Databricks Certified Data Engineer Associate Complete Guide

What you’ll 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.

Requirements
Basic understanding of cloud computing concepts is recommended as this will assist students to understand the integration and deployments aspects of Databricks within a cloud environment, but not necessary
Knowledge of ETL and ELT processes as Databricks is recommend but not required
Basic Python and SQL knowledge

Description
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 professional with 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 LakeBuild ETL pipelines using Apache Spark SQL and Python, including Relational Entities, ELT, Spark SQL, and PythonIncrementally process data, including Structured Streaming, Auto Loader, Multi-hop Architecture, Delta Live TablesBuild production pipelines for Data Engineering Applications and Databricks SQL queries and Dashboards, including Jobs and DashboardsUnderstand and follow best security practices, including Unity Catalog and Entity PermissionsWhy 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 scalabilityIncrease 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 goalsWhy 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 youCourse Overview:Introduction: Learn about Databricks, the certification, and how to succeedSection 1: Data Lakehouse and Delta Lake in DatabricksSection 2: Data Science and Engineering Workspaces in DatabricksSection 3: Relational entities (databases, tables, views) in DatabricksSection 4: ELT (Spark SQL and Python) in DatabricksSection 5: Structured Streaming and Delta Live Tables in DatabricksSection 6: Structured Streaming and Delta Live Tables in DatabricksSection 7: Navigating Workflows and Production Pipelines in DatabricksSection 8: Discover and manage data using Data Explorer in DatabricksSection 9: Navigating Databricks SQLPractice Exams: practice what you have learned to validate your knowledgeConclusion: take your exam, earn your certification, and next stepsTake the exam: time to roll your sleeves and take the real exam to earn your certification

Who this course is for
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