Databricks Certified Data Engineer Professional -Preparation
Databricks Certified Data Engineer Professional -Preparation, available at $84.99, has an average rating of 4.57, with 35 lectures, based on 1191 reviews, and has 11006 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone aiming to pass the Databricks Data Engineer Professional certification exam or Junior Data Engineers on Databricks wanting to gain the skills of Professional Data Engineers It is particularly useful for Anyone aiming to pass the Databricks Data Engineer Professional certification exam or Junior Data Engineers on Databricks wanting to gain the skills of Professional Data Engineers.
Enroll now: Databricks Certified Data Engineer Professional -Preparation
Summary
Title: Databricks Certified Data Engineer Professional -Preparation
Price: $84.99
Average Rating: 4.57
Number of Lectures: 35
Number of Published Lectures: 35
Number of Curriculum Items: 35
Number of Published Curriculum Objects: 35
Original Price: €94.99
Quality Status: approved
Status: Live
What You Will 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 Should Attend
- 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
Target Audiences
- 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
If you are interested in becoming a Certified Data Engineer Professional from Databricks, you have come to the right place! This study guide will help you with preparing for this certification exam.
By the end of this course, you should be able to:
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Model data management solutions, including:
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Lakehouse (bronze/silver/gold architecture, tables, views, and the physical layout)
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General data modeling concepts (constraints, lookup tables, slowly changing dimensions)
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Build data processing pipelines using the Spark and Delta Lake APIs, including:
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Building batch-processed ETL pipelines
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Building incrementally processed ETL pipelines
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Deduplicating data
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Using Change Data Capture (CDC) to propagate changes
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Optimizing workloads
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Understand how to use and the benefits of using the Databricks platform and its tools, including:
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Databricks CLI (deploying notebook-based workflows)
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Databricks REST API (configure and trigger production pipelines)
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Build production pipelines using best practices around security and governance, including:
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Managing clusters and jobs permissions with ACLs
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Creating row- and column-oriented dynamic views to control user/group access
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Securely delete data as requested according to GDPR & CCPA
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Configure alerting and storage to monitor and log production jobs, including:
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Recording logged metrics
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Debugging errors
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Follow best practices for managing, testing and deploying code, including:
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Relative imports
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Scheduling Jobs
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Orchestration Jobs
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With the knowledge you gain during this course, you will be ready to take the certification exam.
I am looking forward to meeting you!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Course Overview
Lecture 2: Course Materials
Lecture 3: Scenario Walkthrough
Chapter 2: Modeling Data Management Solutions
Lecture 1: Bronze Ingestion Patterns
Lecture 2: Multiplex Bronze (Hands On)
Lecture 3: Streaming from Multiplex Bronze (Hands On)
Lecture 4: Quality Enforcement (Hands On)
Lecture 5: Streaming Deduplication (Hands On)
Lecture 6: Slowly Changing Dimensions
Lecture 7: Type 2 SCD (Hands On)
Chapter 3: Data Processing
Lecture 1: Change Data Capture
Lecture 2: Processing CDC Feed (Hands On)
Lecture 3: Delta lake CDF
Lecture 4: CDF (Hands On)
Lecture 5: Stream-Stream Joins (Hands On)
Lecture 6: Stream-Static Join
Lecture 7: Stream-Static Join (Hands On)
Lecture 8: Materialized Gold Tables (Hands On)
Chapter 4: Improving Performance
Lecture 1: Partitioning Delta Lake Tables
Lecture 2: Partitioning (Hands On)
Lecture 3: Delta Lake Transaction Log
Lecture 4: Transaction Log (Hands On)
Lecture 5: Auto Optimize
Chapter 5: Databricks Tooling
Lecture 1: Databricks Jobs (Hands On)
Lecture 2: Advanced Jobs Configurations (Hands On)
Lecture 3: Troubleshooting Jobs failures (Hands On)
Lecture 4: REST API (Hands On)
Lecture 5: Databricks CLI (Hands On)
Chapter 6: Security and Governance
Lecture 1: Propagating Deletes (Hands On)
Lecture 2: Dynamic Views (Hands On)
Chapter 7: Testing and Deployment
Lecture 1: Relative Imports (Hands On)
Lecture 2: Data Pipeline Testing
Chapter 8: Monitoring and Logging
Lecture 1: Managing Clusters
Chapter 9: Certification Overview
Lecture 1: Certification Overview
Lecture 2: Bonus Lecture
Instructors
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Derar Alhussein | 8x Databricks Certified
Senior Data Engineer, Databricks Beacon, & O’Reilly Author
Rating Distribution
- 1 stars: 8 votes
- 2 stars: 12 votes
- 3 stars: 76 votes
- 4 stars: 390 votes
- 5 stars: 705 votes
Frequently Asked Questions
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