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.
Instructors:
English
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
This course includes:
193 Minutes PreRecorded video
12 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
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
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.
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Frequently asked questions
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