Databricks Certified Data Engineer Associate Exam Prep 2023

Databricks Certified Data Engineer Associate Exam Prep 2023, available at $69.99, has an average rating of 3.94, with 83 lectures, based on 99 reviews, and has 1212 subscribers.

You will learn about Pass the Databricks Data Engineer Associate exam Understand and apply the concepts and topics covered in the Databricks Certified Data Engineer Associate certification. Gain a comprehensive understanding of Databricks as a Lakehouse platform and the benefits and advantage it provides. Discover the significance of Delta Lake in data engineering and its role in managing data. Develop your skills in Databricks data engineering tasks such as data ingestion, transformation and integration. Navigate and use the Databricks UI effectively, enabling efficient workflow and task execution. Explore how to effectively use the Unity Catalog to manage and organize data in Databricks. Create and configure a Databricks account, providing access to the platforms powerful data engineering capabilities. Learn how to setup and manage Databricks clusters to optimize data processing and utilize Databricks notebooks for data analysis and exploration. Understand key Delta Lake concepts such as schemas, tables, optimization and efficiently loading data. Gain data engineering techniques such as querying, data extraction and cleaning, and complex transformations within the Databricks environment. Explore Databricks advanced features such as structured streaming, Delta Live Tables, and SQL warehousing to enhance data processing and analysis capabilities. This course is ideal for individuals who are Data engineers and enthusiasts pursuing the Databricks Certified Data Engineer Associate certification as this course aligns with the certification requirements or Data engineers who want to enhance their knowledge and skills when working with Databricks for data engineering tasks. or Individuals who aspire to become data engineers and want to build a solid foundation in data engineering principles and techniques using Databricks or Individuals who want to get started on Databricks Lakehouse It is particularly useful for Data engineers and enthusiasts pursuing the Databricks Certified Data Engineer Associate certification as this course aligns with the certification requirements or Data engineers who want to enhance their knowledge and skills when working with Databricks for data engineering tasks. or Individuals who aspire to become data engineers and want to build a solid foundation in data engineering principles and techniques using Databricks or Individuals who want to get started on Databricks Lakehouse.

Enroll now: Databricks Certified Data Engineer Associate Exam Prep 2023

Summary

Title: Databricks Certified Data Engineer Associate Exam Prep 2023

Price: $69.99

Average Rating: 3.94

Number of Lectures: 83

Number of Published Lectures: 83

Number of Curriculum Items: 83

Number of Published Curriculum Objects: 83

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Pass the Databricks Data Engineer Associate exam

Understand and apply the concepts and topics covered in the Databricks Certified Data Engineer Associate certification.

Gain a comprehensive understanding of Databricks as a Lakehouse platform and the benefits and advantage it provides.

Discover the significance of Delta Lake in data engineering and its role in managing data.

Develop your skills in Databricks data engineering tasks such as data ingestion, transformation and integration.

Navigate and use the Databricks UI effectively, enabling efficient workflow and task execution.

Explore how to effectively use the Unity Catalog to manage and organize data in Databricks.

Create and configure a Databricks account, providing access to the platforms powerful data engineering capabilities.

Learn how to setup and manage Databricks clusters to optimize data processing and utilize Databricks notebooks for data analysis and exploration.

Understand key Delta Lake concepts such as schemas, tables, optimization and efficiently loading data.

Gain data engineering techniques such as querying, data extraction and cleaning, and complex transformations within the Databricks environment.

Explore Databricks advanced features such as structured streaming, Delta Live Tables, and SQL warehousing to enhance data processing and analysis capabilities.

Who Should Attend

Data engineers and enthusiasts pursuing the Databricks Certified Data Engineer Associate certification as this course aligns with the certification requirements

Data engineers who want to enhance their knowledge and skills when working with Databricks for data engineering tasks.

Individuals who aspire to become data engineers and want to build a solid foundation in data engineering principles and techniques using Databricks

Individuals who want to get started on Databricks Lakehouse

Target Audiences

Data engineers and enthusiasts pursuing the Databricks Certified Data Engineer Associate certification as this course aligns with the certification requirements

Data engineers who want to enhance their knowledge and skills when working with Databricks for data engineering tasks.

Individuals who aspire to become data engineers and want to build a solid foundation in data engineering principles and techniques using Databricks

Individuals who want to get started on Databricks Lakehouse

Are you ready to take Data Engineering to the next level?

Are you looking for a course to help you master data engineering with Databricks, or perhaps a guide to help you pass your upcoming Databricks Certified Data Engineer Associate exam? Look no further!

Join the Databricks revolution, where the world of data analytics and warehousing is being reshaped like never before.

Our curriculum is meticulously designed to cover all aspects of the Databricks Certified Data Engineer Associate exam, including data ingestion, data transformation, ETL processes, data modeling, and more. Discover how to optimize data pipelines and extract valuable insights from massive amounts of data.

Learn from over 8 hours of instructional video and practical samples created by a seasoned data engineering professionalwith real-world experience and a the Databricks Engineer Associate certification. Take advantage of their practical insights, best practices, and invaluable guidance as they guide you through the course.

What is this course all about?

Our primary goal is to equip you with the knowledge, skills, and strategies needed to ace the Databricks Certified Data Engineer Associate exam. We cover each topic mentioned in the guidelines in great detail, ensuring that you are well-prepared for every aspect of the exam. Our number 1 priority is to help you pass the exam.

What is Databricks?

Databricks is a cloud-based data and AI platform that provides a unified set of tools for developing, deploying, and maintaining large-scale data solutions. It works with cloud storage and security to manage and deploy cloud infrastructure on behalf of users. Databricks provides an integrated environment for data engineering, data science, and machine learning tasks. It was founded by the Apache Spark creators.

What is Databricks Certified Data Engineer Associate Certification?

The Databricks Certified Data Engineer Associate certification offered by Databricks Academy is intended to validate your skills in using the Databricks Lakehouse Platform for data engineering tasks. By obtaining this certification, you demonstrate your thorough understanding of the platform, its tools, and benefits.

What does the Databricks Certified Data Engineer Associate Certification cover?

Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including Data Lakehouses, Data Science and Engineering workspaces, Delta Lake

Build ETL pipelines using Apache Spark SQL and Python, including Relational Entities, ELT, Spark SQL, and Python

Incrementally process data, including Structured Streaming, Auto Loader, Multi-hop Architecture, Delta Live Tables

Build production pipelines for Data Engineering Applications and Databricks SQL queries and Dashboards, including Jobs and Dashboards

Understand and follow best security practices, including Unity Catalog and Entity Permissions

Why should you get the certification?

Get recognized– the Databricks Certified Data Engineer Associate Certification provides you with a valuable credential that will set you apart in the competitive field of data engineering.

Improve your data engineering skills – Databricks is the most widely used tool for unified data processing, analytics, and machine learning, with amazing performance and scalability

Increase your employability– Databricks has grown in popularity and widespread adoption across a wide range of industries; being proficient in Databricks places you at the forefront of industry demand and increases your marketability as a data professional.

Who are the instructor for this course?

This course will be taught by Henry Habib Learning:

Henry Habib – data consultant and online instructor for 100K+ students, focused on Azure and Databricks

Megan Ong– an Australian-based, data engineer and AI consultant who has a passion for teaching and helping people reach their goals

Why choose this course?

Comprehensive Guide:  This course provides comprehensive coverage of all the topics you need to know for the Databricks Certified Data Engineer Associate certification exam.  With over 8 hours of instructional content, it offers in-depth preparation for the exam.

Tailored for Success:  The course is specifically designed to address the key details of the examination, ensuring that we cover all the topics, skills, and knowledge required for the Databricks Data Engineer Certification exam.

Hands-on approach: In addition to covering key topics, our course takes a fully instructional approach. We don’t just explain the theoretical aspects and features, we actively apply them by building applications together.

Instructor assistance: If there’s something you’re struggling with, don’t worry! I’m here to provide support and guidance. Feel free to reach out to me through the contact options provided in the video, and I’ll be more than happy to assist you.

Resource Availability: Follow along with ease! We provide all the necessary reference materials to make your learning journey smoother.

Practice exams: This course contains practice exams with questions that exactly mirror the types of questions found on the PL-900 exam. Use them to validate your knowledge and find weaker areas where you need to review.

Community: When you enroll in this course, you join a Databricks community full of learners just like you

Course Overview:

Introduction: Learn about Databricks, the certification, and how to succeed

Section 1: Data Lakehouse and Delta Lake in Databricks

Section 2: Data Science and Engineering Workspaces in Databricks

Section 3: Relational entities (databases, tables, views) in Databricks

Section 4: ELT (Spark SQL and Python) in Databricks

Section 5: Structured Streaming and Delta Live Tables in Databricks

Section 6: Structured Streaming and Delta Live Tables in Databricks

Section 7: Navigating Workflows and Production Pipelines in Databricks

Section 8: Discover and manage data using Data Explorer in Databricks

Section 9: Navigating Databricks SQL

Practice Exams: practice what you have learned to validate your knowledge

Conclusion: take your exam, earn your certification, and next steps

Take the exam: time to roll your sleeves and take the real exam to earn your certification

Music by Bensound

License code: CUICLARBJ5XPYPK6

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to this course

Lecture 2: Course Tips

Lecture 3: Instructor overview

Lecture 4: Introduction to Databricks Data Engineer Associate

Lecture 5: Introduction to Databricks

Lecture 6: Course roadmap and curriculum

Lecture 7: Course and exam curriculum

Lecture 8: Ways to reach out

Lecture 9: Keys to success

Lecture 10: Leave a rating

Lecture 11: Watch in 1080p

Chapter 2: S1: Data Lakehouse and Delta Lake in Databricks

Lecture 1: Databricks the Lakehouse Platform overview

Lecture 2: Delta lake

Lecture 3: Introduction to Unity Catalog

Lecture 4: Databricks and cloud provider

Lecture 5: Data engineering in Databricks

Lecture 6: Slides

Chapter 3: S2. Data Science and Engineering workspaces in Databricks

Lecture 1: Create an account in Databricks

Lecture 2: Navigating the Databricks UI

Lecture 3: Databricks Cluster

Lecture 4: Create a Databricks Cluster

Lecture 5: Databricks Repos

Lecture 6: Databricks Repos UI

Lecture 7: Databricks Repos UI – PLS SEE THIS IF YOU CANNOT ACCESS THE REPO FROM THE LINK

Lecture 8: Databricks Notebooks

Lecture 9: Databricks Notebooks UI

Lecture 10: Databricks notebook tutorials introduction

Lecture 11: Databricks Notebooks DA tutorial

Lecture 12: DE 1.3: Getting started with Databricks lab

Lecture 13: Slides

Chapter 4: S3. Relational entities (databases, tables, views) in Databricks

Lecture 1: Databricks workflows

Lecture 2: DE 2.1: Querying files directly demo

Lecture 3: DE 2.2: Querying files directly demo

Lecture 4: Slides

Chapter 5: S4. ELT (Spark SQL and Python) in Databricks

Lecture 1: DE 2.3: Extract data

Lecture 2: DE 2.4: Cleaning data

Lecture 3: DE 2.5: Complex transformations

Lecture 4: DE 2.6: Reshape Data Lab

Lecture 5: DE 2.7A: SQL UDFs

Lecture 6: DE 2.99: Higher order functions

Lecture 7: DE 2.7B: Python UDFs

Lecture 8: Module 2.0 Summary

Lecture 9: DE 3.1: Schemas and Tables

Lecture 10: DE 3.2 – Version and Optimize Delta Tables

Lecture 11: DE 3.3L – Manipulate Delta Tables Lab

Lecture 12: DE 3.4 – Set Up Delta Tables

Lecture 13: DE 3.5 – Load Data into Delta Lake

Lecture 14: DE 3.6L – Load Data Lab

Lecture 15: Module 3.0 Summary

Lecture 16: Slides

Chapter 6: S5. Structured Streaming and Delta Live Tables in Databricks

Lecture 1: Structured Streaming

Lecture 2: Delta Live Tables Part 1

Lecture 3: Delta Live Tables Part 2

Lecture 4: DE 4.1 – DLT UI Walkthrough

Lecture 5: DE 4.1.1 – Orders Pipeline

Lecture 6: DE 4.1.2 – Customers Pipeline

Lecture 7: DE 4.1.3 – Status Pipeline

Lecture 8: DE 4.2 – Python vs SQL

Lecture 9: DE 4.3 – Pipeline Results

Lecture 10: DE 4.4 – Pipeline Event Logs

Lecture 11: DE 4.99 – Land New Data

Lecture 12: Module 4.0 Summary

Lecture 13: Slides

Chapter 7: S6. Navigating Workflows and Production Pipelines in Databricks

Lecture 1: DE 5.1.1 – Task Orchestration

Lecture 2: DE 5.2.1L – Lab Instructions Part 1

Lecture 3: DE 5.2.1L – Lab Instructions Part 2

Lecture 4: Module 5.0 Summary

Lecture 5: Slides

Chapter 8: S7. Unity Catalog & Entity Permissions in Databricks

Lecture 1: Understanding Unity Catalog

Lecture 2: External tables on Unity Catalog

Lecture 3: Slides

Chapter 9: S8. Discover and manage data using Data Explorer in Databricks

Lecture 1: Managing permissions with Data Explorer UI

Lecture 2: Slides

Chapter 10: S9. Navigating Databricks SQL

Lecture 1: How to create a SQL warehouse

Lecture 2: DE 7.1 – Navigating Databricks SQL and Attaching to Warehouses

Lecture 3: DE 7.2 – Last Mile ETL with DBSQL

Lecture 4: Module 7.0 Summary

Lecture 5: Slides

Chapter 11: Exam Preparation

Lecture 1: Official Databricks Practice Exam

Chapter 12: Conclusion

Lecture 1: Congratulations

Lecture 2: Next steps

Lecture 3: Ways to reach out and contact me

Chapter 13: Bonus

Lecture 1: Bonus

Instructors

Henry Habib
Top Instructor with 200K Students | Gen AI No-Code Master

The Intelligent Worker
Use AI, Automation, and No-Code to Be More Productive

Rating Distribution

1 stars: 8 votes

2 stars: 3 votes

3 stars: 11 votes

4 stars: 33 votes

5 stars: 44 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!