Modern data architectures with Python: a practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Key Features Develop modern data skills used in emerging technologies Learn pragmatic design methodologies such as Data Mesh and data lakehouses Gain a deeper understanding of data governance Purchase of the pri...

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Bibliographische Detailangaben
1. Verfasser: Lipp, Brian (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham ; Mumbai Packt Publishing [2023]
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Online-Zugang:DE-Aug4
DE-1050
DE-573
DE-898
DE-860
DE-91
DE-706
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Zusammenfassung:Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and Kafka Key Features Develop modern data skills used in emerging technologies Learn pragmatic design methodologies such as Data Mesh and data lakehouses Gain a deeper understanding of data governance Purchase of the print or Kindle book includes a free PDF eBook Book Description Modern Data Architectures with Python will teach you how to seamlessly incorporate your machine learning and data science work streams into your open data platforms. You'll learn how to take your data and create open lakehouses that work with any technology using tried-and-true techniques, including the medallion architecture and Delta Lake. Starting with the fundamentals, this book will help you build pipelines on Databricks, an open data platform, using SQL and Python.
Beschreibung:1 Online-Ressource (xx, 297 Seiten)

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