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In den WarenkorbZustand: New.
Verlag: Packt Publishing 9/29/2023, 2023
ISBN 10: 1801070490 ISBN 13: 9781801070492
Sprache: Englisch
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In den WarenkorbPaperback or Softback. Zustand: New. Modern Data Architectures with Python: A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python 1.21. Book.
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Anbieter: Books Puddle, New York, NY, USA
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In den WarenkorbZustand: New. pp. 375.
Anbieter: Zoom Books East, Glendale Heights, IL, USA
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In den WarenkorbZustand: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
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In den WarenkorbPAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 526.
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Build scalable and reliable data ecosystems using Data Mesh, Databricks Spark, and KafkaKey Features:Develop modern data skills used in emerging technologiesLearn pragmatic design methodologies such as Data Mesh and data lakehousesGain a deeper understanding of data governancePurchase of the print or Kindle book includes a free PDF Elektronisches BuchBook 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. You'll gain an understanding of not Elektronisches Buch and applications written in Python using standard software engineering tools such as git, pre-commit, Jenkins, and Github. Next, you'll delve into streaming and batch-based data processing using Apache Spark and Confluent Kafka. As you advance, you'll learn how to deploy your resources using infrastructure as code and how to automate your workflows and code development. Since any data platform's ability to handle and work with AI and ML is a vital component, you'll also explore the basics of ML and how to work with modern MLOps tooling. Finally, you'll get hands-on experience with Apache Spark, one of the key data technologies in today's market.By the end of this book, you'll have amassed a wealth of practical and theoretical knowledge to build, manage, orchestrate, and architect your data ecosystems.What You Will Learn:Understand data patterns including delta architectureDiscover how to increase performance with Spark internalsFind out how to design critical data diagramsExplore MLOps with tools such as AutoML and MLflowGet to grips with building data products in a data meshDiscover data governance and build confidence in your dataIntroduce data visualizations and dashboards into your data practiceWho this book is for:This book is for developers, analytics engineers, and managers looking to further develop a data ecosystem within their organization. While they're not prerequisites, basic knowledge of Python and prior experience with data will help you to read and follow along with the examples.
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
EUR 87,06
Währung umrechnenAnzahl: 4 verfügbar
In den WarenkorbZustand: New. PRINT ON DEMAND pp. 375.
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
EUR 84,48
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In den WarenkorbZustand: New. Print on Demand pp. 375.