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AINS6006 Big Data Management for AI Applications
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AINS6006: Big Data Management for AI Applications
Syllabus: AINS6006 Big Data Management for AI Applications
How to Use AINS6006
Technical Requirements and Setup
Authoritative Readings and Resources
Module 1: Data architectures for AI
Module 1 Book Prose
Module 1: Data architectures for AI
Module 1 Narrated Study Guide
Module 1 Rubric
Module 2: Pipelines, orchestration, and quality
Module 2 Book Prose
Module 2: Pipelines, orchestration, and quality
Module 2 Narrated Study Guide
Module 2 Rubric
Module 3: Storage, indexing, and retrieval
Module 3 Book Prose
Module 3: Storage, indexing, and retrieval
Module 3 Narrated Study Guide
Module 3 Rubric
Module 4: Distributed processing and scale
Module 4 Book Prose
Module 4: Distributed processing and scale
Module 4 Narrated Study Guide
Module 4 Rubric
Module 5: Metadata, lineage, and provenance
Module 5 Book Prose
Module 5: Metadata, lineage, and provenance
Module 5 Narrated Study Guide
Module 5 Rubric
Module 6: Cloud integration and cost control
Module 6 Book Prose
Module 6: Cloud integration and cost control
Module 6 Narrated Study Guide
Module 6 Rubric
Module 7: Security and access governance
Module 7 Book Prose
Module 7: Security and access governance
Module 7 Narrated Study Guide
Module 7 Rubric
Module 8: AI data platform readiness review
Module 8 Book Prose
Module 8: AI data platform readiness review
Module 8 Narrated Study Guide
Module 8 Rubric
Index