Modern Data Architecture - Design, Scale and Defend It

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• Get Bonus Downloads Here.url (0.2 KB)
~Get Your Files Here ! 1 - What Architects Actually Do — Deciding, Not Building
• 1. Module 1 Check What Architects Actually Do — Deciding, Not Building.html (24.6 KB)
• 1. The Architect's Job Deciding Under Uncertainty vs. Building the Right Thing.mp4 (22.4 MB)
• 2. Reading the Real Problem Requirements & Constraints — Latency, Cost, Compliance, Skills, Timeline.mp4 (26.4 MB)
• 3. Build vs. Buy vs. Compose The Core Architecture Decision Framework.mp4 (22.3 MB)
• 4. Speaking to Power The CFO CISO CTO Trade-off Conversation.mp4 (23.4 MB)
10 - Transformation Architecture ELT, Medallion & the dbt Paradigm
• 10. Module 10 Check Transformation Architecture ELT, Medallion & the dbt Paradigm.html (23.8 KB)
• 44. ETL vs ELT Why the T Moved (Compute-Where-the-Data-Is).mp4 (26.9 MB)
• 45. The Medallion Pattern Bronze Silver Gold (and What Each Layer Guarantees).mp4 (33.8 MB)
• 46. The dbt Paradigm Transformation as Code (Modularity, Tests, Docs, Lineage).mp4 (26.9 MB)
• 47. Data Contracts as Code (Bridge to M13 Quality and M11 DataOps).mp4 (23.2 MB)
• 48. Idempotency & Reprocessing in Transforms (Safe Re-Runs; Callback M08).mp4 (39.0 MB)
11 - DataOps & Platform Engineering — Where Architects Become Engineering Leaders
• 11. Module 11 Check DataOps & Platform Engineering — Where Architects Become Engineering Leaders.html (23.9 KB)
• 49. Why DataOps The Discipline That Separates Architects From Pipeline-Builders.mp4 (25.1 MB)
• 50. CI CD for Data Pipelines Testing in the Pipeline & Deploy Gates.mp4 (23.7 MB)
• 51. Infrastructure as Code & GitOps The Platform as Version-Controlled Code.mp4 (24.0 MB)
• 52. Environment Promotion dev → staging → prod (Data + Schema + Config).mp4 (32.3 MB)
• 53. Blue Green vs Canary for Data Deployment Strategies & the Path to Observability.mp4 (28.1 MB)
12 - Orchestration, Metadata & Lineage The Platform Operating System
• 12. Module 12 Check Orchestration, Metadata & Lineage The Platform Operating System.html (24.2 KB)
• 54. Orchestration Patterns DAGs & Dependency Management.mp4 (27.2 MB)
• 55. Scheduled vs Event-Driven Orchestration The Decision.mp4 (26.9 MB)
• 56. Metadata as the Platform's Nervous System.mp4 (25.7 MB)
• 57. Lineage Knowing What Breaks What (Impact Analysis).mp4 (27.1 MB)
• 58. The Catalog Discovery & Governance Hub.mp4 (35.1 MB)
13 - Data Quality & Contracts How Much Quality Is Enough
• 13. Module 13 Check Data Quality & Contracts How Much Quality Is Enough.html (24.1 KB)
• 59. The Cost of Bad Data Why Trust Is the Product.mp4 (19.8 MB)
• 60. Shift-Left Testing Catch It at the Producer.mp4 (21.6 MB)
• 61. Data Contracts The Producer-vs-Consumer Agreement.mp4 (25.9 MB)
• 62. Schema Evolution & Breaking Changes Versioning & Compatibility.mp4 (31.2 MB)
• 63. Quality SLAs How Much Is Enough & Where to Enforce.mp4 (28.6 MB)
14 - Security & Governance How Much Security Is Enough
• 14. Module 14 Check Security & Governance How Much Security Is Enough.html (25.0 KB)
• 64. The Access Architecture RBAC vs ABAC vs RLS — Which Model Fits.mp4 (32.1 MB)
• 65. Policy as Code Governance That Scales and Survives an Audit.mp4 (22.4 MB)
• 66. Federated Governance Governing Without a Monolithic Team.mp4 (25.8 MB)
• 67. Compliance by Design PII, Retention & the Right to Be Forgotten.mp4 (25.0 MB)
• 68. How Much Security Is Enough The Friction vs Risk Decision.mp4 (33.1 MB)
15 - Cost Architecture Designing to a Budget
• 15. Module 15 Check Cost Architecture Designing to a Budget.html (24.6 KB)
• 69. Cost Is an Architectural Decision, Not an Afterthought.mp4 (22.0 MB)
• 70. Storage Economics Hot, Warm, Cold, and the 5x Retention Tax.mp4 (25.1 MB)
• 71. Compute & Query Economics Why Bigger Can Cost Less.mp4 (30.3 MB)
• 72. Data Transfer & the Egress Trap The Line Nobody Charts.mp4 (19.3 MB)
• 73. Query & Workload Cost Patterns When Denormalization Is Cheaper.mp4 (24.1 MB)
• 74. Architecture Review #3 The Cost Estimation Workshop.mp4 (41.0 MB)
16 - Performance Architecture Tuning by Workload
• 16. Module 16 Check Performance Architecture Tuning by Workload.html (25.2 KB)
• 75. There Is No Fast — Only Fast For A Workload.mp4 (30.5 MB)
• 76. BI Workloads Clustering, Materialization & Result Caching.mp4 (25.4 MB)
• 77. ETL Workloads Throughput, Parallelism & File Sizing.mp4 (27.8 MB)
• 78. Ad-hoc & Data-Science Workloads Isolation & Elasticity.mp4 (26.4 MB)
• 79. Partitioning, Clustering & Caching as a Cost + Performance Lever.mp4 (27.4 MB)
17 - The Serving Layer BI, Semantic Layer, Reverse ETL & Data APIs
• 17. Module 17 Check The Serving Layer BI, Semantic Layer, Reverse ETL & Data APIs.html (24.0 KB)
• 80. The Many Faces of 'Serving' Who Consumes Your Data and How.mp4 (24.6 MB)
• 81. The Semantic Layer Wars Looker vs dbt Semantic Layer vs Cube.mp4 (27.2 MB)
• 82. Reverse ETL Operational Analytics (Pushing Warehouse Data Back to the Tools).mp4 (22.8 MB)
• 83. Data APIs & Data-as-a-Product Serving.mp4 (33.5 MB)
18 - Reliability, Scale & Multi-Region DR
• 18. Module 18 Check Reliability, Scale & Multi-Region DR.html (24.0 KB)
• 84. SLAs, SLOs & Error Budgets for Data Choosing the Number.mp4 (27.7 MB)
• 85. Observability & Incident Response Detect → Diagnose → Recover.mp4 (20.0 MB)
• 86. Scaling Patterns — Vertical, Horizontal & Elastic The Decision by Workload.mp4 (29.3 MB)
• 87. Multi-Region & Disaster Recovery RPO RTO as Architecture.mp4 (23.8 MB)
• 88. Tenancy — Single vs Multi-Tenant Isolation vs Efficiency.mp4 (22.7 MB)
19 - Data Mesh & Data Products Decentralizing Without Chaos
• 19. Module 19 Check Data Mesh & Data Products Decentralizing Without Chaos.html (24.1 KB)
• 89. The Four Principles of Data Mesh Decentralizing Without Chaos.mp4 (27.2 MB)
• 90. What Is a Data Product Boundaries, Contracts, SLOs & Discoverability.mp4 (27.1 MB)
• 91. The Data Product Lifecycle Discover → Design → Build → Publish → Operate → Retire.mp4 (26.7 MB)
• 92. The Self-Serve Data Platform Enabling Domains Without Centralizing.mp4 (24.0 MB)
• 93. When Mesh Fails The Mesh That Became a Mess (and When NOT to Adopt It).mp4 (19.7 MB)
2 - The Evolution of Data Architecture (Which Wins When)
• 2. Module 2 Check The Evolution of Data Architecture (Which Wins When).html (24.