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Kishan Iyer

Clusters are at the heart of most tasks in Databricks, and configuring them precisely is crucial to ensuring optimum performance while also managing costs. This course covers how cluster policies can be used to help meet these goals.

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Clusters are at the heart of most tasks in Databricks, and configuring them precisely is crucial to ensuring optimum performance while also managing costs. This course covers how cluster policies can be used to help meet these goals.

Administering a Databricks workspace involves a wide variety of tasks, but one with far-reaching consequences which is often neglected is the management of clusters and cluster policies. In this course, Administering Clusters and Configuring Policies with Databricks Service, you'll explore how to effectively manage clusters and policies in Databricks which helps ensure teams run their jobs in a consistent environment while keeping costs down to manageable levels. First, you'll learn the need for cluster policies, and specifically how these can help control costs while still allowing users to run their jobs efficiently. Next, you'll explore how rules can be set to restrict access to specific Databricks resources, such as instance pools, clusters, and notebooks. Then, you'll discover how cluster policies can be framed and applied programmatically. Finally, you'll learn how to generate a personal access token to interact with Databricks using the REST API, and cover how this can be used to define policies, as well as clusters built by applying them.

Once you complete this course, you'll recognize exactly why cluster policies are required, how these can be defined and rolled out in an organization, and how these can be managed with the Databricks REST API.

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What's inside

Syllabus

Course Overview
Defining Cluster Policies on Azure Databricks
Configuring Access to Cluster Resources
Managing and Using Personal Access Tokens
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Provides Essential Foundation for Understanding Cluster Policies in Databricks, Ensuring Effective Administration and Cost Management
Instructor Kishan Iyer is a Recognized Industry Expert in Big Data and Databricks
Well-Structured Course with a Clear Focus on Cluster Policies and Access Control
Practical Hands-on Approach with Opportunities for Learners to Apply Concepts
Teaches Essential Skills for Data Engineers, Data Scientists, and Cloud Architects
Suitable for Individuals with Prior Experience in Databricks or Cloud Computing

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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 Administering Clusters and Configuring Policies with Databricks Service with these activities:
Practice using Databricks
This will help you refresh your skills in Databricks which will support learning in this course.
Browse courses on Databricks
Show steps
  • Go through tutorials on the Databricks website
  • Work on practice exercises using Databricks
Review Big Data concepts
This will provide you with a foundation in Big Data concepts which is necessary for this course.
Show steps
  • Read through the course syllabus
  • Review notes from previous coursework in related areas
Follow tutorials on cluster policies
This will provide you with a deeper understanding of cluster policies.
Show steps
  • Find tutorials on cluster policies
  • Follow the steps in the tutorials
  • Try out the examples provided
Four other activities
Expand to see all activities and additional details
Show all seven activities
Write Python code to create and manage clusters
This will help you develop your skills in writing Python code to create and manage clusters.
Browse courses on Python
Show steps
  • Find online coding exercises or challenges
  • Work on practice problems involving Python code for cluster management
  • Review solutions and compare your approach
Discuss cluster policies with peers
This will help you learn from others and gain different perspectives on cluster policies.
Show steps
  • Find a study group or online forum
  • Participate in discussions
  • Share your knowledge and experiences
Create a cluster policy for a given scenario
This will give you hands-on experience in creating and implementing cluster policies.
Show steps
  • Identify a specific scenario
  • Design the cluster policy
  • Implement the cluster policy
  • Test the cluster policy
Contribute to open-source projects related to cluster policies
This will give you real-world experience in working with cluster policies.
Show steps
  • Find open-source projects related to cluster policies
  • Identify ways to contribute
  • Make your contributions
  • Collaborate with other contributors

Career center

Learners who complete Administering Clusters and Configuring Policies with Databricks Service will develop knowledge and skills that may be useful to these careers:
Data Scientist
Data Scientists use data to build models that can help businesses make better decisions. They work with data analysts and engineers to ensure that data is available and accessible for analysis. This course can help you become a Data Scientist by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in data science, which is a valuable skill for any Data Scientist to have.
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines. They work with data analysts and scientists to ensure that data is available and accessible for analysis. This course can help you become a Data Engineer by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in data engineering, which is a valuable skill for any Data Engineer to have.
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data. They use this data to help businesses make better decisions. This course can help you become a Data Analyst by teaching you how to manage clusters and configure policies in Databricks, which are essential skills for this role. Additionally, this course can help you build a foundation in data analysis, which is a valuable skill for any Data Analyst to have.
Cloud Architect
Cloud Architects design and implement cloud computing solutions. They work with businesses to help them understand the benefits of cloud computing and how to use it to their advantage. This course can help you become a Cloud Architect by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in cloud computing, which is a valuable skill for any Cloud Architect to have.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with data analysts and scientists to ensure that data is available and accessible for analysis. This course can help you become a Database Administrator by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in database administration, which is a valuable skill for any Database Administrator to have.
Cloud Engineer
Cloud Engineers build and maintain cloud computing solutions. They work with cloud architects to design and implement solutions that meet the needs of businesses. This course can help you become a Cloud Engineer by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in cloud engineering, which is a valuable skill for any Cloud Engineer to have.
Software Engineer
Software Engineers design, develop, and maintain software applications. They work with businesses to understand their needs and develop solutions that meet those needs. This course can help you become a Software Engineer by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in software engineering, which is a valuable skill for any Software Engineer to have.
Systems Engineer
Systems Engineers design, develop, and maintain computer systems. They work with businesses to understand their needs and develop solutions that meet those needs. This course can help you become a Systems Engineer by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in systems engineering, which is a valuable skill for any Systems Engineer to have.
Data Warehousing Specialist
Data Warehousing Specialists design and implement data warehouses. They work with data analysts and scientists to ensure that data is available and accessible for analysis. This course can help you become a Data Warehousing Specialist by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in data warehousing, which is a valuable skill for any Data Warehousing Specialist to have.
Web Developer
Web Developers design, develop, and maintain websites. They work with businesses to understand their needs and develop solutions that meet those needs. This course can help you become a Web Developer by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in web development, which is a valuable skill for any Web Developer to have.
DevOps Engineer
DevOps Engineers work with developers and operations teams to ensure that software is developed and deployed efficiently. This course can help you become a DevOps Engineer by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in DevOps, which is a valuable skill for any DevOps Engineer to have.
Project Manager
Project Managers work with teams to plan and execute projects. They work with stakeholders to understand their needs and develop solutions that meet those needs. This course can help you become a Project Manager by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in project management, which is a valuable skill for any Project Manager to have.
IT Consultant
IT Consultants help businesses with their technology needs. They work with businesses to understand their needs and develop solutions that meet those needs. This course can help you become an IT Consultant by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in IT consulting. which is a valuable skill for any IT Consultant to have.
Business Analyst
Business Analysts work with businesses to understand their needs and develop solutions that meet those needs. This course can help you become a Business Analyst by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in business analysis. which is a valuable skill for any Business Analyst to have.
Product Manager
Product Managers work with businesses to understand their needs and develop products that meet those needs. This course can help you become a Product Manager by teaching you how to manage clusters and configure policies in Databricks. Additionally, this course can help you build a foundation in product management, which is a valuable skill for any Product Manager to have.

Reading list

We've selected six 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 Administering Clusters and Configuring Policies with Databricks Service.
Is an essential guide to using Spark 3.0. It covers all the core features of Spark, including dataframes, Spark SQL, and machine learning.
Comprehensive guide to MongoDB, covering topics such as data storage, data processing, and data analysis.
Comprehensive guide to Kafka, covering topics such as data storage, data processing, and data analysis.
Comprehensive guide to using data science for business, covering topics such as data exploration, data visualization, and machine learning.

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