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Data Engineering with Apache Spark, Delta Lake, and Lakehouse

You're reading from   Data Engineering with Apache Spark, Delta Lake, and Lakehouse Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

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Product type Paperback
Published in Oct 2021
Publisher Packt
ISBN-13 9781801077743
Length 480 pages
Edition 1st Edition
Languages
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Author (1):
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Manoj Kukreja Manoj Kukreja
Author Profile Icon Manoj Kukreja
Manoj Kukreja
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Modern Data Engineering and Tools
2. Chapter 1: The Story of Data Engineering and Analytics FREE CHAPTER 3. Chapter 2: Discovering Storage and Compute Data Lakes 4. Chapter 3: Data Engineering on Microsoft Azure 5. Section 2: Data Pipelines and Stages of Data Engineering
6. Chapter 4: Understanding Data Pipelines 7. Chapter 5: Data Collection Stage – The Bronze Layer 8. Chapter 6: Understanding Delta Lake 9. Chapter 7: Data Curation Stage – The Silver Layer 10. Chapter 8: Data Aggregation Stage – The Gold Layer 11. Section 3: Data Engineering Challenges and Effective Deployment Strategies
12. Chapter 9: Deploying and Monitoring Pipelines in Production 13. Chapter 10: Solving Data Engineering Challenges 14. Chapter 11: Infrastructure Provisioning 15. Chapter 12: Continuous Integration and Deployment (CI/CD) of Data Pipelines 16. Other Books You May Enjoy

Developing the master pipeline

To start the creation of the master pipeline, make sure you have the electroniz_batch_ingestion_pipeline, electroniz_curation_pipeline, and electroniz_aggregation_pipeline pipelines installed and in working condition in the Azure data factory:

Figure 9.3 – The Electroniz ingestion, curation, and aggregation pipelines

We will get started by performing the following steps:

  1. Using the Azure portal, navigate to Home > All Resources > trainingdatafactory100. Click on Open underneath Open Azure Data Factory Studio.
  2. Using the panel on the left-hand side, from the menu, click on Author. In the Factory Resources panel, click on the three dots to the right of Pipelines and choose New Pipeline.

    In the Properties panel, input the following:

    • Name: electroniz_master_pipeline
    • Description: This pipeline runs the ingestion, curation, and aggregation pipeline.

    Using the bottom panel, click on Parameters and add the following...

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