| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Welcome to the Lakehouse The 2026 Platform Map | |||
| 1 - The Platform in One Picture Lakehouse, Workspaces, and Where Everything Lives.mp4 | 30.6 MB | ||
| 2 - Compute Decoded Clusters, SQL Warehouses, and Serverless.mp4 | 14.8 MB | ||
| 3 - Meet SNOWMART The Retail Platform You Will Build.mp4 | 13.3 MB | ||
| 4 - Azure Deployment Reality Workspaces, Entra ID, and Landing Zones.mp4 | 16.2 MB | ||
| Course_Resources | |||
| README.md | 1.8 KB | ||
| capstone | |||
| 01_ingestion_bronze_gold.py | 4.5 KB | ||
| 02_governance_quality_observability.py | 4.2 KB | ||
| 03_orchestration_cicd.yaml | 3.8 KB | ||
| 04_analytics_ai_cost.sql | 3.4 KB | ||
| README.md | 6.1 KB | ||
| exercises | |||
| module_01_platform_setup.md | 4 KB | ||
| module_02_delta_lake_foundation.sql | 4.1 KB | ||
| module_03_medallion_pipeline.sql | 5.5 KB | ||
| module_04_scd_implementations.sql | 5.2 KB | ||
| module_05_pyspark_dataframe_mastery.py | 4.2 KB | ||
| module_06_autoloader.py | 3.3 KB | ||
| module_06_copy_into_and_connections.sql | 3.8 KB | ||
| module_07_structured_streaming.py | 5.1 KB | ||
| module_08_lakeflow_declarative_pipelines.sql | 5.1 KB | ||
| module_09_unity_catalog_governance.sql | 5.7 KB | ||
| module_10_databricks_sql_dashboards_genie.sql | 5.9 KB | ||
| module_11_liquid_clustering_layout.sql | 4.7 KB | ||
| module_12_photon_aqe_skew_diagnostics.sql | 5.8 KB | ||
| module_13_production_jobs_workflows.yaml | 5.4 KB | ||
| module_14_cicd_asset_bundles_terraform.md | 7.8 KB | ||
| module_15_observability.sql | 3.5 KB | ||
| module_16_cost_forensics.sql | 3.8 KB | ||
| module_17_security_sharing.md | 5.2 KB | ||
| module_18_mosaic_ai.py | 6 KB | ||
| module_19_mlflow_production.py | 4.6 KB | ||
| module_20_architects_lens.md | 4.6 KB | ||
| setup | |||
| environment_setup.md | 4.7 KB | ||
| slide_code | |||
| 2005_all_json.json | 1.7 KB | ||
| 2005_all_py.py | 23.6 KB | ||
| 2005_all_sh.sh | 1.5 KB | ||
| 2005_all_slide_notes.txt | 1.1 KB | ||
| 2005_all_yaml.yaml | 4.7 KB | ||
| module_01_json.json | 819.2 B | ||
| module_01_sh.sh | 614.4 B | ||
| module_02_py.py | 1.3 KB | ||
| module_05_py.py | 6.7 KB | ||
| module_06_py.py | 2.3 KB | ||
| module_07_py.py | 5.4 KB | ||
| module_08_py.py | 1.1 KB | ||
| module_12_py.py | 1 KB | ||
| module_13_json.json | 716.8 B | ||
| module_13_py.py | 819.2 B | ||
| module_13_yaml.yaml | 2.5 KB | ||
| module_14_py.py | 1.8 KB | ||
| module_14_sh.sh | 1.2 KB | ||
| module_14_slide_notes.txt | 819.2 B | ||
| module_14_yaml.yaml | 1.1 KB | ||
| module_15_py.py | 819.2 B | ||
| module_16_json.json | 716.8 B | ||
| module_16_yaml.yaml | 819.2 B | ||
| module_17_py.py | 819.2 B | ||
| module_18_py.py | 4.4 KB | ||
| module_19_py.py | 1.7 KB | ||
| module_20_py.py | 716.8 B | ||
| module_20_slide_notes.txt | 512 B | ||
| module_21_py.py | 1.9 KB | ||
| module_21_yaml.yaml | 1.5 KB | ||
| slide_queries | |||
| 10 - Databricks SQL, Warehouses, AI BI Dashboards and Genie | |||
| 11 - Delta Optimization I Liquid Clustering and Layout Decisions | |||
| 12 - Advanced Delta Optimization Photon, AQE, Skew, Diagnostics | |||
| 13 - Production Jobs and Workflows Scheduling, Parameters, Alerts | |||
| 14 - CI CD Asset Bundles, Terraform, and the Testing Pyramid | |||
| 15 - Observability with System Tables and Lakehouse Monitoring | |||
| 16 - Cost Optimization and FinOps Forensics | |||
| 17 - Security, Sharing and Collaboration | |||
| 18 - Mosaic AI for Data Engineers Vector Search, Serving, Agents | |||
| 19 - MLflow in Production | |||
| 2 - Delta Lake Foundation ACID, Time Travel, Deletion Vectors, UniForm | |||
| 20 - The Architect's Lens Decisions, Anti-Patterns, Azure, Exam Traps | |||
| 21 - Playbook Capstone The SNOWMART Enterprise Platform | |||
| 100 - Build Phase 2 Governance, Quality, and Observability.mp4 | 32.6 MB | ||
| 101 - Build Phase 3 Orchestration and CI CD.mp4 | 29.7 MB | ||
| 102 - Build Phase 4 Analytics, AI, and Cost Guardrails.mp4 | 27.6 MB | ||
| 103 - Ship It Review, Defend, and Portfolio Packaging.mp4 | 23.8 MB | ||
| 22 - Module Quizzes (Optional Review) | |||
| 1 - Module 1 Check.html | 24.3 KB | ||
| 10 - Module 10 Check.html | 25.1 KB | ||
| 11 - Module 11 Check.html | 25.2 KB | ||
| 12 - Module 12 Check.html | 26.2 KB | ||
| 13 - Module 13 Check.html | 25.3 KB | ||
| 14 - Module 14 Check.html | 26.1 KB | ||
| 15 - Module 15 Check.html | 24.4 KB | ||
| 16 - Module 16 Check.html | 24.7 KB | ||
| 17 - Module 17 Check.html | 24.8 KB | ||
| 18 - Module 18 Check.html | 25.6 KB | ||
| 19 - Module 19 Check.html | 25.3 KB | ||
| 2 - Module 2 Check.html | 26.1 KB | ||
| 20 - Module 20 Check.html | 25 KB | ||
| 21 - Module 21 Check.html | 25.9 KB | ||
| 3 - Module 3 Check.html | 26.6 KB | ||
| 3 - The Medallion Pipeline Bronze, Silver, Gold | |||
| 10 - Bronze Raw Ingestion with Full Fidelity.mp4 | 23.4 MB | ||
| 11 - Silver Cleansing, Conforming, and Quarantine Design.mp4 | 29.5 MB | ||
| 12 - Gold Business Aggregates Analysts Trust.mp4 | 17.2 MB | ||
| 13 - Medallion Anti-Patterns and When to Break the Rules.mp4 | 25.1 MB | ||
| 14 - Failure Clinic Rebuilding a Corrupted Layer Safely.mp4 | 23.1 MB | ||
| 4 - SCD Implementations on Delta Lake | |||
| 15 - SCD Type 1 Overwrite with Confidence.mp4 | 21.1 MB | ||
| 16 - SCD Type 2 with MERGE History That Survives Audits.mp4 | 14.6 MB | ||
| 17 - SCD at Scale Performance and Late-Arriving Dimensions.mp4 | 14.1 MB | ||
| 18 - Architect's Lens Choosing an SCD Strategy per Table.mp4 | 22.4 MB | ||
| 5 - PySpark DataFrame Mastery for Databricks Engineers | |||
| 19 - DataFrames Done Right Select, Filter, and Column Expressions.mp4 | 30.6 MB | ||
| 20 - Joins and Aggregations Without the Shuffle Biting You.mp4 | 35 MB | ||
| 21 - Window Functions for Real Analytics.mp4 | 26.4 MB | ||
| 22 - UDFs, Pandas UDFs, and When Native Functions Win.mp4 | 28.1 MB | ||
| 23 - Handling JSON and Nested Data.mp4 | 25.4 MB | ||
| 24 - Testing PySpark Unit Tests That Catch Real Bugs.mp4 | 27.4 MB | ||
| 6 - Ingestion with Lakeflow Connect and Auto Loader | |||
| 25 - The Ingestion Decision Matrix COPY INTO, Auto Loader, Lakeflow Connect.mp4 | 20.2 MB | ||
| 26 - Auto Loader Deep Dive Schema Inference and Evolution.mp4 | 24.6 MB | ||
| 27 - Auto Loader Operations Checkpoints, Backfills, and Rescued Data.mp4 | 15.3 MB | ||
| 28 - Lakeflow Connect Managed Connectors for Databases and SaaS.mp4 | 24.5 MB | ||
| 29 - File Formats and Landing-Zone Design.mp4 | 13 MB | ||
| 30 - Failure Clinic The Duplicate-Ingestion Incident.mp4 | 23.5 MB | ||
| 7 - Structured Streaming Deep Dive Watermarks, State, Exactly-Once | |||
| 31 - The Streaming Mental Model Micro-Batches and Triggers.mp4 | 27 MB | ||
| 32 - Watermarks and Late Data.mp4 | 26.7 MB | ||
| 33 - Stateful Operations Aggregations, Dedup, Stream Joins.mp4 | 27.3 MB | ||
| 34 - Exactly-Once Checkpoints, Idempotent Sinks, foreachBatch.mp4 | 27.8 MB | ||
| 35 - Streaming Operations and Monitoring.mp4 | 29.5 MB | ||
| 8 - Lakeflow Declarative Pipelines Essentials | |||
| 36 - Declarative vs Imperative Why Lakeflow DP Exists.mp4 | 33 MB | ||
| 37 - Your First Pipeline Streaming Tables and Materialized Views.mp4 | 26.3 MB | ||
| 38 - Expectations Data Quality as Code.mp4 | 23.5 MB | ||
| 39 - Pipeline Operations, and When to Go Deeper.mp4 | 24.2 MB | ||
| 9 - Unity Catalog Governance Namespace, Access, Lineage, ABAC | |||
| 40 - The Three-Level Namespace and Metastore Design.mp4 | 30.2 MB | ||
| 41 - Grants, Privileges, and the Permission Model.mp4 | 28.8 MB | ||
| 42 - Lineage, Discovery, and Certified Data.mp4 | 31.6 MB | ||
| 43 - ABAC, Row Filters, and Column Masks Governance at Scale.mp4 | 37.2 MB | ||
| 44 - Architect's Lens A Governance Rollout That Sticks.mp4 | 30.6 MB | ||
| 4 - Module 4 Check.html | 25.9 KB | ||
| 5 - Module 5 Check.html | 26.5 KB | ||
| 6 - Module 6 Check.html | 26.8 KB | ||
| 7 - Module 7 Check.html | 26.8 KB | ||
| 8 - Module 8 Check.html | 24.5 KB | ||
| 9 - Module 9 Check.html | 24.2 KB | ||
| 98 - Capstone Brief The SNOWMART Enterprise Platform.mp4 | 28.5 MB | ||
| 99 - Build Phase 1 Ingestion and Bronze to Gold.mp4 | 41.2 MB | ||
| 93 - The Decision Framework From Workload to Architecture.mp4 | 20.3 MB | ||
| 94 - Anti-Pattern Gallery Ten Designs That Fail in Production.mp4 | 13.1 MB | ||
| 95 - Azure Databricks Deployment Architecture.mp4 | 22 MB | ||
| 96 - Interview Mastery Defending Your Design.mp4 | 24.9 MB | ||
| 97 - Exam Traps The DE Associate and Professional Cluster.mp4 | 26 MB | ||
| 5 - Why Files Fail From Data-Lake Chaos to ACID Tables.mp4 | 28.2 MB | ||
| 6 - The Delta Log How Every Write Becomes a Transaction.mp4 | 24.9 MB | ||
| 7 - Time Travel and Versioning in Production.mp4 | 15 MB | ||
| 8 - Schema Enforcement and Evolution Without Breakage.mp4 | 14.9 MB | ||
| 9 - Deletion Vectors and UniForm Delta That Speaks Iceberg.mp4 | 34.3 MB | ||
| 89 - Experiment Tracking That Scales Past One Laptop.mp4 | 24.9 MB | ||
| 90 - The Model Registry and Unity Catalog Models.mp4 | 19.9 MB | ||
| 91 - Deployment Patterns Batch Scoring vs Real-Time.mp4 | 12.3 MB | ||
| 92 - MLOps Operations Monitoring and Retraining Loops.mp4 | 20 MB | ||
| 84 - The Mosaic AI Map What Data Engineers Actually Need.mp4 | 25.3 MB | ||
| 85 - Vector Search on Delta Tables.mp4 | 31.6 MB | ||
| 86 - Model Serving Endpoints Deploy and Query.mp4 | 25.9 MB | ||
| 87 - Building a RAG Pipeline on SNOWMART Reviews.mp4 | 27.5 MB | ||
| 88 - Agents and Genie Patterns for Data Teams.mp4 | 25.9 MB | ||
| 79 - Secrets, Service Principals, and Identity.mp4 | 32.4 MB | ||
| 80 - Network Security Essentials Private Link, IP Access Lists.mp4 | 25 MB | ||
| 81 - Delta Sharing Data Products Beyond Your Walls.mp4 | 29.1 MB | ||
| 82 - Clean Rooms and Marketplace.mp4 | 21 MB | ||
| 83 - Architect's Lens The Security Review You Must Pass.mp4 | 24.3 MB | ||
| 74 - The Databricks Bill Decoded DBUs, SKUs, and Cloud Costs.mp4 | 25.8 MB | ||
| 75 - Cost Forensics with System Tables.mp4 | 25.6 MB | ||
| 76 - The Seven Cost Anti-Patterns.mp4 | 24.2 MB | ||
| 77 - Tagging, Budgets, and Chargeback.mp4 | 12.4 MB | ||
| 78 - Cost Reality Capstone Cutting the SNOWMART Bill 40 Percent.mp4 | 19.2 MB | ||
| 69 - System Tables The Platform's Flight Recorder.mp4 | 10.8 MB | ||
| 70 - Lakehouse Monitoring Profile and Drift Metrics.mp4 | 10.1 MB | ||
| 71 - Building the Observability Dashboard.mp4 | 15.6 MB | ||
| 72 - Alerting Design Signals That Matter.mp4 | 10.2 MB | ||
| 73 - Failure Clinic Silent Data Loss Found in System Tables.mp4 | 20.6 MB | ||
| 65 - Repos and the Development Loop.mp4 | 14.8 MB | ||
| 66 - Databricks Asset Bundles Deploy as Code.mp4 | 23.5 MB | ||
| 67 - Terraform for Platform Teams.mp4 | 26.2 MB | ||
| 68 - The Testing Pyramid for Data Engineering.mp4 | 25.7 MB | ||
| 60 - From Notebook to Job The Production Mindset Shift.mp4 | 25 MB | ||
| 61 - Tasks, Dependencies, and Job Clusters.mp4 | 24.7 MB | ||
| 62 - Parameters, Retries, and Alerts.mp4 | 14.7 MB | ||
| 63 - Orchestration Patterns Fan-Out, Conditionals, Repair Runs.mp4 | 25.7 MB | ||
| 64 - Jobs vs External Orchestrators The Airflow ADF Decision.mp4 | 16.3 MB | ||
| 55 - Photon What It Accelerates and What It Doesn't.mp4 | 16.6 MB | ||
| 56 - Adaptive Query Execution in Practice.mp4 | 24.2 MB | ||
| 57 - Diagnosing Skew and Shuffle Pain.mp4 | 13.1 MB | ||
| 58 - Query Profiles Reading the Execution Story.mp4 | 12.4 MB | ||
| 59 - Failure Clinic The 4-Hour Query That Should Take 4 Minutes.mp4 | 25.9 MB | ||
| 51 - How Delta Reads Files, Statistics, and Pruning.mp4 | 21.6 MB | ||
| 52 - Liquid Clustering The End of Partition Guessing.mp4 | 13.3 MB | ||
| 53 - Predictive Optimization and Managed Maintenance.mp4 | 22.5 MB | ||
| 54 - The Layout Decision Matrix Partition vs Cluster vs Nothing.mp4 | 12.2 MB | ||
| 45 - SQL Warehouses Sizing, Scaling, Serverless.mp4 | 25.7 MB | ||
| 46 - Databricks SQL for Daily Work Queries, Alerts, History.mp4 | 11.3 MB | ||
| 47 - AI BI Dashboards Build and Publish.mp4 | 15.2 MB | ||
| 48 - Genie Natural-Language Analytics on SNOWMART.mp4 | 30.1 MB | ||
| 49 - Semantic Trust Certified Metrics and BI Governance.mp4 | 13.4 MB | ||
| 50 - Cost Reality The Runaway-Dashboard Incident.mp4 | 22.1 MB | ||
| 2005_all_queries.sql | 48.4 KB | ||
| module_01_queries.sql | 1.4 KB | ||
| module_02_queries.sql | 4.6 KB | ||
| module_03_queries.sql | 5.4 KB | ||
| module_04_queries.sql | 4.3 KB | ||
| module_06_queries.sql | 2.7 KB | ||
| module_08_queries.sql | 2.8 KB | ||
| module_09_queries.sql | 7.9 KB | ||
| module_10_queries.sql | 4 KB | ||
| module_11_queries.sql | 3.3 KB | ||
| module_12_queries.sql | 6.4 KB | ||
| module_14_queries.sql | 819.2 B | ||
| module_15_queries.sql | 3.5 KB | ||
| module_16_queries.sql | 4.2 KB | ||
| module_17_queries.sql | 5.3 KB | ||
| module_18_queries.sql | 921.6 B | ||
| module_19_queries.sql | 716.8 B | ||
| module_21_queries.sql | 4 KB |
Databricks Playbook: Operate, Govern & Defend the Lakehouse
https://WebToolTip.com
Published 7/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 8h 17m | Size: 2.31 GB
Delta Lake, Lakeflow, Unity Catalog, streaming, FinOps — build, operate, and defend a production Databricks lakehouse.
What you'll learn
Build a complete production lakehouse — ingestion, medallion layers, streaming, and governed analytics — on one enterprise retail scenario (SNOWMART).
Master Delta Lake internals: the transaction log, time travel, deletion vectors, UniForm/Iceberg interop, and liquid clustering.
Design and operate ingestion with Lakeflow Connect, Auto Loader, and Structured Streaming with exactly-once guarantees.
Implement all four SCD strategies (Type 1, Type 2 with MERGE, at-scale, and architect-level strategy selection) on real Delta tables.
Govern data with Unity Catalog: namespaces, grants, lineage, ABAC, row filters, and column masks.
Ship analytics with Databricks SQL, AI/BI dashboards, and Genie natural-language querying.
Operate the platform with system-table observability, lakehouse monitoring, and FinOps cost forensics.
Deploy with production discipline: Jobs and Workflows, Asset Bundles, Terraform, and the data engineering testing pyramid.
Extend the platform into AI: vector search, model serving, a RAG pipeline, and MLflow in production.
Defend architecture decisions with reusable decision matrices, anti-pattern awareness, and interview-grade reasoning.
Navigate Azure Databricks deployment architecture: workspaces, Entra ID, networking, and landing zones.
Diagnose and fix real performance problems: skew, shuffle pain, query profiles, Photon, and Adaptive Query Execution.
Requirements
Comfortable with SQL — joins, aggregations, and basic window functions.
Basic Python, ideally with some exposure to Spark or PySpark; deep expertise is not required.
A free Databricks Community/trial workspace or access to a company workspace (setup guide included).
No prior Unity Catalog, Delta Lake, or streaming experience needed — this course builds that from first principles.
A willingness to type the code and break things — every module is hands-on against a real workspace.
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Udemy - Databricks Spark Streaming, Delta Lake and SQL, AI Analytics Posted by
freecoursewb in Other
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| 287 MB | freecoursewb | 2 months | 4 | 1 |
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