Preface

Welcome to Data Ingestion with Python Cookbook. I hope you are excited as me to enter the world of data engineering.

Data Ingestion with Python Cookbook is a practical guide that will empower you to design and implement efficient data ingestion pipelines. With real-world examples and renowned open-source tools, this book addresses your queries and hurdles head-on.

Beginning with designing pipelines, you’ll explore working with and without data schemas, constructing monitored workflows using Airflow, and embracing data observability principles while adhering to best practices. Tackling the challenges of reading diverse data sources and formats, you’ll gain a comprehensive understanding of all these.

Our journey continues with essential insights into error logging, identification, resolution, data orchestration, and effective monitoring. You’ll discover optimal approaches for storing logs, ensuring easy access and references for them in the future.

By the end of this book, you’ll possess a fully automated setup to initiate data ingestion and pipeline monitoring. This streamlined process will seamlessly integrate into the subsequent stages of the Extract, Transform, and Load (ETL) process, propelling your data integration capabilities to new heights. Get ready to embark on an enlightening and transformative data ingestion journey.