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Board Infinity

Data Governance with Databricks is a meticulously designed course to help you understand and implement efficient data governance in your organization. The course begins by familiarizing you with the key principles of data governance and the role of Databricks in facilitating effective governance of data. This is followed by a deep dive into the core components of data governance such as frameworks, policies, roles, and regulatory considerations, as well as data quality and metadata management.

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Data Governance with Databricks is a meticulously designed course to help you understand and implement efficient data governance in your organization. The course begins by familiarizing you with the key principles of data governance and the role of Databricks in facilitating effective governance of data. This is followed by a deep dive into the core components of data governance such as frameworks, policies, roles, and regulatory considerations, as well as data quality and metadata management.

The course is segmented into two distinct modules.

Module 1, "Data Governance and Databricks - Fundamentals", provides a comprehensive understanding of the importance of data governance and the integral role of Databricks in the process. By the end of this module, you will be well-equipped with a fundamental understanding of data governance and the features of Databricks that support governance initiatives.

Module 2, "Data Governance and Databricks - Application", focuses on practical applications of Databricks for data governance. You will learn how to manage data, implement governance workflows, manage metadata, and ensure security in Databricks. The module also explores best practices for data governance using Databricks and culminates with real-world examples and case studies highlighting successful data governance implementations.

This course is perfect for data professionals, data governance analysts, data stewards, IT managers, and anyone interested in improving their organization's data governance using Databricks. Prior knowledge of Databricks is not a prerequisite, making it suitable for beginners as well as experienced professionals seeking to enhance their skills.

By the end of this course, you'll understand the significance of data governance and the ways to leverage Databricks for it. You'll gain the ability to manage data, design governance workflows, and ensure security in Databricks, drawing from best practices and real-world examples.

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What's inside

Syllabus

Data Governance and Databricks - Fundamentals
This module serves as your initiation into the realm of data governance and Databricks. Starting from an overview of data governance and its importance, you will delve into its key components, frameworks, and policies. This module will also introduce you to Databricks and its role in facilitating data governance, setting the foundation for the next module's practical application.
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Data Governance and Databricks - Application
Building on the fundamentals from the first module, Module 2 takes you on a journey of practical application of data governance using Databricks. You'll learn how to leverage Databricks for data management, implementing governance workflows, and managing data security. The module concludes with best practices for data governance with Databricks and a close look at real-world case studies. By the end of this module, you'll be able to apply your learned knowledge to actual scenarios.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Taught by the respected Board Infinity, a leader in data training
Designed for a broad audience, including data professionals, data governance analysts, data stewards, IT managers, and those seeking to enhance their data governance skills in Databricks
Provides a solid foundation in data governance principles and key components
Emphasizes practical applications of data governance in Databricks, suitable for both beginners and experienced professionals
Provides industry best practices and case studies for effective data governance implementation
Requires no prior knowledge of Databricks, making it accessible to a broader audience

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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 Data Governance with Databricks with these activities:
Review basic data governance concepts
Refreshes foundational knowledge of data governance principles and provides a solid base for the course.
Browse courses on Data Governance
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  • Review online resources and articles on data governance
  • Summarize key concepts in your own words
  • Discuss data governance concepts with peers or colleagues
Follow tutorials on Databricks data governance features
Offers practical guidance on using Databricks features for data governance, enhancing technical knowledge and proficiency.
Browse courses on Databricks
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  • Identify relevant Databricks data governance tutorials
  • Complete tutorials and implement Databricks features in practice
  • Document your experiences and learnings
Practice creating data governance policies
Provides hands-on practice in drafting and refining data governance policies, improving understanding and application.
Show steps
  • Identify different types of data governance policies
  • Develop sample policies based on hypothetical scenarios
  • Review and refine policies with feedback from peers or mentors
Three other activities
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Create a data governance plan for a hypothetical organization
Encourages the application of learned concepts by creating a comprehensive data governance plan, fostering critical thinking and problem-solving.
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  • Define the organization's data governance objectives
  • Identify stakeholders and their roles in data governance
  • Develop policies and procedures for data management
  • Create a data governance framework and implementation plan
  • Present the data governance plan to stakeholders for feedback and approval
Volunteer at a non-profit organization that specializes in data governance
Provides real-world experience in data governance, enables students to contribute to a meaningful cause, and fosters a deeper understanding of practical applications.
Browse courses on Data Governance
Show steps
  • Identify non-profit organizations working in data governance
  • Contact the organizations and inquire about volunteering opportunities
  • Identify a project or task that aligns with your interests and skills
  • Dedicate time to volunteering and actively contribute to the project
  • Reflect on your experiences and how they enhance your understanding of data governance
Contribute to an open-source data governance project
Engages students in hands-on experience with real-world data governance challenges, fostering problem-solving, collaboration, and practical implementation.
Browse courses on Data Governance
Show steps
  • Identify open-source data governance projects on platforms like GitHub
  • Review the project documentation and identify areas where you can contribute
  • Submit pull requests or issues to the project
  • Collaborate with other contributors and maintainers
  • Reflect on your contributions and how they advance your data governance knowledge and skills

Career center

Learners who complete Data Governance with Databricks will develop knowledge and skills that may be useful to these careers:
Data Governance Analyst
Data Governance Analysts are responsible for developing and implementing data governance policies and procedures. They work with business stakeholders to understand their data needs and develop data governance strategies. This course will help you to develop the skills and knowledge you need to be a successful Data Governance Analyst. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to implement data governance policies and procedures.
Data Architect
Data Architects are responsible for designing and building data management solutions. They work with business stakeholders to understand their data needs and develop data management strategies. This course will help you to develop the skills and knowledge you need to be a successful Data Architect. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to design and build data management solutions.
Data Scientist
Data Scientists use data to solve business problems. They work with data to identify trends, build models, and make predictions. This course will help you to develop the skills and knowledge you need to be a successful Data Scientist. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to use data to solve business problems.
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines. They work with data to extract, transform, and load data into data warehouses and other data stores. This course will help you to develop the skills and knowledge you need to be a successful Data Engineer. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to build and maintain data pipelines.
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They work with data to ensure that it is accurate, secure, and accessible. This course will help you to develop the skills and knowledge you need to be a successful Database Administrator. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to manage and maintain databases.
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make better decisions. They work with data to identify trends, build models, and make predictions. This course will help you to develop the skills and knowledge you need to be a successful Business Intelligence Analyst. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to use data to help businesses make better decisions.
Data Analyst
Data Analysts use data to solve business problems. They work with data to identify trends, build models, and make predictions. This course will help you to develop the skills and knowledge you need to be a successful Data Analyst. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to use data to solve business problems.
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you to develop the skills and knowledge you need to be a successful Software Engineer. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to design, develop, and maintain software applications.
IT Manager
IT Managers are responsible for planning, implementing, and managing IT systems. They work with data to ensure that it is accurate, secure, and accessible. This course will help you to develop the skills and knowledge you need to be a successful IT Manager. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to plan, implement, and manage IT systems.
Project Manager
Project Managers are responsible for planning, executing, and closing projects. They work with data to track progress, identify risks, and make decisions. This course will help you to develop the skills and knowledge you need to be a successful Project Manager. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to plan, execute, and close projects.
Business Analyst
Business Analysts use data to help businesses make better decisions. They work with data to identify trends, build models, and make predictions. This course will help you to develop the skills and knowledge you need to be a successful Business Analyst. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to use data to help businesses make better decisions.
Data Steward
Data Stewards are responsible for ensuring that data is accurate, complete, and consistent. They work with data to identify and resolve data quality issues. This course will help you to develop the skills and knowledge you need to be a successful Data Steward. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to ensure that data is accurate, complete, and consistent.
Data Quality Analyst
Data Quality Analysts are responsible for ensuring that data is accurate, complete, and consistent. They work with data to identify and resolve data quality issues. This course will help you to develop the skills and knowledge you need to be a successful Data Quality Analyst. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to ensure that data is accurate, complete, and consistent.
Metadata Manager
Metadata Managers are responsible for managing and maintaining metadata. They work with data to ensure that it is accurate, complete, and consistent. This course will help you to develop the skills and knowledge you need to be a successful Metadata Manager. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to manage and maintain metadata.
Data Security Analyst
Data Security Analysts are responsible for protecting data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with data to identify and resolve data security risks. This course will help you to develop the skills and knowledge you need to be a successful Data Security Analyst. You will learn about the key principles of data governance, the role of Databricks in facilitating effective governance of data, and how to protect data from unauthorized access, use, disclosure, disruption, modification, or destruction.

Reading list

We've selected eight 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 Data Governance with Databricks.
Provides a deep dive into Databricks Spark, a popular big data processing framework. It covers topics such as Spark architecture, Spark performance, and Spark security. It valuable resource for understanding how to use Databricks Spark effectively.
Provides a background on data management and analytics, useful as prerequisite material in Module 1.
Examines the importance of data governance in the modern enterprise and provides a roadmap for implementation.

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