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Data Ingestion with Python Cookbook

You're reading from   Data Ingestion with Python Cookbook A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process

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Product type Paperback
Published in May 2023
Publisher Packt
ISBN-13 9781837632602
Length 414 pages
Edition 1st Edition
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Author (1):
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Gláucia Esppenchutz Gláucia Esppenchutz
Author Profile Icon Gláucia Esppenchutz
Gláucia Esppenchutz
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Toc

Table of Contents (17) Chapters Close

Preface 1. Part 1: Fundamentals of Data Ingestion
2. Chapter 1: Introduction to Data Ingestion FREE CHAPTER 3. Chapter 2: Principals of Data Access – Accessing Your Data 4. Chapter 3: Data Discovery – Understanding Our Data before Ingesting It 5. Chapter 4: Reading CSV and JSON Files and Solving Problems 6. Chapter 5: Ingesting Data from Structured and Unstructured Databases 7. Chapter 6: Using PySpark with Defined and Non-Defined Schemas 8. Chapter 7: Ingesting Analytical Data 9. Part 2: Structuring the Ingestion Pipeline
10. Chapter 8: Designing Monitored Data Workflows 11. Chapter 9: Putting Everything Together with Airflow 12. Chapter 10: Logging and Monitoring Your Data Ingest in Airflow 13. Chapter 11: Automating Your Data Ingestion Pipelines 14. Chapter 12: Using Data Observability for Debugging, Error Handling, and Preventing Downtime 15. Index 16. Other Books You May Enjoy

Selecting analytical data for reverse ETL

Now that we know what reverse ETL is, the next step is to understand which types of analytical data are a good use case to load into a Salesforce application, for example.

This recipe continues from the previous one, Applying reverse ETL, intending to illustrate a real scenario of deciding what data will be transferred into a Salesforce application.

Getting ready

This recipe has no technical requirements, but you can use a whiteboard or a notepad for annotations.

Still using the example of a scenario where the marketing department requested data to be loaded into their Salesforce account, we will now go a little deeper to see what information is relevant for their analysis.

We received a request from the marketing team to understand the user journey in the e-learning platform. They want to understand which courses are watched most and whether some need improvement. Currently, they don’t know what information we have in...

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