of Data Engineering and tie this into the future of Data Mesh.
We have a surprise in store for you! Keep an eye out for an unmissable episode of the Data Mesh Book club, bringing all of our learnings together.
Lead Solution Architect, Data Mesh
Andy is the EMEA Head of Partner Solutions Architecture and Data Mesh Lead at Starburst. Andy is supporting the rapid growth of technology partners across Europe and the Middle East, working with the likes of Data Reply, AWS, Google Cloud, Red Hat, and Thoughtspot.
With over 20 years in analytics and data-focused roles, Andy’s specific focus is considering how an organisation’s use of analytics, analytical culture and analytical processes can be optimised through technologies such as self-service data tools, cloud, and streaming analytics.
VP, Data Mesh Consulting Services
With a background in leading Digital and IT Portfolio Transformations, Adrian understands the value of creating executive frameworks that focus on material business outcomes. Previously, Adrian was Chief Data Officer at Shell. Prior to that, he led the development of several IT Strategic Consulting Services at KPMG.
Skilled with getting the most out of data-driven investments, Adrian is a trusted adviser to navigating complex data environments and integrating the Data Mesh vision on your terms. His contagious passion for learning and innovation creates an engaging discussion with executives who are on their own digital transformation journey.
Professor of Software Engineering & Technology Consultant
"I am a full professor of software engineering at HTW Berlin and a fellow technology consultant (part-time) with ThoughtWorks Germany, where I served as Head of Data & AI before moving back to academia.
As a vital part of research, teaching, and consulting, I am passionate about distilling and distributing great ideas and concepts that emerge in the software engineering community.
I am a frequent speaker at conferences and I still love to bring together people with diverse areas of expertise such as data scientists and developers."
co-founder & CEO of Ternary Data
Joe Reis is a "recovering data scientist" and the co-founder & CEO of Ternary Data. He's a business-minded data nerd who's worked in the data industry for 20 years, with responsibilities ranging from statistical modeling, forecasting, machine learning, data engineering, data architecture, and almost everything else in between. He hosts the popular data show, The Monday Morning Data Chat, interviews the top professionals in data on The Data Nerd Herd podcast, and runs several meetups, including The Utah Data Engineering Meetup and SLC Python. Joe also teaches at the University of Utah and is the co-author of the Fundamentals of Data Engineering. When he's not busy running a company, teaching, or creating content, Joe often finds himself rock climbing or trail running in the mountains around Salt Lake City, Utah.
Up to $500 in usage credits included