Book Image

Distributed Data Systems with Azure Databricks

By : Alan Bernardo Palacio
Book Image

Distributed Data Systems with Azure Databricks

By: Alan Bernardo Palacio

Overview of this book

Microsoft Azure Databricks helps you to harness the power of distributed computing and apply it to create robust data pipelines, along with training and deploying machine learning and deep learning models. Databricks' advanced features enable developers to process, transform, and explore data. Distributed Data Systems with Azure Databricks will help you to put your knowledge of Databricks to work to create big data pipelines. The book provides a hands-on approach to implementing Azure Databricks and its associated methodologies that will make you productive in no time. Complete with detailed explanations of essential concepts, practical examples, and self-assessment questions, you’ll begin with a quick introduction to Databricks core functionalities, before performing distributed model training and inference using TensorFlow and Spark MLlib. As you advance, you’ll explore MLflow Model Serving on Azure Databricks and implement distributed training pipelines using HorovodRunner in Databricks. Finally, you’ll discover how to transform, use, and obtain insights from massive amounts of data to train predictive models and create entire fully working data pipelines. By the end of this MS Azure book, you’ll have gained a solid understanding of how to work with Databricks to create and manage an entire big data pipeline.
Table of Contents (17 chapters)
Section 1: Introducing Databricks
Section 2: Data Pipelines with Databricks
Section 3: Machine and Deep Learning with Databricks

Examining Azure Databricks authentication

In Azure Databricks, authentication is effected through our Azure AD account, which, in some cases, can be linked to our Microsoft account. Subscriptions such as Premium allow us to manage access to our assets through access control in a more detailed manner.

Access control

If we share the URL of our workspace with a user to collaborate, first we must grant access to that user. To do this, we could either grant them Owner or Contributor roles of the asset we want to share or do this in Admin Console:

  1. You can access Admin Console by clicking on the resource name icon in the top-right corner:

    Figure 2.15 – Admin Console

  2. After that, users can be added by clicking on the Add User button and then selecting the role you would like that user to have. You can create internal groups and apply a more detailed control over folder and workspace assets:

Figure 2.16 – Adding a user

Users can...