Udemy - Become a Data Architect - Design, Decide and Defend Platforms

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3 GB
  • Uploaded Byfreecoursewb
  • Downloads48
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 0
  • Leechers17

Infohash : 7015335D96B11A5C4FE20D30EDB2D1146247BED6

Become a Data Architect: Design, Decide & Defend Platforms

https://WebToolTip.com

Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 9h 35m | Size: 3.03 GB

Become the architect who chooses the right platform, designs for cost and AI-readiness, and defends every decision.

What you'll learn
Choose between warehouse, lakehouse, data mesh, and fabric architectures using a trade-off matrix, not hype.
Decide ingestion (batch, incremental, CDC) and streaming-vs-batch patterns by latency, volume, and cost.
Architect a data platform for cost, performance, security, governance, and reliability with explicit budgets.
Design an AI-ready platform: feature stores, vector databases, RAG/agent serving, and AI governance.
Write Architecture Decision Records and run a 9-part architecture review that survives CFO/CISO/CTO scrutiny.
Apply a reusable Architect Toolkit (ADR, review, cost, AI-readiness, data-product, selection templates) on Monday.

Requirements
Comfortable with SQL and the basics of data warehousing/ETL (you've built or maintained pipelines).
Familiarity with at least one cloud data platform (Snowflake, Databricks, BigQuery, Redshift, or Fabric) helps but isn't required.
No specific tool install needed — this is a design-and-decisions course; concepts are vendor-neutral.

Files:

[ WebToolTip.com ] Udemy - Become a Data Architect - Design, Decide and Defend Platforms
  • 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 (33.3 MB)
    • 3 - Build vs. Buy vs. Compose The Core Architecture Decision Framework.mp4 (28.9 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 (34.3 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 (35.0 MB)
    • 55 - Scheduled vs Event-Driven Orchestration The Decision.mp4 (34.4 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 (27.5 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 (36.6 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 (28.1 MB)
    • 66 - Federated Governance Governing Without a Monolithic Team.mp4 (33.1 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 (30.3 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 (32.5 MB)
    • 77 - ETL Workloads Throughput, Parallelism & File Sizing.mp4 (27.8 MB)
    • 78 - Ad-hoc & Data-Science Workloads Isolation & Elasticity.mp4 (33.5 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 (32.1 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 (24.9 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 (29.1 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 (34.0 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)

Code:

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