Databricks Certified Data Engineer Associate Exam Guide
Date: 6 April 2026 | Posted by: AD-TEAM
Databricks Certified Data Engineer Associate Exam Guide
Published 4/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.44 GB | Duration: 3h 48m
Pass Databricks Certified Data Engineer Associate Exam Preparation with Hands-On Labs & HD Quality Video
What you'll learn
Databricks Clusters, Notebooks, data storage
Databricks Lakehouse Platform (architecture, descriptions, benefits)
Delta Lake
ELT with Spark SQL and Python
Relational entities (databases, tables, views)
Accessing Data from Azure Data Lake Storage (ADLS)
Structured Streaming, Auto Loader
Delta Live Tables, Multi-hop Architecture
Databricks Jobs
Databricks Dashboards
Data Governance
Requirements
Basic knowledge of SQL and Python
Basic understanding of cloud fundamentals
Description
Welcome to our comprehensive course on Databricks Certified Data Engineer Associate certification. This course is designed to help you master the skills required to become a certified Databricks data engineer associate.Databricks is a cloud-based data analytics platform that offers a unified approach to data processing, machine learning, and analytics. With the growing demand for data engineers, Databricks has become one of the most sought-after skills in the industry.In this course, you'll learn the core concepts of Databricks, including Databricks Lakehouse Platform, ELT with Spark SQL and Python, Incremental Data Processing, Production Pipelines, and Data Governance.This course is designed by industry experts with years of experience in Databricks and data engineering. This course has theoretical concepts and hands-on labs to help you apply the concepts learned in the course.Upon completion of the course, you'll be able to take the Databricks Certified Data Engineer Associate exam with confidence and succeed in your career as a data engineer.At the end of this course you should be able to:Understand how to use and the benefits of using the Databricks Lakehouse Platform and its tools, including:Data Lakehouse (architecture, descriptions, benefits)Data Science and Engineering workspace (clusters, notebooks, data storage)Delta Lake (general concepts, table management, manipulation, optimizations)Build ETL pipelines using Apache Spark SQL and Python, including:Relational entities (databases, tables, views)ELT (creating tables, writing data to tables, cleaning data, combining and reshaping tables, SQL UDFs)Python (facilitating Spark SQL with string manipulation and control flow, passing data between PySpark and Spark SQL)Incrementally process data, including:Structured Streaming (general concepts, triggers, watermarks)Auto Loader (streaming reads)Multi-hop Architecture (bronze-silver-gold, streaming applications)Delta Live Tables (benefits and features)Build production pipelines for data engineering applications and Databricks SQL queries and dashboards, including:Jobs (scheduling, task orchestration, UI)Dashboards (endpoints, scheduling, alerting, refreshing)Understand and follow best security practices, including:Unity Catalog (benefits and features)Entity Permissions (team-based permissions, user-based permissions)Enroll now and take the first step towards becoming a certified Databricks data engineer associate.
Overview
Section 1: Introduction
Lecture 1 Introduction
Section 2: Getting started with Databricks
Lecture 2 Bigdata History
Lecture 3 Introduction to Databrics
Lecture 4 Lab: Databricks Workspace with Community Edition
Lecture 5 Lab: Databricks Workspace with Azure Cloud
Lecture 6 Databricks User Interface Overview
Lecture 7 Azure Databricks Architecture Overview
Lecture 8 Resources Created by Azure Databricks Workspace
Section 3: Databricks Clusters
Lecture 9 Introduction to Databricks Cluster
Lecture 10 Databricks Cluster Configuration
Lecture 11 Lab: Creating Databricks Cluster
Lecture 12 Azure Databricks Pricing
Lecture 13 Explore Cluster Feature from UI
Lecture 14 Azure Cost Control
Lecture 15 Databricks Cluster Pool
Lecture 16 Cluster Policies Part - 1
Lecture 17 Cluster Policies Part - 2
Section 4: Databricks Notebooks
Lecture 18 Databricks Notebooks Introduction
Lecture 19 Magic Commands
Section 5: Databricks Lakehouse Platform
Lecture 20 Delta Lake
Lecture 21 Lab : Delta Lake Tables Part - 1
Lecture 22 Lab : Delta Lake Tables Part - 2
Lecture 23 Lab : Delta Lake Advanced Part - 1
Lecture 24 Lab - Delta Lake Advanced Part - 2
Lecture 25 Data objects in Databricks Lakehouse
Lecture 26 Lab - Databases and Tables on Databricks Part - 1
Lecture 27 Lab - Databases and Tables on Databricks Part - 2
Lecture 28 Lab - Databases and Tables on Databricks Part - 3
Lecture 29 Lab - Databases and Tables on Databricks Part - 4
Lecture 30 Views
Section 6: Thank You
Lecture 31 Congratulations & way forward
Anyone who wants to prepare for the Databricks Data Engineer Associate certification exam,Students who wants to peruse a career in Data Engineering,Professionals who wants to move from other technologies to Data Engineering,Anyone who wants to start learning Databricks
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