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

Esppenchutz, Gl�ucia

ISBN 10: 183763260X / ISBN 13: 9781837632602

Edité par Packt Publishing 5/31/2023, 2023

Data Ingestion with Python Cookbook: A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process. N° de réf. du vendeur BBS-9781837632602

Synopsis :

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

Purchase of the print or Kindle book includes a free PDF eBook

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 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 tools
• Automate your data ingestion pipeline
• Read analytical and partitioned data, whether schema or non-schema based
• Debug and prevent data loss through efficient data monitoring and logging
• Establish data access policies using a data governance framework
• Construct a data orchestration framework to improve data quality

Who 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.

À propos de l?auteur:

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems.

She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.

Détails bibliographiques

Titre : Data Ingestion with Python Cookbook: A ...
Éditeur : Packt Publishing 5/31/2023
Date d'édition : 2023
Reliure : Paperback or Softback
Etat : New
Type de livre : Book