Databricks Certified Data Engineer Professional -Preparation

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Derar Alhussein

2:36:11

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1. Introduction

1. Course Overview.mp4

02:26

2. Modeling Data Management Solutions

1. Bronze Ingestion Patterns.mp4

02:39

2. Multiplex Bronze (Hands On).mp4

06:03

3. Streaming from Multiplex Bronze (Hands On).mp4

04:07

4. Quality Enforcement (Hands On).mp4

06:18

5. Streaming Deduplication (Hands On).mp4

06:26

6. Slowly Changing Dimensions.mp4

04:08

7. Type 2 SCD (Hands On).mp4

06:09

3. Data Processing

1. Change Data Capture (Hands On).mp4

07:25

2. Delta lake CDF.mp4

04:47

3. CDF (Hands On).mp4

05:30

4. Stream-Stream Joins (Hands On).mp4

04:20

5. Stream-Static Join.mp4

03:15

6. Stream-Static Join (Hands On).mp4

04:07

7. Materialized Gold Tables (Hands On).mp4

04:32

4. Improving Performance

1. Partitioning Delta Lake Tables.mp4

05:03

2. Partitioning (Hands On).mp4

02:53

3. Delta Lake Transaction Log.mp4

04:43

4. Transaction Log (Hands On).mp4

06:03

5. Auto Optimize.mp4

03:32

5. Databricks Tooling

1. Databricks Jobs (Hands On).mp4

08:24

2. Advanced Jobs Configurations (Hands On).mp4

04:58

3. Troubleshooting Jobs failures (Hands On).mp4

04:21

4. REST API (Hands On).mp4

10:04

5. Databricks CLI (Hands On).mp4

08:46

6. Security and Governance

1. Propagating Deletes (Hands On).mp4

06:52

7. Testing and Deployment

1. Relative Imports (Hands On).mp4

09:23

8. Monitoring and Logging

1. Managing Clusters.mp4

08:57

9. Certification Overview

1. Certification Overview.html

Description

Preparation course for Databricks Data Engineer Professional certification exam with hands-on training

What You'll Learn?

Learn how to model data management solutions on Databricks Lakehouse
Build data processing pipelines using the Spark and Delta Lake APIs
Understand how to use and the benefits of using the Databricks platform and its tools
Build production pipelines using best practices around security and governance
Learn how to monitor and log production jobs
Follow best practices for deploying code on Databricks

Who is this for?

Anyone aiming to pass the Databricks Data Engineer Professional certification exam

Junior Data Engineers on Databricks wanting to gain the skills of Professional Data Engineers

More details

Description
If you are interested in becoming a Certified Data Engineer Professional from Databricks, you have come to the right place! I am here to helping you with preparing for this certification exam.

By the end of this course, you should be able to:
Model data management solutions, including:
Lakehouse (bronze/silver/gold architecture, tables, views, and the physical layout)
General data modeling concepts (constraints, lookup tables, slowly changing dimensions)
Build data processing pipelines using the Spark and Delta Lake APIs, including:
Building batch-processed ETL pipelines
Building incrementally processed ETL pipelines
Deduplicating data
Using Change Data Capture (CDC) to propagate changes
Optimizing workloads
Understand how to use and the benefits of using the Databricks platform and its tools, including:
Databricks CLI (deploying notebook-based workflows)
Databricks REST API (configure and trigger production pipelines)
Build production pipelines using best practices around security and governance, including:
Managing clusters and jobs permissions with ACLs
Creating row- and column-oriented dynamic views to control user/group access
Securely delete data as requested according to GDPR & CCPA
Configure alerting and storage to monitor and log production jobs, including:
Recording logged metrics
Debugging errors
Follow best practices for managing, testing and deploying code, including:
Relative imports
Scheduling Jobs
Orchestration Jobs

With the knowledge you gain during this course, you will be ready to take the certification exam.
I am looking forward to meeting you!
Who this course is for:
Anyone aiming to pass the Databricks Data Engineer Professional certification exam
Junior Data Engineers on Databricks wanting to gain the skills of Professional Data Engineers

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I am senior big data engineer with a master’s degree in data mining, based and working in France. I have over 10 years of experience working on software and data projects, including large data projects on Databricks.I hold 6 certifications from DatabricksPlease feel free to follow me on Linked

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