37,95 €
37,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
19 °P sammeln
37,95 €
37,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
19 °P sammeln
Als Download kaufen
37,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
19 °P sammeln
Jetzt verschenken
37,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
19 °P sammeln
  • Format: PDF

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services.Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a…mehr

Produktbeschreibung
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services.Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly.With this book, you will:Design a streaming data mesh using KafkaLearn how to identify a domainBuild your first data product using self-service toolsApply data governance to the data products you createLearn the differences between synchronous and asynchronous data servicesImplement self-services that support decentralized data

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Hubert Dulay is a systems & data engineer at Confluent. A veteran engineer with over 20 years of experience in big & fast data and MLOps, Hubert has consulted for many financial institutions, healthcare organizations, and telecommunications companies, providing simple solutions that solved many data problems.