Land your data, and our AI does the rest. Every platform in the market makes you some version of that offer, and every version is true right up to the word “rest”. This book is about everything “the rest” assumes you already did.
That work is not exotic. It is agreeing what your business means, knowing what your sources actually hold, recording how the two map together, choosing what shape the integrated middle takes, and capturing enough of it to generate the layer instead of hand-typing it. None of that happens inside a data lakehouse, which is why no platform ships it.
The chapters run from the silver layer that became a rename pass, through the conceptual model and the recorded mapping that real data integration depends on, to six steps you can start on Monday with one subject area. It is not a platform comparison, not a modeling religion, and not a product manual: meaning before machinery, on whatever stack you already bought. The vendors are not hiding the gap either. The Databricks glossary gives matching, merging, conforming and cleansing a single sentence, and hands the rest of it back to you.
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