Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
- Wydawnictwo:
- Packt Publishing
- Ocena:
- Stron:
- 318
- Dostępne formaty:
-
PDFePub
Opis
książki
:
Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
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 notebooks 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.
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Szczegóły książki
- Tytuł oryginału:
- Modern Data Architectures with Python. A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python
- ISBN Ebooka:
- 978-18-010-7641-8, 9781801076418
- Data wydania ebooka :
-
2023-09-29
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- Rozmiar pliku Pdf:
- 4.6MB
- Rozmiar pliku ePub:
- 8.9MB
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