Data Ingestion with Python Cookbook : A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process

Gláucia Esppenchutz

ISBN 10: 183763260X / ISBN 13: 9781837632602

Published by Packt Publishing, 2023

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Deploy your data ingestion pipeline, orchestrate, and monitor efficiently to prevent loss of data and qualityPurchase of the print or Kindle book includes a free PDF Elektronisches BuchKey Features:Harness best practices to create a Python and PySpark data ingestion pipelineSeamlessly automate and orchestrate your data pipelines using Apache AirflowBuild a monitoring framework by integrating the concept of data observability into your pipelinesBook Description:Data Ingestion with Python Cookbook offers a practical approach to designing and implementing data ingestion pipelines. It presents real-world examples with the most widely recognized open source tools on the market to answer commonly asked questions and overcome challenges.You'll be introduced to designing and working with or without data schemas, as well as creating monitored pipelines with Airflow and data observability principles, all while following industry best practices. The book also addresses challenges associated with reading different data sources and data formats. As you progress through the book, you'll gain a broader understanding of error logging best practices, troubleshooting techniques, data orchestration, monitoring, and storing logs for further consultation.By the end of the book, you'll have a fully automated set that enables you to start ingesting and monitoring your data pipeline effortlessly, facilitating seamless integration with subsequent stages of the ETL process.What You Will Learn:Implement data observability using monitoring toolsAutomate your data ingestion pipelineRead analytical and partitioned data, whether schema or non-schema basedDebug and prevent data loss through efficient data monitoring and loggingEstablish data access policies using a data governance frameworkConstruct a data orchestration framework to improve data qualityWho this book is for:This book is for data engineers and data enthusiasts seeking a comprehensive understanding of the data ingestion process using popular tools in the open source community. For more advanced learners, this book takes on the theoretical pillars of data governance while providing practical examples of real-world scenarios commonly encountered by data engineers. Seller Inventory # 9781837632602

Bibliographic Details

Title: Data Ingestion with Python Cookbook : A ...

Publisher: Packt Publishing

Publication Date: 2023

Binding: Taschenbuch

Condition: Neu

About this title

Synopsis:

Deploy your data ingestion pipeline, orchestrate, and monitor efficiently to prevent loss of data and quality

Key Features

• Harness best practices to create a Python and PySpark data ingestion pipeline
• Seamlessly automate and orchestrate your data pipelines using Apache Airflow
• Build a monitoring framework by integrating the concept of data observability into your pipelines

Book Description

Data Ingestion with Python Cookbook offers a practical approach to designing and implementing data ingestion pipelines. It presents real-world examples...

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