Udemy - Databricks Data Engineering with DLT and Lakeflow Pipelines

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Udemy - Databricks Data Engineering with DLT and Lakeflow Pipelines (Size: 3.1 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ~Get Your Files Here !
  1 - Introduction to Delta Live Tables and Lakeflow Pipelines
  1 - Introduction to Delta Live Tables (DLT) in Databricks (Description).html 921.6 B
  1 - Introduction to Delta Live Tables (DLT) in Databricks.mp4 72 MB
  10 - Building Dynamic and Parameterized DLT Pipelines
  11 - Recent Updates in Lakeflow Declarative Pipelines
  2 - Exploring the DLT Development Environment
  3 - Building and Running Your First DLT Pipeline
  10 - Running the DLT Pipeline and Generating Final Results (Description).html 819.2 B
  10 - Running the DLT Pipeline and Generating Final Results.mp4 168.1 MB
  4 - Building Streaming Data Pipelines with Auto Loader
  11 - Building Streaming Pipelines from Files using Auto Loader Lesson 1 (Description).html 921.6 B
  11 - Building Streaming Pipelines from Files using Auto Loader Lesson 1.mp4 88 MB
  12 - Building Streaming Pipelines from Files using Auto Loader Lesson 2 (Description).html 819.2 B
  12 - Building Streaming Pipelines from Files using Auto Loader Lesson 2.mp4 84.4 MB
  13 - Building Streaming Pipelines from Files using Auto Loader Lesson 3 (Description).html 819.2 B
  13 - Building Streaming Pipelines from Files using Auto Loader Lesson 3.mp4 77.5 MB
  14 - Building Streaming Pipelines from Files using Auto Loader Lesson 4 (Description).html 819.2 B
  14 - Building Streaming Pipelines from Files using Auto Loader Lesson 4.mp4 204.2 MB
  5 - Building Unified Streaming Tables with Append Flows
  15 - Building Unified Streaming Tables with DLT Append Flows Lesson 1 (Description).html 819.2 B
  15 - Building Unified Streaming Tables with DLT Append Flows Lesson 1.mp4 112.9 MB
  16 - Building Unified Streaming Tables with DLT Append Flows Lesson 2 (Description).html 819.2 B
  16 - Building Unified Streaming Tables with DLT Append Flows Lesson 2.mp4 97.3 MB
  17 - Building Unified Streaming Tables with DLT Append Flows Lesson 3 (Description).html 819.2 B
  17 - Building Unified Streaming Tables with DLT Append Flows Lesson 3.mp4 84.2 MB
  18 - Building Unified Streaming Tables with DLT Append Flows Lesson 4 (Description).html 819.2 B
  18 - Building Unified Streaming Tables with DLT Append Flows Lesson 4.mp4 47.9 MB
  6 - Change Data Capture with Auto CDC Flow
  19 - Understanding DLT Auto CDC Flow Lesson 1 (Description).html 819.2 B
  19 - Understanding DLT Auto CDC Flow Lesson 1.mp4 73.3 MB
  20 - Understanding DLT Auto CDC Flow Lesson 2 (Description).html 819.2 B
  20 - Understanding DLT Auto CDC Flow Lesson 2.mp4 80.9 MB
  7 - Managing Slowly Changing Dimensions Type 1
  21 - Implementing Slowly Changing Dimension Type 1 Lesson 1 (Description).html 921.6 B
  21 - Implementing Slowly Changing Dimension Type 1 Lesson 1.mp4 103.7 MB
  22 - Implementing Slowly Changing Dimension Type 1 Lesson 2 (Description).html 819.2 B
  22 - Implementing Slowly Changing Dimension Type 1 Lesson 2.mp4 98.4 MB
  23 - Implementing Slowly Changing Dimension Type 1 Lesson 3 (Description).html 819.2 B
  23 - Implementing Slowly Changing Dimension Type 1 Lesson 3.mp4 117.2 MB
  8 - Managing Slowly Changing Dimensions Type 2
  24 - Implementing Slowly Changing Dimension Type 2 Lesson 1 (Description).html 921.6 B
  24 - Implementing Slowly Changing Dimension Type 2 Lesson 1.mp4 98.7 MB
  25 - Implementing Slowly Changing Dimension Type 2 Lesson 2 (Description).html 921.6 B
  25 - Implementing Slowly Changing Dimension Type 2 Lesson 2.mp4 107.4 MB
  9 - Ensuring Data Quality in Delta Live Tables
  26 - Ensuring Data Quality in Delta Live Tables (Description).html 819.2 B
  26 - Ensuring Data Quality in Delta Live Tables.mp4 71.6 MB
  27 - Enforcing Data Quality with Expectations in Delta Live Tables Lesson 1 (Description).html 921.6 B
  27 - Enforcing Data Quality with Expectations in Delta Live Tables Lesson 1.mp4 149.6 MB
  28 - Enforcing Data Quality with Expectations in Delta Live Tables Lesson 2 (Description).html 921.6 B
  28 - Enforcing Data Quality with Expectations in Delta Live Tables Lesson 2.mp4 70.1 MB
  4 - Exploring the DLT Code Editor in Databricks Lesson 1 (Description).html 819.2 B
  4 - Exploring the DLT Code Editor in Databricks Lesson 1.mp4 129.7 MB
  5 - Exploring the DLT Code Editor in Databricks Lesson 2 (Description).html 819.2 B
  5 - Exploring the DLT Code Editor in Databricks Lesson 2.mp4 151.5 MB
  6 - Exploring the DLT Code Editor in Databricks Lesson 3 (Description).html 819.2 B
  6 - Exploring the DLT Code Editor in Databricks Lesson 3.mp4 231.6 MB
  7 - Understanding DLT Building Blocks Lesson 1 (Description).html 819.2 B
  7 - Understanding DLT Building Blocks Lesson 1.mp4 151.1 MB
  8 - Understanding DLT Building Blocks Lesson 2 (Description).html 819.2 B
  8 - Understanding DLT Building Blocks Lesson 2.mp4 154.6 MB
  9 - Understanding DLT Building Blocks Lesson 3 (Description).html 819.2 B
  9 - Understanding DLT Building Blocks Lesson 3.mp4 108.8 MB
  30 - Recent Updates in Lakeflow Declarative Pipelines (Description).html 921.6 B
  30 - Recent Updates in Lakeflow Declarative Pipelines.mp4 81.5 MB
  29 - Building Dynamic DLT Pipelines with Parameters (Description).html 819.2 B
  29 - Building Dynamic DLT Pipelines with Parameters.mp4 125.1 MB
  2 - Project Files.html 5.5 KB
  3 - Databricks Interface Updates - A Transition Guide Between Old and New Formats (Description).html 921.6 B
  3 - Databricks Interface Updates - A Transition Guide Between Old and New Formats.mp4 30.4 MB

Description


Databricks Data Engineering with DLT & Lakeflow Pipelines
https://WebToolTip.com
Published 8/2026

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch

Language: English | Duration: 4h 20m | Size: 3.1 GB
Databricks | Master streaming pipelines, Auto Loader, CDC, SCD Type 1/2 & data quality governance with Delta Live Tables
What you'll learn

Build and manage production-ready Delta Live Tables (DLT) and Lakeflow Declarative Pipelines from scratch

Ingest file-based live streaming data using Auto Loader

Handle schema inference and schema evolution in production environments

Merge multi-source data streams into unified tables using Append Flows architecture

Capture real-time source changes with Change Data Capture (CDC) and Auto CDC Flow

Implement enterprise SCD Type 1 and SCD Type 2 architectures on DLT

Set up automated data quality rules and isolate bad data using DLT Expectations

Build dynamic, parameter-driven pipelines that adapt at runtime

Optimize pipeline performance and manage workspace costs

Monitor pipeline health, lineage, and handle production errors
Requirements

A basic understanding of SQL or Python is enough for you to grasp data querying logic easily.

A general familiarity with foundational data engineering concepts, such as ETL, databases, and table structures, is required.

Prior familiarity with the Databricks interface is an advantage; however, it is not mandatory thanks to the orientation lessons included in the course.

A computer with an internet connection is all you need to follow the hands-on applications; no local software installation is required.

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