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Data Governance with Databricks: AWS Best Practices

Master data governance in Databricks platform. Learn AWS integration, RBAC implementation, data lineage tracking, and security best practices.

Master data governance in Databricks platform. Learn AWS integration, RBAC implementation, data lineage tracking, and security best practices.

This comprehensive course explores data governance implementation using Databricks and AWS integration. Students learn essential concepts including data classification, quality management, security policies, and compliance monitoring. The curriculum covers practical aspects of implementing RBAC, data lineage tracking, and data cleansing pipelines. Through hands-on labs and demonstrations, participants master the tools and techniques needed for effective data governance in modern cloud environments.

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Data Governance with Databricks: AWS Best Practices

This course includes

8 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

What you'll learn

  • Integrate AWS services with Databricks effectively

  • Implement data classification and quality management techniques

  • Develop and manage data catalogs in Databricks

  • Implement RBAC and security policies

  • Track data lineage and manage data versions

  • Ensure compliance with data privacy regulations

Skills you'll gain

databricks
aws integration
data governance
RBAC
data lineage
data security
data quality
ETL
compliance
aws glue

This course includes:

193 Minutes PreRecorded video

12 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This comprehensive course focuses on implementing data governance strategies using Databricks and AWS integration. The curriculum covers essential aspects of data governance including classification techniques, quality management, security implementations, and compliance monitoring. Students learn to implement RBAC, track data lineage, manage data catalogs, and establish data cleansing pipelines. Special emphasis is placed on practical applications through hands-on demonstrations and real-world scenarios.

Introduction to Data Governance with Databricks

Module 1 · 1 Hours to complete

Data Classification Techniques and Data Quality Management

Module 2 · 1 Hours to complete

Data Privacy and Security

Module 3 · 1 Hours to complete

Data Governance in Data Pipelines

Module 4 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Whizlabs Instructor
Whizlabs Instructor

47,957 Students

61 Courses

Oksana Hoeckele

Oksana Hoeckele is a highly regarded instructor on Coursera, specializing in cloud computing and AWS technologies. She is known for her engaging teaching style that simplifies complex concepts, making them accessible to a broad audience. Oksana's courses focus on practical applications of cloud services, equipping students with essential skills for careers in technology. Her positive reviews highlight her effectiveness as an educator and her commitment to helping learners succeed in the rapidly evolving tech landscape.

Data Governance with Databricks: AWS Best Practices

This course includes

8 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,435

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.