Enterprise Data Architecture Modernization

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Enterprise Data Architecture Modernization

Instructor: TSV Learning

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2 modules

Gain insight into a topic and learn the fundamentals.

5 hours to complete

Flexible schedule

Learn at your own pace

2 modules

Gain insight into a topic and learn the fundamentals.

5 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Evaluate enterprise data modernization strategies using scalable architectures, data lakes, active metadata, and semantic search.
Assess automated data quality, zero-trust security, privacy, high availability, and disaster recovery for resilient data platforms.
Develop modernization value scorecards using ROI, cost, operational KPIs, edge analytics, and time-to-insight metrics.

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There are 2 modules in this course

Modernize enterprise data architecture with scalable design, stronger data governance, and measurable business value. Learn to evaluate data modernization strategies that improve scalability, resilience, and operational efficiency.

Designed for data architects, data engineers, platform leads, and transformation professionals, this intermediate course explores decoupled architectures, data lakes, active metadata, governed APIs, vector databases, and semantic search. You'll learn to evaluate legacy data environments, select scalable modernization approaches, and design conceptual integrations using metadata, APIs, and semantic retrieval technologies. Explore automated data quality, zero-trust security, privacy, high availability, and disaster recovery. Examine how these practices strengthen enterprise data platforms and support operational resilience. Discover how edge analytics, return on investment (ROI), total cost of ownership, and time-to-insight metrics help measure modernization success. By the end of the course, you'll be able to recommend architecture improvements, assess security and resilience controls, and develop KPI-based modernization value scorecards. What makes this course distinctive is its integrated approach to technical architecture, operational resilience, and measurable business outcomes, helping you make informed enterprise data modernization decisions.

Examine enterprise data modernization principles, decoupled scaling, and data lake architectures. Explore how active metadata, governed APIs, vector databases, and semantic search support discoverable and interoperable data platforms.

What's included

6 videos3 assignments

6 videosTotal 45 minutes

Enterprise Data Modernization Fundamentals6 minutes
Decoupled Data Architecture and Scalability8 minutes
Data Lakes and Modern Data Architecture10 minutes
Active Metadata and Data Optimization10 minutes
Fostering API7 minutes
Vector Databases and Semantic Search6 minutes

3 assignmentsTotal 50 minutes

Foundations and Modern Data Architecture30 minutes
Modernization Principles and Architecture10 minutes
Metadata, APIs, and Semantic Data Technologies10 minutes

Explore automated data quality, zero-trust access, privacy, high availability, and recovery practices. Evaluate edge analytics opportunities and define financial and operational KPIs for modernization investments.

What's included

5 videos3 assignments

5 videosTotal 39 minutes

Automated Data Quality Management7 minutes
Zero-Trust Security and Data Privacy6 minutes
High Availability and Data Resilience10 minutes
Edge Analytics and Data Modernization8 minutes
Data Modernization ROI and KPIs9 minutes

3 assignmentsTotal 50 minutes

Operational Resilience and Modernization Value30 minutes
Data Quality, Security, and Resilience10 minutes
Edge Analytics and Business Value10 minutes

Instructor

TSV Learning

The Skill Valley

119 Courses739 learners

Offered by

The Skill Valley

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