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Distributed Data Systems with Azure Databricks

You're reading from   Distributed Data Systems with Azure Databricks Create, deploy, and manage enterprise data pipelines

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Product type Paperback
Published in May 2021
Publisher Packt
ISBN-13 9781838647216
Length 414 pages
Edition 1st Edition
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Author (1):
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Alan Bernardo Palacio Alan Bernardo Palacio
Author Profile Icon Alan Bernardo Palacio
Alan Bernardo Palacio
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Introducing Databricks
2. Chapter 1: Introduction to Azure Databricks FREE CHAPTER 3. Chapter 2: Creating an Azure Databricks Workspace 4. Section 2: Data Pipelines with Databricks
5. Chapter 3: Creating ETL Operations with Azure Databricks 6. Chapter 4: Delta Lake with Azure Databricks 7. Chapter 5: Introducing Delta Engine 8. Chapter 6: Introducing Structured Streaming 9. Section 3: Machine and Deep Learning with Databricks
10. Chapter 7: Using Python Libraries in Azure Databricks 11. Chapter 8: Databricks Runtime for Machine Learning 12. Chapter 9: Databricks Runtime for Deep Learning 13. Chapter 10: Model Tracking and Tuning in Azure Databricks 14. Chapter 11: Managing and Serving Models with MLflow and MLeap 15. Chapter 12: Distributed Deep Learning in Azure Databricks 16. Other Books You May Enjoy

Ingesting data using Delta Lake

Data can be ingested into Delta Lake in several ways. Azure Databricks offers several integrations with Partners, which provide data sources that are loaded as Delta tables. We can copy a file directly into a table, use AutoLoader, or create a new streaming table. Let's take a deeper look at this.

Partner integrations

Azure Databricks allows us to connect to different partners that provide data sources. These are easy to implement and provide scalable ingestion.

We can view the options that we have for ingesting data from Partner Integrations when creating a new table in the UI, as shown in the following screenshot:

Figure 4.1 – Ingesting data from Partner Integrations

Some of these integrations, such as Qlink, allow you to get data from multiple data sources such as Oracle, Microsoft SQL Server, and SAP and load them into Delta Lake. Of course, these integrations require you to have a subscription to...

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