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Data Ingestion with Python Cookbook

You're reading from  Data Ingestion with Python Cookbook

Product type Book
Published in May 2023
Publisher Packt
ISBN-13 9781837632602
Pages 414 pages
Edition 1st Edition
Languages
Author (1):
Gláucia Esppenchutz Gláucia Esppenchutz
Profile icon Gláucia Esppenchutz

Table of Contents (17) Chapters

Preface Part 1: Fundamentals of Data Ingestion
Chapter 1: Introduction to Data Ingestion Chapter 2: Principals of Data Access – Accessing Your Data Chapter 3: Data Discovery – Understanding Our Data before Ingesting It Chapter 4: Reading CSV and JSON Files and Solving Problems Chapter 5: Ingesting Data from Structured and Unstructured Databases Chapter 6: Using PySpark with Defined and Non-Defined Schemas Chapter 7: Ingesting Analytical Data Part 2: Structuring the Ingestion Pipeline
Chapter 8: Designing Monitored Data Workflows Chapter 9: Putting Everything Together with Airflow Chapter 10: Logging and Monitoring Your Data Ingest in Airflow Chapter 11: Automating Your Data Ingestion Pipelines Chapter 12: Using Data Observability for Debugging, Error Handling, and Preventing Downtime Index Other Books You May Enjoy

Scheduling data replication

In the first chapter of this book, we covered what data replication is and why it’s important. We saw how vital this process is in the prevention of data loss and in promoting recovery from disasters.

Now, it is time to learn how to create an optimized schedule window to make data replication happen. In this recipe, we will create a diagram to help us decide the best moment to replicate our data.

Getting ready

This exercise does not require technical preparation. However, to make it closer to a real scenario, let’s imagine we need to decide the best way to ensure the data from a hospital is being adequately replicated.

We will have two pipelines: one holding patient information and another with financial information. The first pipeline collects information from a patient database and synthesizes it into readable reports used by the medical team. The second will feed an internal dashboard used by the hospital executives.

Due to...

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