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

Product type Paperback

Published in May 2023

Publisher Packt

ISBN-13 9781837632602

Length 414 pages

Edition 1st Edition

Languages

Python

Tools

Apache Airflow

Concepts

Data Engineering

Author (1):

Gláucia Esppenchutz

View More author details

Table of Contents (17) Chapters

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

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Applying reverse ETL

As the name suggests, reverse ETL takes data from a data warehouse and inserts it into a business application such as HubSpot or Salesforce. The reason behind this is to make data more operational and use business tools to bring more insights to data that is already in a format ready for analysis or analytical format.

This recipe will teach us how to architect a reverse ETL pipeline and about the commonly used tools.

Getting ready

There are no technical requirements for this recipe. However, it is encouraged to use a whiteboard or a notepad to take notes.

Here, we will work with a scenario where we are ingesting data from an e-learning platform. Imagine we received a request from the marketing department to better understand user actions on the platform using the Salesforce system.

The objective here will be to create a diagram showing the data flow process from a source of data to the Salesforce platform.