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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

Setting up StatsD for monitoring

As introduced in Chapter 10, StatsD is an open source daemon that gathers and aggregates metrics about application behaviors. Due to its flexibility and lightweight, StatsD is used on several monitoring and observability tools, such as Grafana, Prometheus, and ElasticSearch, to visualize and analyze the collected metrics.

In this recipe, we will configure StatsD using a Docker image as the first step in building a monitoring pipeline. Here, StatsD will collect and aggregate Airflow information and make it available to Prometheus, our monitoring database, in the Setting up Prometheus for storing metrics recipe.

Getting ready

Refer to the Technical requirements section for this recipe since we will handle it with the same technology.

How to do it…

Here are the steps to perform this recipe:

  1. Let’s start by defining our Docker configurations for StatsD. These lines will be added under the services section inside the docker...
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