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 platform's 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 platform's 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?
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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
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Build ETL pipelines using Apache Spark SQL and Python, including Relational Entities, ELT, Spark SQL, and Python
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Incrementally process data, including Structured Streaming, Auto Loader, Multi-hop Architecture, Delta Live Tables
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Build production pipelines for Data Engineering Applications and Databricks SQL queries and Dashboards, including Jobs and Dashboards
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Understand and follow best security practices, including Unity Catalog and Entity Permissions
Why should you get the certification?
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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.
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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
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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:
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Henry Habib – data consultant and online instructor for 100K+ students, focused on Azure and Databricks
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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?
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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.
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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.
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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.
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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.
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Resource Availability: Follow along with ease! We provide all the necessary reference materials to make your learning journey smoother.
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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.
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Community: When you enroll in this course, you join a Databricks community full of learners just like you
Course Overview:
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Introduction: Learn about Databricks, the certification, and how to succeed
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Section 1: Data Lakehouse and Delta Lake in Databricks
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Section 2: Data Science and Engineering Workspaces in Databricks
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Section 3: Relational entities (databases, tables, views) in Databricks
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Section 4: ELT (Spark SQL and Python) in Databricks
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Section 5: Structured Streaming and Delta Live Tables in Databricks
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Section 6: Structured Streaming and Delta Live Tables in Databricks
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Section 7: Navigating Workflows and Production Pipelines in Databricks
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Section 8: Discover and manage data using Data Explorer in Databricks
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Section 9: Navigating Databricks SQL
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Practice Exams: practice what you have learned to validate your knowledge
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Conclusion: take your exam, earn your certification, and next steps
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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
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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!
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