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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

Concepts

Data Engineering

Author (1):

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

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Authors (1)

Gláucia Esppenchutz

Gláucia Esppenchutz is a data engineer with expertise in managing data pipelines and vast amounts of data using cloud and on-premises technologies. She worked in companies such as Globo, BMW Group, and Cloudera. Currently, she works at AiFi, specializing in the field of data operations for autonomous systems. She comes from the biomedical field and shifted her career ten years ago to chase the dream of working closely with technology and data. She is in constant contact with the open source community, mentoring people and helping to manage projects, and has collaborated with the Apache, PyLadies group, FreeCodeCamp, Udacity, and MentorColor communities.

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