Feeling stuck in the world of endless data? Looking to sharpen your skills and make sense of the mountains of information that the digital world throws at you daily? Well, my friend, you’ve come to the right place! We know just what you need to not only survive but thrive in our data-driven world. It’s time you transfer that innate curiosity of yours into data-crunching capabilities with Databricks online courses.
In this blog post, we’re diving deep into the ocean of knowledge, exploring Databricks online courses that’ll turn you into a veritable data superhero. Whether you’re a total newbie wanting to dip your toes in the big data waters or an experienced data wrangler looking to level up your expertise, there’s a course out there for everyone. So, let’s put on our learning caps, grab a cup of coffee (or tea, if you’re so inclined), and get ready to sift through the top Databricks online courses that’ll arm you with the know-how to tame the wild data jungle. Are you ready? Let’s go!
Databricks Courses – Table of Contents
- Azure Databricks & Spark For Data Engineers (PySpark / SQL)
- Databricks Certified Data Engineer Associate – Preparation
- Azure Databricks and Spark SQL (Python)
- Databricks Certified Data Engineer Associate Exam Guide
- Practice Exams: Databricks Data Engineer Professional
- Databricks Certified Data Engineer Associate Practice Exams
- Databricks Certified Data Engineer Professional -Preparation
- Data Engineering using Databricks on AWS and Azure
Azure Databricks & Spark For Data Engineers (PySpark / SQL)
Platform:
Udemy
Rating:
4.6 out of 5
Get ready to dive into Azure Databricks with this comprehensive course that focuses on implementing a real-world data engineering solution! This course stands out from others on Udemy as it covers everything from Azure Databricks and Spark core to relevant connections with Azure Data Lake Storage Gen2, Azure Data Factory, and PowerBI. It’s like a one-stop-shop if you want to enhance your data engineering skills. Though the course doesn’t cover Spark Streaming or Spark ML and only focuses on PySpark and Spark SQL, it’s still packed with valuable information.
The course content has been meticulously organized into sections that follow a logical progression. You’ll learn Azure Databricks essentials, as well as key Spark concepts like ingestion, transformation and Delta Lake. This course also covers Unity Catalog for a complete understanding of data governance. And to top it off, you’ll get a taste of Azure Data Factory to create, schedule and monitor pipelines. With simple language and fast-paced lessons, this course offers a great deal of knowledge for anyone looking to up their data engineering game.
Skills you’ll learn in this course:
- Building a data engineering solution using Azure Databricks, Azure Data Lake GenAzure Data Factory, and Power BI.
- Creating, configuring, and monitoring Databricks clusters, cluster pools, and jobs.
- Working with Databricks notebooks, utilities, and magic commands.
- Implementing data transformations using PySpark and Spark SQL.
- Utilizing Delta Lake for the Lakehouse architecture and incremental load patterns.
- Employing Unity Catalog for data governance and data access control.
- Developing Azure Data Factory pipelines to execute Databricks notebooks and manage dependencies.
- Creating and scheduling triggers in Azure Data Factory for regular pipeline execution and monitoring.
Databricks Certified Data Engineer Associate – Preparation
Platform:
Udemy
Rating:
4.6 out of 5
Are you ready to become a Certified Data Engineer Associate from Databricks? Well, you’re in luck—there’s this fantastic online course to help you prepare for the certification exam! Throughout this course, you’ll gain knowledge about the Databricks Lakehouse Platform and its various tools, such as Data Lakehouse, Data Science and Engineering workspace, and Delta Lake. Besides, you’ll be able to build ETL pipelines using Apache Spark SQL and Python, incrementally process data, and much more.
Not only does this course cover essential technical skills, but it also delves into production pipeline concepts, Databricks SQL queries, and dashboards in the context of building data engineering applications. Plus, you’ll learn more about security best practices, including the Unity Catalog and Entity Permissions. With all of this knowledge at your fingertips, you’ll feel confident and prepared to face the certification exam! So, don’t miss out on this opportunity. Trust me, you won’t regret it!
Skills you’ll learn in this course:
- Master the Databricks Lakehouse Platform and tools.
- Build ETL pipelines using Apache Spark SQL and Python.
- Incrementally process data with Structured Streaming and Auto Loader.
- Implement multi-hop architecture in data processing.
- Create production pipelines for data engineering applications.
- Develop Databricks SQL queries and dashboards.
- Apply best security practices with Unity Catalog and Entity Permissions.
- Prepare for the Certified Data Engineer Associate certification exam.
Azure Databricks and Spark SQL (Python)
Platform:
Udemy
Rating:
4.7 out of 5
Dive into the world of big data with this comprehensive online course focused on Databricks, one of the most in-demand big data tools today. Designed for data science, ML, and data engineering enthusiasts, this course offers an engaging and hands-on learning experience, featuring lectures, code-along videos, and challenge sections to keep you hooked. Gain lifetime access to course materials, including detailed notebooks containing step-by-step documentation, additional resources, and links.
The course aims to teach you PySpark, Spark SQL in Python, and the Databricks Lakehouse Architecture while primarily using Databricks on Microsoft Azure. Discover various Azure services, such as Azure Data Lake Storage Gen 2, Azure Repos, and Azure DevOps. Broaden your knowledge across various topics, from setting up Azure Databricks Notebooks, Spark SQL, data analysis and transformation to charts, dashboards, medallion architecture, delta lakes, structured streaming, access control lists (ACLs), and more. With an extensive curriculum delivered concisely, sharpen your big data skills through a myriad of data sets as you embark on your journey with this must-attend course.
Skills you’ll learn in this course:
- Mastering PySpark and Spark SQL in Python
- Understanding Databricks Lakehouse Architecture
- Utilizing Microsoft Azure services like Azure Data Lake Storage Gen Azure Repos, and Azure DevOps
- Reading, writing, and transforming data with Spark SQL
- Creating charts and dashboards using Databricks Notebooks
- Working with Delta Lake and Databricks Medallion Architecture
- Implementing Spark Structured Streaming and Delta Live Tables
- Configuring Access Control Lists (ACLs) and integrating CI/CD processes in Databricks
Databricks Certified Data Engineer Associate Exam Guide
Platform:
Udemy
Rating:
4.6 out of 5
I found this fantastic course on Databricks Certified Data Engineer Associate certification that I thought you might be interested in. This course is designed to help you gain mastery in the skills required to become a certified Databricks data engineer associate and is currently in high demand in the industry.
Throughout the course, you will learn essential concepts such as the Databricks Lakehouse Platform, ELT with Spark SQL and Python, Incremental Data Processing, Production Pipelines, and Data Governance. Designed by industry experts, this course combines theoretical concepts with hands-on labs to help you apply everything you learn. Upon completion, you’ll feel confident in taking the Databricks Certified Data Engineer Associate exam and furthering your career as a data engineer. So, why not enroll now and start working towards becoming a certified Databricks data engineer associate?
Skills you’ll learn in this course:
- Utilize Databricks Lakehouse Platform and its tools effectively.
- Build ETL pipelines using Apache Spark SQL and Python.
- Incrementally process data through Structured Streaming and Auto Loader.
- Build production pipelines for data engineering applications.
- Create and manage Databricks SQL queries and dashboards.
- Implement best security practices with Unity Catalog and entity permissions.
- Understand the benefits and features of Delta Live Tables.
- Prepare for and confidently take the Databricks Certified Data Engineer Associate exam.
Practice Exams: Databricks Data Engineer Professional
Platform:
Udemy
Rating:
4.6 out of 5
Are you prepping for the Databricks Data Engineer Professional certification exam? Look no further! There are two super helpful practice tests available that come with detailed explanations, ensuring you are well-prepared before attempting the actual exam. These practice tests will cover essential topics like model data management solutions (Lakehouse and general data modeling), data processing using Spark and Delta Lake APIs, understanding the Databricks platform and its tools, building production pipelines with a focus on security and governance, configuring alerting and storage, and following best practices for managing, testing, and deploying code.
Each practice test has a duration of 120 minutes and contains 60 multiple-choice questions, distributed across the different topics. To pass, you’ll need a strong grasp of Databricks Tooling (20%), Data Processing (30%), Data Modeling (20%), Security and Governance (10%), Monitoring and Logging (10%), and Testing and Deployment (10%). After successfully completing these practice tests, you’ll feel much more confident and ready to tackle the certification exam. Wishing you the best of luck in your exam preparation journey!
Skills you’ll learn in this course:
- Master the Lakehouse architecture and general data modeling concepts.
- Build data processing pipelines using Spark and Delta Lake APIs.
- Utilize Databricks platform tools, like the Databricks CLI and REST API.
- Implement security and governance best practices in production pipelines.
- Set up alerting and storage for monitoring and logging in production jobs.
- Learn effective code management, testing, and deployment strategies.
- Understand and apply scheduling and orchestration in jobs.
- Gain the confidence to pass the Databricks Data Engineer Professional certification exam.
Databricks Certified Data Engineer Associate Practice Exams
Platform:
Udemy
Rating:
4.6 out of 5
Looking to ace the Databricks Certified Data Engineer Associate exam? This online course offers practice tests that cover all of the exam topics to help you pass but also ensures you learn the concepts of the Databricks platform. With five practice exams focusing on different Databricks features, you won’t miss out on any essential knowledge before taking the test. The course tackles more than just exam preparation; its ultimate goal is to help you learn the Databricks platform inside and out.
The Databricks Certified Data Engineer Associate certification exam aims to evaluate an individual’s ability to use the Databricks Lakehouse Platform for basic data engineering tasks. The exam covers understanding the Lakehouse Platform’s workspace, architecture, and capabilities, and your ability to perform ETL tasks using Apache Spark SQL and Python in batch and incremental processing paradigms. To pass, you’ll need a solid grasp of using Databricks Lakehouse Platform tools, building ETL pipelines with Apache Spark SQL, incrementally processing data, and building production pipelines for data engineering applications and Databricks SQL queries. You’ll also need a strong understanding of best security practices. Prepare to dive into 90 minutes of multiple-choice questions and come out victorious in your certification exam.
Skills you’ll learn in this course:
- Understanding the Databricks Lakehouse Platform and its tools
- Building ETL pipelines using Apache Spark SQL and Python
- Incrementally processing data with Structured Streaming and Auto Loader
- Implementing multi-hop architecture for data processing
- Building production pipelines for data engineering applications and Databricks SQL queries
- Creating and managing dashboards with endpoints, scheduling, alerting, and refreshing
- Understanding and following best security practices with Unity Catalog and entity permissions
- Applying data governance in Databricks Lakehouse Platform
Databricks Certified Data Engineer Professional -Preparation
Platform:
Udemy
Rating:
4.6 out of 5
If you’re on the hunt for a course that will prepare you for the Certified Data Engineer Professional exam from Databricks, look no further. This course is designed to equip you with all the necessary skills and knowledge for the certification exam. Trust me, by the end of it, you’ll be more than ready to ace that test!
Throughout the course, you’ll dive into topics like data management solutions, building data processing pipelines with Spark and Delta Lake APIs, and understanding the benefits of Databricks platform and tools. But that’s not all! You’ll also learn about building production pipelines with a focus on security and governance, configuring alerting and storage for monitoring production jobs, and following best practices for managing, testing, and deploying code. So, buckle up and get ready for an exciting and educational journey. Can’t wait to see you there!
Skills you’ll learn in this course:
- Model data management solutions using Lakehouse and general data modeling concepts.
- Build data processing pipelines with Spark and Delta Lake APIs.
- Understand and utilize the Databricks platform and its tools.
- Implement security and governance best practices in production pipelines.
- Configure alerting and storage monitoring for production jobs.
- Follow best practices for managing, testing, and deploying code.
- Optimize workloads for better performance.
- Debug errors and maintain the health of your production pipelines.
Data Engineering using Databricks on AWS and Azure
Platform:
Udemy
Rating:
4.4 out of 5
This online course covers everything you need to know about Data Engineering using the cloud platform-agnostic technology, Databricks. Participants will dive deep into various aspects of Data Engineering pipelines, ranging from batch to streaming. The course focuses on Databricks, a popular cloud-based data engineering tech stack that evolved from the Apache Spark project. Key features of Databricks, such as Spark, Delta Lake, cloudFiles, and Databricks SQL, are thoroughly explored throughout the course modules.
The extensive curriculum includes setting up local development environments, learning Databricks CLI to manage data engineering applications, developing Spark applications, working with Databricks jobs and clusters, deploying and running jobs on Databricks job clusters, handling Delta Lake using DataFrames and Spark SQL, and much more. This advanced course is ideal for experienced application developers, data engineers, and testers who want to gain expertise in Data Engineering using Databricks. Prerequisites for the course include prior knowledge of Apache Spark, experience as a Data Engineer, and familiarity with cloud concepts. Note that participants are responsible for any associated AWS or Azure and Databricks costs, as only course materials are provided.
Skills you’ll learn in this course:
- Data Engineering concepts with Databricks
- Databricks platform features and its components
- Set up local development environment for Data Engineering Applications using Databricks
- Develop and deploy Spark Data Engineering jobs on Databricks
- Delta Lake deep dive with DataFrames and Spark SQL
- Building Data Engineering pipelines using Spark Structured Streaming
- Incremental file processing with Databricks Auto Loader cloudFiles
- Analyze and visualize data using Databricks SQL
In conclusion, it’s evident that Databricks online courses provide a fantastic opportunity for both beginners and seasoned professionals to enhance their skills in big data analysis, machine learning, and more. These courses are an investment that’s sure to yield positive results in your career growth, as you’ll be equipped with relevant expertise that’s incredibly sought after in today’s tech landscape. So, don’t wait any longer – take the leap and sign up for a course that suits your skill level and interests.
Furthermore, once you’ve completed a Databricks course, don’t be afraid to put your newly gained knowledge to the test. Apply your skills to real-world challenges and be proactive in showcasing your abilities to potential employers or clients. Continuous growth and learning are key factors in staying relevant in the ever-evolving tech world, and with Databricks online courses as your foundation, the sky’s the limit when it comes to your professional journey!