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You're reading from  Azure Databricks Cookbook

Product typeBook
Published inSep 2021
PublisherPackt
ISBN-139781789809718
Edition1st Edition
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Authors (2):
Phani Raj
Phani Raj
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Phani Raj

Phani Raj is an experienced data architect and a product manager having 15 years of experience working with customers on building data platforms on both on-prem and on cloud. Worked on designing and implementing large scale big data solutions for customers on different verticals. His passion for continuous learning and adapting to the dynamic nature of technology underscores his role as a trusted advisor in the realm of data architecture ,data science and product management.
Read more about Phani Raj

Vinod Jaiswal
Vinod Jaiswal
author image
Vinod Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.
Read more about Vinod Jaiswal

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Conventions used

There are a number of text conventions used throughout this book.

Code in text: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "--location -l: The Azure region where the workspace will be created."

A block of code is set as follows:

$appId="sdasdasdsdfsa7-xxx-xxx-xx-xx"
$appSecret="xxxxxxx~.xxxxxxjgx"
$tenantId="xxxxx-xxx-xx-xxxx-xxxcdxxxxxx"
$subscriptionName="Pay As You Go"
$resourceGroup = "CookbookRG

Any command-line input or output is written as follows:

az databricks workspace update

Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "We will select New Job Cluster here, select Edit option and provide the cluster configuration for the new cluster."

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Azure Databricks Cookbook
Published in: Sep 2021Publisher: PacktISBN-13: 9781789809718

Authors (2)

author image
Phani Raj

Phani Raj is an experienced data architect and a product manager having 15 years of experience working with customers on building data platforms on both on-prem and on cloud. Worked on designing and implementing large scale big data solutions for customers on different verticals. His passion for continuous learning and adapting to the dynamic nature of technology underscores his role as a trusted advisor in the realm of data architecture ,data science and product management.
Read more about Phani Raj

author image
Vinod Jaiswal

Vinod Jaiswal is an experienced data engineer, excels in transforming raw data into valuable insights. With over 8 years in Databricks, he designs and implements data pipelines, optimizes workflows, and crafts scalable solutions for intricate data challenges. Collaborating seamlessly with diverse teams, Vinod empowers them with tools and expertise to leverage data effectively. His dedication to staying updated on the latest data engineering trends ensures cutting-edge, robust solutions. Apart from technical prowess, Vinod is a proficient educator. Through presentations and mentoring, he shares his expertise, enabling others to harness the power of data within the Databricks ecosystem.
Read more about Vinod Jaiswal