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Data Ingestion with Python Cookbook

Data Ingestion with Python Cookbook

By : Gláucia Esppenchutz
4.5 (4)
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Data Ingestion with Python Cookbook

Data Ingestion with Python Cookbook

4.5 (4)
By: Gláucia Esppenchutz

Overview of this book

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.
Table of Contents (17 chapters)
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1
Part 1: Fundamentals of Data Ingestion
9
Part 2: Structuring the Ingestion Pipeline

Data Discovery – Understanding Our Data before Ingesting It

As you may already have noticed, data ingestion is not just retrieving data from a source and inserting it in another place. It involves understanding some business concepts, secure access to the data, and how to store it, and now it is essential to discover our data.

Data discovery is the process of understanding our data’s patterns and behaviors, ensuring the whole data pipeline will be successful. In this process, we will understand how our data is modeled and used, so we can set up and plan our ingestion using the best fit.

In this chapter, you will learn about the following:

  • Documenting the data discovery process
  • Configuring OpenMetadata
  • Connecting OpenMetadata to our database

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