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Kishan Iyer

Administering an app or service correctly is crucial to ensuring its security and enabling users to get the best out its features. This course delves into the challenges and techniques in Databricks workspace administration.

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Administering an app or service correctly is crucial to ensuring its security and enabling users to get the best out its features. This course delves into the challenges and techniques in Databricks workspace administration.

Databricks workspaces serve as the entry point to all assets within this service, and ensuring the right people have access to them, and the right set of permissions to carry out their tasks is essential to ensuring security as well as maximizing the productivity of Databricks users. In this course, Managing and Administering the Databricks Service, you'll delve into the different entities who can interact with Databricks, and how their access can be regulated. First, you'll learn how a Databricks workspace can be provisioned in the Azure cloud platform, and the type of users who can be granted access to it. Next, you'll discover the different types of entitlements which can be granted to users and groups, and the techniques available to accomplish this job. Finally, you'll delve into how the provisioning of users in Databricks can be automated with an application available on the Azure cloud platform. Once you complete this course, you'll have a clear picture of the responsibilities of a Databricks administrator and the various options available when managing this crucial big data service.

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What's inside

Syllabus

Course Overview
Creating and Managing Users on Databricks
Configuring User Permissions on Databricks
Integrating Active Directory Users with Azure Databricks
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Ensures the security and enables users to efficiently leverage Databricks workspace
Serves as a foundational course for those responsible for managing Databricks workspaces
Provides techniques for regulating user access, workspace provisioning, and entitlement management

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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 Managing and Administering the Databricks Service with these activities:
Review Apache Spark Fundamentals
Reviewing Apache Spark fundamentals will strengthen your understanding of the underlying concepts used in Databricks.
Browse courses on Apache Spark
Show steps
  • Revisit Apache Spark documentation or online tutorials
  • Complete practice exercises or coding challenges related to Apache Spark
Participate in Databricks Community Forums
Engaging with the Databricks community will provide you with valuable insights and support from other users and experts.
Show steps
  • Join the Databricks Community Forums
  • Participate in discussions and ask questions
  • Collaborate with other members to find solutions
Attend a Databricks Workshop or Webinar
Attending a Databricks workshop or webinar will provide you with hands-on experience and insights from industry experts.
Browse courses on Training and Development
Show steps
  • Identify a relevant Databricks workshop or webinar
  • Register and attend the event
  • Actively participate and engage with the instructors and attendees
Five other activities
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Explore Databricks Marketplace Solutions
Exploring the Databricks Marketplace will expand your knowledge of available solutions and tools to enhance your Databricks skills.
Browse courses on Data Analytics Tools
Show steps
  • Browse the Databricks Marketplace and identify solutions relevant to your industry or use cases
  • Follow tutorials or documentation to implement a selected solution in your Databricks workspace
Practice User and Permission Management
Hands-on practice with user and permission management will solidify your understanding of these critical aspects of Databricks administration.
Browse courses on User Management
Show steps
  • Set up a test Databricks workspace
  • Create and manage multiple users with different roles and permissions
  • Simulate real-world scenarios and troubleshoot permission-related issues
Participate in a Databricks Hackathon or Challenge
Participating in a Databricks hackathon or challenge will push your skills to the limit and enhance your problem-solving abilities.
Browse courses on Problem Solving
Show steps
  • Identify a Databricks hackathon or challenge that aligns with your interests
  • Form a team or work individually on a project
  • Develop and implement a solution using Databricks technologies
Design a Databricks Workspace Security Plan
Creating a comprehensive Databricks workspace security plan will demonstrate your ability to apply the course concepts to a practical scenario.
Browse courses on Security Planning
Show steps
  • Identify security requirements for your organization
  • Design a security architecture for your Databricks workspace
  • Document the security plan and share it with stakeholders
Contribute to an Open-Source Databricks Project
Contributing to an open-source Databricks project will demonstrate your commitment to the community and enhance your technical skills.
Browse courses on Software Development
Show steps
  • Identify a suitable open-source Databricks project on platforms like GitHub
  • Review the project's documentation and codebase
  • Propose and implement enhancements or fixes

Career center

Learners who complete Managing and Administering the Databricks Service will develop knowledge and skills that may be useful to these careers:
Cloud Engineer
Cloud engineers are responsible for designing, building, and managing cloud-based infrastructure. They work with architects, developers, and other stakeholders to ensure that the cloud infrastructure is scalable, reliable, and secure. This course on Managing and Administering the Databricks Service may be useful for cloud engineers who want to learn how to use Databricks to manage their cloud-based infrastructure. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Machine Learning Engineer
Machine learning engineers are responsible for designing, building, and deploying machine learning models. They work with data scientists and other stakeholders to ensure that the machine learning models are accurate, reliable, and scalable. This course on Managing and Administering the Databricks Service may be useful for machine learning engineers who want to learn how to use Databricks to manage their data and build machine learning models. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to build machine learning models.
Data Engineer
Data engineers are responsible for designing and building the data pipelines that businesses use to collect, transform, and store data. They also work with data analysts and other stakeholders to ensure that the data is accurate, reliable, and accessible. This course on Managing and Administering the Databricks Service may be useful for data engineers who want to learn how to use Databricks to manage their data pipelines. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data transformations.
Data Analyst
Data analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. They use a variety of tools and techniques to perform data analysis, including statistical software, data visualization tools, and machine learning algorithms. This course on Managing and Administering the Databricks Service may be useful for data analysts who want to learn how to use Databricks to manage their data and perform data analysis. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
DevOps Engineer
DevOps engineers are responsible for bridging the gap between development and operations teams. They work with developers to ensure that the software development process is efficient and effective, and they work with operations teams to ensure that the software is deployed and maintained in a reliable and scalable manner. This course on Managing and Administering the Databricks Service may be useful for DevOps engineers who want to learn how to use Databricks to manage their software development and deployment process. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Data Scientist
Data scientists are responsible for using data to solve business problems. They use a variety of tools and techniques to build predictive models, identify trends, and develop insights from data. This course on Managing and Administering the Databricks Service may be useful for data scientists who want to learn how to use Databricks to manage their data and build predictive models. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to build predictive models.
Privacy Analyst
Privacy analysts are responsible for identifying and mitigating privacy risks. They work with other stakeholders to develop and implement privacy policies and procedures. This course on Managing and Administering the Databricks Service may be useful for privacy analysts who want to learn how to use Databricks to protect their organization's data. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Data Protection Officer
Data protection officers are responsible for ensuring that an organization's data is protected from unauthorized access, use, or disclosure. They work with other stakeholders to develop and implement data protection policies and procedures. This course on Managing and Administering the Databricks Service may be useful for data protection officers who want to learn how to use Databricks to protect their organization's data. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
System Administrator
System administrators are responsible for managing and maintaining the computer systems used by an organization. They ensure that the systems are running smoothly and efficiently, and that the data is secure. This course on Managing and Administering the Databricks Service may be useful for system administrators who want to learn how to use Databricks to manage their computer systems. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Compliance Analyst
Compliance analysts are responsible for ensuring that an organization is compliant with all applicable laws and regulations. They work with other stakeholders to develop and implement compliance policies and procedures. This course on Managing and Administering the Databricks Service may be useful for compliance analysts who want to learn how to use Databricks to ensure their organization's compliance with applicable laws and regulations. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Database Administrator
Database administrators are responsible for managing and maintaining the databases used by an organization. They ensure that the databases are running smoothly and efficiently, and that the data is secure. This course on Managing and Administering the Databricks Service may be useful for database administrators who want to learn how to use Databricks, a cloud-based data analytics platform, to manage their databases. The course covers topics such as creating and managing users, configuring user permissions, and integrating Active Directory users with Azure Databricks.
Network Administrator
Network administrators are responsible for managing and maintaining the networks used by an organization. They ensure that the networks are running smoothly and efficiently, and that the data is secure. This course on Managing and Administering the Databricks Service may be useful for network administrators who want to learn how to use Databricks to manage their networks. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Risk Analyst
Risk analysts are responsible for identifying and mitigating risks. They work with other stakeholders to develop and implement risk management policies and procedures. This course on Managing and Administering the Databricks Service may be useful for risk analysts who want to learn how to use Databricks to identify and mitigate risks. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Auditor
Auditors are responsible for examining an organization's financial and operational records to ensure that they are accurate and compliant with applicable laws and regulations. This course on Managing and Administering the Databricks Service may be useful for auditors who want to learn how to use Databricks to perform audits. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.
Security Analyst
Security analysts are responsible for protecting an organization's computer systems and data from security threats. They work with other stakeholders to identify, assess, and mitigate security risks. This course on Managing and Administering the Databricks Service may be useful for security analysts who want to learn how to use Databricks to protect their organization's data. The course covers topics such as creating and managing clusters, loading data into Databricks, and using Databricks to perform data analysis.

Reading list

We've selected ten 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 Managing and Administering the Databricks Service.
This comprehensive guide to Apache Hadoop provides a solid foundation for understanding the framework and its ecosystem, including its core concepts and implementation details.
Offers a thorough introduction to machine learning algorithms and techniques specifically tailored for big data environments.
This concise guide provides a clear overview of NoSQL databases and their advantages and disadvantages, helping students understand the different options available for data storage.
This foundational text provides a rigorous mathematical treatment of pattern recognition and machine learning algorithms, offering advanced knowledge in the field.
This engaging book introduces the principles of predictive analytics and demonstrates its applications across various domains, providing real-world examples and case studies.
This comprehensive reference guide to Apache Spark offers in-depth coverage of its architecture, programming model, and advanced features, serving as a valuable resource for practitioners.
This textbook offers a thorough introduction to the theoretical foundations of machine learning, providing a solid understanding of the underlying principles and algorithms.

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