Configuring and Managing Workspaces with Databricks Service from Pluralsight

Managing Databricks workspaces and their assets correctly can help your organization get the most out of this big data platform. This course covers the options available to accomplish this while keeping things secure and controlling costs.

Databricks workspaces serve as the container for all your Databricks assets, and managing them well is critical to ensuring you and your users get the best out of this big data technology. In this course, Configuring and Managing Workspaces with Databricks Service, you'll learn different aspects around workspace management, from user administration and security to cost analysis. First, you'll discover how access to workspaces can be regulated and how users can be granted admin privileges on a workspace. Then, you'll explore tracking and managing the costs associated with Databricks on the Azure cloud. Finally, you'll learn how Databricks assets and features can be secured by looking into the different levels of permissions which can be applied to notebooks as well as the clusters they run on. Once you complete this course, you'll have a big-picture view of how Databricks workspaces can be set up and managed to ensure they are used in an optimal manner, in terms of security as well as costs.

What's inside

Syllabus

Course Overview

Setting Up Administration on Azure Databricks

Managing Billing for an Azure Databricks Workspace

Configuring Security on Azure Databricks

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds on foundational skills and knowledge in Azure Databricks, which is a popular tool in the tech industry

Taught by Kishan Iyer, who is a recognized expert in Databricks and an accomplished instructor with high ratings

Covers key aspects of Databricks workspace management, security, and cost optimization, which are essential skills for data engineers and data scientists

Provides practical guidance on user administration, security configuration, and cost analysis, which are important for enhancing team collaboration and controlling costs

Suitable for experienced data professionals, such as data engineers, data scientists, and data analysts, who are looking to enhance their skills in Databricks workspace management

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Configuring and Managing Workspaces with Databricks Service with these activities:

Review basic principles of big data technologies

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Review foundational principles of big data to ensure you have a solid understanding before starting the course.

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Revisit concepts of data lakes and data warehousing
Refresh your understanding of distributed computing and parallel processing
Review data management and governance techniques

Review Azure Cost Management

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Review the basics of Azure Cost Management to prepare for managing costs associated with Databricks on Azure.

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Read the Azure Cost Management documentation.
Review your past Azure bills.

Follow a Tutorial on Azure Cost Optimization

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Follow a hands-on tutorial on Azure Cost Optimization to gain practical experience in managing costs associated with Databricks on Azure.

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Find a tutorial on Azure Cost Optimization.
Follow the steps in the tutorial.

Two other activities

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Practice User Administration in Databricks

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Practice managing users and their permissions in Databricks workspaces.

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Create a new user in a Databricks workspace.
Assign permissions to the new user.
Revoke permissions from the new user.

Practice Configuring Security in Databricks

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Practice configuring security settings for Databricks workspaces, including network access control and data encryption.

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Configure network access control for a Databricks workspace.
Configure data encryption for a Databricks workspace.
Configure single sign-on for a Databricks workspace.

Career center

Learners who complete Configuring and Managing Workspaces with Databricks Service will develop knowledge and skills that may be useful to these careers:

Data Platform Architect

Data Platform Architects are responsible for designing and implementing data platforms. They work with stakeholders to identify business needs and to design and implement data platforms that meet those needs. This course may be helpful for Data Platform Architects who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for building and managing data platforms.

See salaries and explore the career path for Data Platform Architect

Data Governance Analyst

Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. They work with stakeholders to ensure that data is used in a consistent and ethical manner. This course may be helpful for Data Governance Analysts who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for storing and processing sensitive data.

See salaries and explore the career path for Data Governance Analyst

Big Data Engineer

Big Data Engineers are responsible for building and maintaining data pipelines for collecting, processing, and storing large amounts of data. They work with data scientists and other stakeholders to design and implement data solutions that meet the needs of the business. This course may be helpful for Big Data Engineers who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for building and managing big data pipelines.

See salaries and explore the career path for Big Data Engineer

Data Security Analyst

Data Security Analysts are responsible for protecting organizations from data breaches. They work with stakeholders to identify and mitigate data security risks and to ensure that data is secure from unauthorized access, use, or disclosure. This course may be helpful for Data Security Analysts who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for storing and processing sensitive data.

See salaries and explore the career path for Data Security Analyst

Data Privacy Analyst

Data Privacy Analysts are responsible for protecting organizations from privacy breaches. They work with stakeholders to identify and mitigate privacy risks and to ensure that data is used in a compliant manner. This course may be helpful for Data Privacy Analysts who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for storing and processing sensitive data.

See salaries and explore the career path for Data Privacy Analyst

Data Protection Analyst

Data Protection Analysts are responsible for protecting organizations from data breaches. They work with stakeholders to identify and mitigate data protection risks and to ensure that data is protected from unauthorized access, use, or disclosure. This course may be helpful for Data Protection Analysts who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for storing and processing sensitive data.

See salaries and explore the career path for Data Protection Analyst

Data Scientist

Data Scientists use their knowledge of statistics, programming, and machine learning to extract insights from data. They work with data engineers and other stakeholders to build and deploy data models that can be used to make informed decisions. This course may be helpful for Data Scientists who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for building and deploying data models.

See salaries and explore the career path for Data Scientist

DevOps Engineer

DevOps Engineers are responsible for building and maintaining the infrastructure for software development and deployment. They work with developers and other stakeholders to ensure that software is deployed and maintained in a reliable and efficient manner. This course may be helpful for DevOps Engineers who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for building and deploying data-intensive applications.

See salaries and explore the career path for DevOps Engineer

Cloud Architect

Cloud Architects are responsible for designing and implementing cloud computing solutions. They work with stakeholders to identify business needs and to design and implement cloud solutions that meet those needs. This course may be helpful for Cloud Architects who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for building and managing cloud-based data solutions.

See salaries and explore the career path for Cloud Architect

Machine Learning Engineer

Machine Learning Engineers are responsible for building and deploying machine learning models. They work with data scientists and other stakeholders to design and implement machine learning solutions that meet the needs of the business. This course may be helpful for Machine Learning Engineers who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for building and deploying machine learning models.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts are responsible for collecting, analyzing, and interpreting data. They work with stakeholders to identify trends and patterns in data and to make recommendations for improving business processes. This course may be helpful for Data Analysts who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for analyzing and interpreting data.

See salaries and explore the career path for Data Analyst

Database Administrator

Database Administrators are responsible for managing and maintaining databases. They work with database users and other stakeholders to ensure that databases are running smoothly and that data is secure and accessible. This course may be helpful for Database Administrators who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for managing and maintaining databases.

See salaries and explore the career path for Database Administrator

Information Security Analyst

Information Security Analysts are responsible for protecting organizations from cyber threats. They work with stakeholders to identify and mitigate security risks and to ensure that information systems are secure. This course may be helpful for Information Security Analysts who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for storing and processing sensitive data.

See salaries and explore the career path for Information Security Analyst

Data Engineer

Data Engineers are responsible for developing and maintaining data pipelines for collecting, processing, and storing data. They work with data scientists and other stakeholders to design and implement data solutions that meet the needs of the business. This course may be helpful for Data Engineers who wish to learn more about managing and securing Databricks workspaces, as this tool is commonly used for building and managing data pipelines.

See salaries and explore the career path for Data Engineer

Data Architect

A Data Architect is responsible in designing, building, and maintaining the infrastructure for data collection, storage, and processing within an organization. Their duties include designing data models and databases, establishing data governance policies, and ensuring that data is secure and accessible. This course may be helpful for Data Architects who wish to learn more about managing and securing Databricks workspaces, as this is a key tool for building and managing data infrastructure.

See salaries and explore the career path for Data Architect

Configuring and Managing Workspaces with Databricks Service

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