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Data Fabric: Capabilities, Patterns, and Automation

Data fabric is being implemented at Carved Rocks. IT needs architecture for data retrieval that supports reporting, machine learning, and AI. This course will teach you the basics for understanding data fabric capabilities, patterns, and automation.

Thomas LeBlanc - Pluralsight course - Data Fabric: Capabilities, Patterns, and Automation
Thomas LeBlanc
What you'll learn

Carved Rocks is being overwhelmed with the new data sources in the organization. These silos of data pushed management to try data fabric. With existing integrations and new SaaS systems, a new perspective is needed through data fabric. In this course, Data Fabric: Capabilities, Patterns, and Automation, Carved Rocks IT management will gain insights into a metadata-driven approach to make data more readily available and secure while staying compliant. First, you'll explore the definitions for key components such as data catalogs, lineage tools, metadata knowledge, policy engines, and orchestration layers. Next, you'll discover the differences between traditional integrations and the future of virtualizing the data sources not already in a data warehouse through semantic design. Finally, automation of these options will be explained and demonstrated to help with data masking, row and object level security, and policy enforcements. When you finish this course, you'll have the skills and knowledge of data fabric needed to understand the capabilities, patterns, and automation

Table of contents

About the author
Thomas LeBlanc - Pluralsight course - Data Fabric: Capabilities, Patterns, and Automation
Thomas LeBlanc

Microsoft Data Platform MVP specializing in SQL Server, Microsoft Business Intelligence (SSIS, SSAS & SSRS) and Power BI.

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