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Configuring and Managing Workspaces with Databricks Service

Kishan Iyer

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.

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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.

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What's inside

Syllabus

Course Overview
Setting Up Administration on Azure Databricks
Managing Billing for an Azure Databricks Workspace
Configuring Security on Azure Databricks
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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

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Activities

Coming soon We're preparing activities for Configuring and Managing Workspaces with Databricks Service. These are activities you can do either before, during, or after a course.

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected seven books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Configuring and Managing Workspaces with Databricks Service.
Provides a comprehensive overview of cloud computing concepts, technologies, and architectures, including topics such as virtualization, storage, networking, and security.
Provides a comprehensive introduction to data science concepts and Python programming, which are essential skills for working with Databricks.
Provides a comprehensive overview of Apache Spark. It great resource for anyone looking to learn how to use Spark for data engineering and data science.
Provides a comprehensive introduction to natural language processing concepts and techniques, using Python, which is becoming increasingly important in Databricks environments for text analytics.
Introduces machine learning concepts and algorithms, which are becoming increasingly important in Databricks environments.
Provides a practical introduction to deep learning techniques and neural networks, which are gaining popularity in Databricks environments for advanced analytics.
Provides a comprehensive overview of data science for business. It great resource for anyone looking to learn how to use data science to solve business problems.

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