Databricks is a cloud-based data engineering tool used to process and transform large amounts of data and explore the data through machine learning models. It combines data warehouses & data lakes into a lakehouse architecture.
Data governance is a broad approach that comprises the principles, practices, and tools to manage an organization’s data assets throughout its lifecycle. A data governance strategy allows organizations to make data easily available protecting their data from unauthorized access, and ensuring compliance with regulatory requirements.
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Databricks is a cloud-based data engineering tool used to process and transform large amounts of data and explore the data through machine learning models. It combines data warehouses & data lakes into a lakehouse architecture.
Data governance is a broad approach that comprises the principles, practices, and tools to manage an organization’s data assets throughout its lifecycle. A data governance strategy allows organizations to make data easily available protecting their data from unauthorized access, and ensuring compliance with regulatory requirements.
Databricks is a cloud-based data engineering tool used to process and transform large amounts of data and explore the data through machine learning models. It combines data warehouses & data lakes into a lakehouse architecture.
Data governance is a broad approach that comprises the principles, practices, and tools to manage an organization’s data assets throughout its lifecycle. A data governance strategy allows organizations to make data easily available protecting their data from unauthorized access, and ensuring compliance with regulatory requirements.
This course provides 4 hours of training videos which are segmented into modules. The course concepts are easy to understand through lab demonstrations. In order to test the understanding of learners, every module includes Assessments in the form of Quizzes and In-Video Questions. A mandatory Graded Questions Quiz is also provided at the end of every module.
Candidate should have hands-on knowledge of the Databricks platform with the basic knowledge of AWS services. This course is tailored for professionals seeking to establish a strong foundation in data governance, fraud detection, and prevention strategies. By the end of this course, you will be able to:
-Understand the benefits and features of Databricks on AWS.
-Demonstrate Data Cleansing Pipelines in Databricks.
-Analyze Data Access Control Models and Data Privacy Regulations.
-Elaborate Data Lineage and Data Versions in Databricks Pipelines
What's inside
Syllabus
Introduction to Data Governance with Databricks
Welcome to Week 1 of Data Governance with Databricks course. This week, you will learn about Introduction to Databricks on AWS. Additionally, you will learn about the benefits and features of Databricks and AWS Integration.
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Syllabus
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Activities
Study Data Warehouses
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Refresh your understanding of data warehouses to strengthen your knowledge of the industry and how it relates to data governance.
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Data Warehouses
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-
Review notes or tutorials on data warehouses
-
Take practice quizzes or tests on data warehouse concepts
AWS Fundamentals Review
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Review AWS fundamentals to refresh your knowledge and ensure you have a solid foundation for the course.
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AWS
Show steps
-
Go through your AWS notes or online resources.
-
Take a practice quiz or mock exam to assess your understanding.
Data Governance Concepts and Principles Practice
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Practice answering multiple-choice questions to reinforce core data governance concepts and principles covered in the course.
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Data Governance
Show steps
-
Review the provided data governance concepts material.
-
Take the practice quiz to test your understanding.
-
Refer to the course material to clarify any misunderstandings.
Nine other activities
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Practice Data Cleansing Pipelines in Databricks
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Practice constructing data cleansing pipelines in Databricks to improve your data manipulation skills.
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Data Wrangling
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-
Create a sample dataset with common data quality issues
-
Use Databricks to create a data cleansing pipeline to address the issues
-
Test the pipeline and evaluate its effectiveness
Databricks Query Optimization Techniques Practice
Show steps
Practice applying query optimization techniques in Databricks to improve performance and efficiency.
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Databricks
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-
Review the course material on query optimization.
-
Solve practice problems or coding exercises to apply the techniques.
-
Compare your solutions with optimal approaches.
Data Lineage and Data Versioning in Databricks Pipelines Tutorial
Show steps
Follow an online tutorial to gain hands-on experience implementing data lineage and data versioning in Databricks pipelines.
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Data Lineage
Show steps
-
Identify a suitable online tutorial on data lineage and data versioning in Databricks.
-
Set up the required environment and tools.
-
Follow the tutorial steps to implement data lineage and data versioning.
-
Test the implementation and troubleshoot any issues.
Data Governance Best Practices Workshop
Show steps
Attend a workshop designed to share best practices, case studies, and insights on data governance implementation for improved data management.
Browse courses on
Data Management
Show steps
-
Identify and register for a data governance best practices workshop.
-
Attend the workshop and actively participate in discussions.
-
Network with industry professionals and learn from their experiences.
-
Apply the knowledge and insights gained to enhance your organization's data governance strategy.
Implementing Data Security Best Practices in Databricks Tutorial
Show steps
Follow a guided tutorial to learn and apply best practices for implementing data security in Databricks.
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Data Security
Show steps
-
Identify a suitable online tutorial on data security best practices in Databricks.
-
Set up the required environment and tools.
-
Follow the tutorial steps to implement data security best practices.
-
Test the implementation and troubleshoot any issues.
Design a Data Governance Plan for a Fictional Organization
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Create a comprehensive data governance plan to demonstrate your understanding of data management principles and their application in real-world scenarios.
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Data Strategy
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-
Define the scope and objectives of the data governance plan
-
Identify the key stakeholders and their roles and responsibilities
-
Develop data governance policies and procedures
-
Implement data governance tools and technologies
-
Monitor and evaluate the effectiveness of the data governance plan
Data Governance Policy Framework Creation
Show steps
Create a data governance policy framework to solidify your understanding of data governance principles and their application.
Browse courses on
Data Management
Show steps
-
Research and gather information on data governance policy frameworks.
-
Draft a data governance policy framework tailored to your organization's needs.
-
Review and refine your framework with feedback from peers or mentors.
-
Present your framework to stakeholders for feedback and approval.
Contribute to the Apache Atlas Project
Show steps
Contribute to open-source data governance initiatives to gain practical experience and connect with the broader data community.
Show steps
-
Review the Apache Atlas documentation
-
Identify areas where you can contribute
-
Submit a pull request with your contributions
-
Engage with the Apache Atlas community
Contribute to Open-Source Data Governance Projects
Show steps
Engage with the open-source community by contributing to data governance projects to enhance your understanding and gain practical experience.
Show steps
-
Identify open-source data governance projects that align with your interests.
-
Join project communities and contribute in areas such as documentation, issue resolution, or feature development.
-
Collaborate with project maintainers and fellow contributors to learn from their expertise.
-
Share your insights and contribute to the growth of the data governance ecosystem.
Study Data Warehouses
Show steps
Refresh your understanding of data warehouses to strengthen your knowledge of the industry and how it relates to data governance.
Browse courses on
Data Warehouses
Show steps
- Review notes or tutorials on data warehouses
- Take practice quizzes or tests on data warehouse concepts
AWS Fundamentals Review
Show steps
Review AWS fundamentals to refresh your knowledge and ensure you have a solid foundation for the course.
Browse courses on
AWS
Show steps
- Go through your AWS notes or online resources.
- Take a practice quiz or mock exam to assess your understanding.
Data Governance Concepts and Principles Practice
Show steps
Practice answering multiple-choice questions to reinforce core data governance concepts and principles covered in the course.
Browse courses on
Data Governance
Show steps
- Review the provided data governance concepts material.
- Take the practice quiz to test your understanding.
- Refer to the course material to clarify any misunderstandings.
Practice Data Cleansing Pipelines in Databricks
Show steps
Practice constructing data cleansing pipelines in Databricks to improve your data manipulation skills.
Browse courses on
Data Wrangling
Show steps
- Create a sample dataset with common data quality issues
- Use Databricks to create a data cleansing pipeline to address the issues
- Test the pipeline and evaluate its effectiveness
Databricks Query Optimization Techniques Practice
Show steps
Practice applying query optimization techniques in Databricks to improve performance and efficiency.
Browse courses on
Databricks
Show steps
- Review the course material on query optimization.
- Solve practice problems or coding exercises to apply the techniques.
- Compare your solutions with optimal approaches.
Data Lineage and Data Versioning in Databricks Pipelines Tutorial
Show steps
Follow an online tutorial to gain hands-on experience implementing data lineage and data versioning in Databricks pipelines.
Browse courses on
Data Lineage
Show steps
- Identify a suitable online tutorial on data lineage and data versioning in Databricks.
- Set up the required environment and tools.
- Follow the tutorial steps to implement data lineage and data versioning.
- Test the implementation and troubleshoot any issues.
Data Governance Best Practices Workshop
Show steps
Attend a workshop designed to share best practices, case studies, and insights on data governance implementation for improved data management.
Browse courses on
Data Management
Show steps
- Identify and register for a data governance best practices workshop.
- Attend the workshop and actively participate in discussions.
- Network with industry professionals and learn from their experiences.
- Apply the knowledge and insights gained to enhance your organization's data governance strategy.
Implementing Data Security Best Practices in Databricks Tutorial
Show steps
Follow a guided tutorial to learn and apply best practices for implementing data security in Databricks.
Browse courses on
Data Security
Show steps
- Identify a suitable online tutorial on data security best practices in Databricks.
- Set up the required environment and tools.
- Follow the tutorial steps to implement data security best practices.
- Test the implementation and troubleshoot any issues.
Design a Data Governance Plan for a Fictional Organization
Show steps
Create a comprehensive data governance plan to demonstrate your understanding of data management principles and their application in real-world scenarios.
Browse courses on
Data Strategy
Show steps
- Define the scope and objectives of the data governance plan
- Identify the key stakeholders and their roles and responsibilities
- Develop data governance policies and procedures
- Implement data governance tools and technologies
- Monitor and evaluate the effectiveness of the data governance plan
Data Governance Policy Framework Creation
Show steps
Create a data governance policy framework to solidify your understanding of data governance principles and their application.
Browse courses on
Data Management
Show steps
- Research and gather information on data governance policy frameworks.
- Draft a data governance policy framework tailored to your organization's needs.
- Review and refine your framework with feedback from peers or mentors.
- Present your framework to stakeholders for feedback and approval.
Contribute to the Apache Atlas Project
Show steps
Contribute to open-source data governance initiatives to gain practical experience and connect with the broader data community.
Show steps
- Review the Apache Atlas documentation
- Identify areas where you can contribute
- Submit a pull request with your contributions
- Engage with the Apache Atlas community
Contribute to Open-Source Data Governance Projects
Show steps
Engage with the open-source community by contributing to data governance projects to enhance your understanding and gain practical experience.
Show steps
- Identify open-source data governance projects that align with your interests.
- Join project communities and contribute in areas such as documentation, issue resolution, or feature development.
- Collaborate with project maintainers and fellow contributors to learn from their expertise.
- Share your insights and contribute to the growth of the data governance ecosystem.
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