Data Mesh Design: A Practical Pipeline Design Guide for Analytics, Data Science and Machine Learning - Paperback
by Bruno Freitag (Author)
Design and implement a data lakehouse using technology-driven simplifications and generalizations.
The approach you will learn enables consolidating even incoherent data from multiple source systems across complex enterprise environments. The precise business question does not need to be known in advance and can even change over time. The approach lends itself well to federated, cooperating data mesh nodes. The individual components, called mini-marts, are like the "data part" of a data quantum and are interoperable. We describe data model blueprints to generalize dimensions with synonyms and facts at different granularities. Includes code examples using complex hierarchies as they exist in heterogenous real-world go-to-market organizations.
Made with care and unconditionally loved by our customers, this signature bestseller exceeds all expectations.
Made with care and unconditionally loved by our customers, this signature bestseller exceeds all expectations.
At the heart of every product lies a unique story, driven by our passion for quality and innovation. Each item enhances your everyday life and sparks joy.