Esppenchutz G. Data Ingestion with Python Cookbook. A practical guide...2023 torrent

Textbook in PDF format

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.
Introduction to Data Ingestion
Principals of Data Access – Accessing your Data
Data Discovery – Understanding Our Data Before Ingesting It
Reading CSV and JSON Files and Solving Problems
Ingesting Data from Structured and Unstructured Databases
Using PySpark with Defined and Non-Defined Schemas
Ingesting Analytical Data
Designing Monitored Data Workflows
Putting Everything Together with Airflow
Logging and Monitoring Your Data Ingest in Airflow
Automating Your Data Ingestion Pipelines
Using Data Observability for Debugging, Error Handling, and Preventing Downtime