Sven Balnojan

Dr. Sven Balnojan is a data technologist and product person focused on helping the world extract more value from the exponentially growing amount of data. He’s passionate about all things data, machine learning, AI, business intelligence, and many related fields. His endeavors include managing internal data teams and the transitions from being a service-oriented team to a platform-oriented team, as well as getting his hands dirty as a data developer in the fields of machine learning, data engineering, and Data DevOps. Sven holds a PhD in mathematics with a thesis in the field of singularity theory. He is the author of an opinionated newsletter, “Three Data Point Thursday.” Additionally, he blogs at https://datacisions.com and appears in talks here and there over the internet.

books by Sven Balnojan

Getting Started with Data Mesh
  • August 2022
  • ISBN 9781633438668
  • 66 pages
Included with a Manning Online subscription

Getting Started with Data Mesh features two chapters from Manning’s Data Mesh in Action, by expert data professionals Jacek Majchrzak, Sven Balnojan, and Marian Siwiak. Inside, you’ll discover what the data mesh architecture is, and its key concepts and advantages. You’ll get guidance from the experts on how data mesh stacks up against other data architectures and how your organization will benefit. With this small ebook, get the big data mesh picture and discover if this revolutionary data architecture is for you.

Data Mesh in Action
  • December 2022
  • ISBN 9781633439979
  • 328 pages
Included with a Manning Online subscription
  • printed in black & white
  • Available translations: Russian

Data Mesh in Action teaches you pragmatic ways to decentralize your data and organize it into an effective data mesh. You’ll start by building a minimum viable data product, which you’ll expand into a self-service data platform, chapter-by-chapter. You’ll love the book’s unique “sliders” that adjust the mesh to meet your specific needs. You’ll also learn processes and leadership techniques that will change the way you and your colleagues think about data.