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Modern Data Architectures with Python

You're reading from  Modern Data Architectures with Python

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781801070492
Pages 318 pages
Edition 1st Edition
Languages
Author (1):
Brian Lipp Brian Lipp
Profile icon Brian Lipp

Table of Contents (19) Chapters

Preface 1. Part 1:Fundamental Data Knowledge
2. Chapter 1: Modern Data Processing Architecture 3. Chapter 2: Understanding Data Analytics 4. Part 2: Data Engineering Toolset
5. Chapter 3: Apache Spark Deep Dive 6. Chapter 4: Batch and Stream Data Processing Using PySpark 7. Chapter 5: Streaming Data with Kafka 8. Part 3:Modernizing the Data Platform
9. Chapter 6: MLOps 10. Chapter 7: Data and Information Visualization 11. Chapter 8: Integrating Continous Integration into Your Workflow 12. Chapter 9: Orchestrating Your Data Workflows 13. Part 4:Hands-on Project
14. Chapter 10: Data Governance 15. Chapter 11: Building out the Groundwork 16. Chapter 12: Completing Our Project 17. Index 18. Other Books You May Enjoy

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

access

setting up, from Databricks to DBT Cloud 159-161

Adaptive Query Engine (AQE) 50

alerts 152

analytics layer 9

Apache Spark 48

architecture 48

broadcasting 51

caching 50

components 48, 49

interacting, with Kafka 106, 107

job creation pipeline 51, 52

partitions, shuffling 49

partitions, working with 49

practical exercises 62-65

working environment, setting up 45

atomicity, consistency, isolation, duration (ACID) 4

Autoloader 199

streaming DataFrame, creating 199

Autoloader, ways to detect new files

directory listing mode 200

file notification mode 200

AutoML 124

reference link 124

Avro format 7

AWS account 68

setting up 88, 217

B

bagging 123

bar charts 140-142

basic client setup

for REST endpoint...

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Published in: Sep 2023 Publisher: Packt ISBN-13: 9781801070492
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