You're reading from Data Engineering with Scala and Spark Build streaming and batch pipelines that process massive amounts of data using Scala

Product type Paperback

Published in Jan 2024

Publisher Packt

ISBN-13 9781804612583

Length 300 pages

Edition 1st Edition

Languages

Scala

Concepts

Data Engineering

Authors (3):

Rupam Bhattacharjee

David Radford

Eric Tome

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1 – Introduction to Data Engineering, Scala, and an Environment Setup

2. Chapter 1: Scala Essentials for Data Engineers FREE CHAPTER

3. Chapter 2: Environment Setup

4. Part 2 – Data Ingestion, Transformation, Cleansing, and Profiling Using Scala and Spark

5. Chapter 3: An Introduction to Apache Spark and Its APIs – DataFrame, Dataset, and Spark SQL

6. Chapter 4: Working with Databases

7. Chapter 5: Object Stores and Data Lakes

8. Chapter 6: Understanding Data Transformation

9. Chapter 7: Data Profiling and Data Quality

10. Part 3 – Software Engineering Best Practices for Data Engineering in Scala

11. Chapter 8: Test-Driven Development, Code Health, and Maintainability

12. Chapter 9: CI/CD with GitHub

13. Part 4 – Productionalizing Data Engineering Pipelines – Orchestration and Tuning

14. Chapter 10: Data Pipeline Orchestration

15. Chapter 11: Performance Tuning

16. Part 5 – End-to-End Data Pipelines

17. Chapter 12: Building Batch Pipelines Using Spark and Scala

18. Chapter 13: Building Streaming Pipelines Using Spark and Scala

19. Index

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Argo Workflows is an open source orchestration tool for jobs running on Kubernetes. It is implemented as a Kubernetes custom resource definition (CRD). Each step in Argo Workflows runs as a container on a Kubernetes platform. In this section, we are going to take a look at the capabilities offered by Argo Workflows starting with installation on your local machine.

Installing Argo Workflows

For the purposes of this chapter, we will set up Argo locally. There are two steps you need to take before we can start looking at Argo:

Install minikube. Please refer to the steps outlined in https://minikube.sigs.k8s.io/docs/start/ to install minikube.
Install the kubectl CLI to interact with minikube by following the steps outlined in https://kubernetes.io/docs/tasks/tools/#kubectl.

Once you have minikube and kubectl installed, you can proceed with configuring two separate Argo components that we are going to use in this section: