March 2022
Beginner to intermediate
206 pages
4h 21m
English
Content preview from Data Lakehouse in Action
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Preface
Digital transformation is a reality. All organizations, big or small, have to embrace this reality to be relevant in the future. Data is at the core of this, and data analytics is the catalyst for this transformation. Therefore, an agile, scalable, and robust data architecture for analytics is pivotal for forging data as a strategic asset.
However, very few organizations can successfully harness their data estate for analytics. Many of them grapple with obsolete enterprise data warehouse architectural patterns or have jumped onto the data lake bandwagon without a proper architectural framework. Also, the new trending term "Data Lakehouse" focuses on various vendors' product-centric views rather than an architectural paradigm. This book ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.