You're reading from Data Engineering with Python Work with massive datasets to design data models and automate data pipelines using Python

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781839214189

Length 356 pages

Edition 1st Edition

Languages

Python

Concepts

Data Analysis

Author (1):

Paul Crickard

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Table of Contents (21) Chapters

Preface

1. Section 1: Building Data Pipelines – Extract Transform, and Load

2. Chapter 1: What is Data Engineering? FREE CHAPTER

3. Chapter 2: Building Our Data Engineering Infrastructure

4. Chapter 3: Reading and Writing Files

5. Chapter 4: Working with Databases

6. Chapter 5: Cleaning, Transforming, and Enriching Data

7. Chapter 6: Building a 311 Data Pipeline

8. Section 2:Deploying Data Pipelines in Production

9. Chapter 7: Features of a Production Pipeline

10. Chapter 8: Version Control with the NiFi Registry

11. Chapter 9: Monitoring Data Pipelines

12. Chapter 10: Deploying Data Pipelines

13. Chapter 11: Building a Production Data Pipeline

14. Section 3:Beyond Batch – Building Real-Time Data Pipelines

15. Chapter 12: Building a Kafka Cluster

16. Chapter 13: Streaming Data with Apache Kafka

17. Chapter 14: Data Processing with Apache Spark

18. Chapter 15: Real-Time Edge Data with MiNiFi, Kafka, and Spark

19. Other Books You May Enjoy

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Appendix

Inserting and extracting NoSQL database data in Python

Relational databases may be what you think of when you hear the term database, but there are several other types of databases, such as columnar, key-value, and time-series. In this section, you will learn how to work with Elasticsearch, which is a NoSQL database. NoSQL is a generic term referring to databases that do not store data in rows and columns. NoSQL databases often store their data as JSON documents and use a query language other than SQL. The next section will teach you how to load data into Elasticsearch.

Installing Elasticsearch

To install the elasticsearch library, you can use pip3, as shown:

pip3 install elasticsearch

Using pip will install the newest version, which, if you installed Elasticsearch according to the instructions in Chapter 2, Building Our Data Engineering Infrastructure, is what you will need. You can get the library for Elasticsearch versions 2, 5, 6, and 7. To verify the installation and...