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Databricks Certified Data Engineer Associate Exam Prep 2023

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Databricks Certified Data Engineer Associate 2023 V3 Exam Guide | Databricks | Databricks Data Engineer Bootcamp


1. Introduction
  • 1. Introduction to this course
  • 2. Instructor overview
  • 3. Introduction to Databricks Data Engineer Associate
  • 4. Introduction to Databricks
  • 5. Course roadmap and curriculum
  • 6.1 Course Curriculum v2.pdf
  • 6. Course and exam curriculum.html
  • 7. Ways to reach out
  • 8. Keys to success
  • 9. Leave a rating
  • 10. Watch in 1080p

  • 2. S1 Data Lakehouse and Delta Lake in Databricks
  • 1. Databricks the Lakehouse Platform overview
  • 2. Delta lake
  • 3. Introduction to Unity Catalog
  • 4. Databricks and cloud provider
  • 5. Data engineering in Databricks
  • 6.1 Section 2 S1.pdf
  • 6. Slides.html

  • 3. S2. Data Science and Engineering workspaces in Databricks
  • 1. Create an account in Databricks
  • 2. Navigating the Databricks UI
  • 3. Databricks Cluster
  • 4. Create a Databricks Cluster
  • 5. Databricks Repos
  • 6.1 Databricks Github Link.txt
  • 6. Databricks Repos UI
  • 7.1 Databricks Github Link.txt
  • 7. Databricks Repos UI - PLS SEE THIS IF YOU CANNOT ACCESS THE REPO FROM THE LINK
  • 8. Databricks Notebooks
  • 9. Databricks Notebooks UI
  • 10.1 Databricks Github Link.txt
  • 10. Databricks notebook tutorials introduction
  • 11.1 Databricks Github Link.txt
  • 11. Databricks Notebooks DA tutorial
  • 12.1 Databricks Github Link.txt
  • 12. DE 1.3 Getting started with Databricks lab
  • 13.1 Section 3 S2.pdf
  • 13. Slides.html

  • 4. S3. Relational entities (databases, tables, views) in Databricks
  • 1. Databricks workflows
  • 2. DE 2.1 Querying files directly demo
  • 3. DE 2.2 Querying files directly demo
  • 4.1 Section 4 S3.pdf
  • 4. Slides.html

  • 5. S4. ELT (Spark SQL and Python) in Databricks
  • 1. DE 2.3 Extract data
  • 2. DE 2.4 Cleaning data
  • 3. DE 2.5 Complex transformations
  • 4. DE 2.6 Reshape Data Lab
  • 5. DE 2.7A SQL UDFs
  • 6. DE 2.99 Higher order functions
  • 7. DE 2.7B Python UDFs
  • 8. Module 2.0 Summary
  • 9. DE 3.1 Schemas and Tables
  • 10. DE 3.2 - Version and Optimize Delta Tables
  • 11. DE 3.3L - Manipulate Delta Tables Lab
  • 12. DE 3.4 - Set Up Delta Tables
  • 13. DE 3.5 - Load Data into Delta Lake
  • 14. DE 3.6L - Load Data Lab
  • 15. Module 3.0 Summary
  • 16.1 Section 5 S4.pdf
  • 16. Slides.html

  • 6. S5. Structured Streaming and Delta Live Tables in Databricks
  • 1. Structured Streaming
  • 2. Delta Live Tables Part 1
  • 3. Delta Live Tables Part 2
  • 4. DE 4.1 - DLT UI Walkthrough
  • 5. DE 4.1.1 - Orders Pipeline
  • 6. DE 4.1.2 - Customers Pipeline
  • 7. DE 4.1.3 - Status Pipeline
  • 8. DE 4.2 - Python vs SQL
  • 9. DE 4.3 - Pipeline Results
  • 10. DE 4.4 - Pipeline Event Logs
  • 11. DE 4.99 - Land New Data
  • 12. Module 4.0 Summary
  • 13.1 Section 6 S5.pdf
  • 13. Slides.html

  • 7. S6. Navigating Workflows and Production Pipelines in Databricks
  • 1. DE 5.1.1 - Task Orchestration
  • 2. DE 5.2.1L - Lab Instructions Part 1
  • 3. DE 5.2.1L - Lab Instructions Part 2
  • 4. Module 5.0 Summary
  • 5.1 Section 7 S6.pdf
  • 5. Slides.html

  • 8. S7. Unity Catalog & Entity Permissions in Databricks
  • 1. Understanding Unity Catalog
  • 2. External tables on Unity Catalog
  • 3.1 Section 8 S7.pdf
  • 3. Slides.html

  • 9. S8. Discover and manage data using Data Explorer in Databricks
  • 1. Managing permissions with Data Explorer UI
  • 2.1 Section 9 S8.pdf
  • 2. Slides.html

  • 10. S9. Navigating Databricks SQL
  • 1. How to create a SQL warehouse
  • 2. DE 7.1 - Navigating Databricks SQL and Attaching to Warehouses
  • 3. DE 7.2 - Last Mile ETL with DBSQL
  • 4. Module 7.0 Summary
  • 5.1 Section 10 S9.pdf
  • 5. Slides.html

  • 11. Exam Preparation
  • 1.1 PracticeExam-DataEngineerAssociate.pdf
  • 1. Official Databricks Practice Exam.html

  • 12. Conclusion
  • 1. Congratulations
  • 2. Next steps
  • 3. Ways to reach out and contact me

  • 13. Bonus
  • 1. Bonus
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