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:

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!

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

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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