Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
13 Hour(s) 59 Minute(s)
Language
English
Taught by
VCloudMate Solutions
Rating
Course Overview
Hands-on Azure Databricks Unity Catalog | Delta Live Tables | Streaming | CICD with Azure DevOps | Terraform | MLFlow
This course will take you on a journey into the world of Azure Databricks, transforming how you handle data analysis, engineering tasks, and machine learning tasks.
[New] Course Revision Highlights:
Databricks Free Edition: Learn about the new capabilities and limitations of the Databricks Free Edition, offering hands-on experience for beginners without cost barriers
Unity Catalog Login Issues (Solved): We've addressed and resolved the common login problems with Unity Catalog, ensuring seamless integration and access management
New Content on Apache Structured Streaming: Dive deeper into real-time data processing with updated modules on Apache Structured Streaming for robust stream handling and analytics
Azure Databricks Lakeflow Release: Explore the latest release of Lakeflow, enhancing workflow automation and simplifying data engineering tasks in Azure Databricks
Highlights:
Learn to set up and utilize Azure Databricks efficiently.
Understand Open Storage Parquet, Data Lakes, and Delta Lakes.
Explore the Medallion design pattern.
Use Azure Databricks for SQL Data Warehousing.
Master Spark Programming and Big Data Processing in Azure Databricks.
Utilize Unity Catalog for managing batch and streaming datasets.
Build pipelines with Delta Live Tables in Azure Databricks.
Implement CI/CD pipelines using Azure DevOps.
Automate infrastructure provisioning with Terraform for Azure Databricks.
Leverage Azure Databricks for Machine Learning, including MLFlow integration.
This course caters to data engineers, data scientists, and analytics professionals, enhancing your ability to use Azure Databricks for complex analytics projects.
Our courses are designed with a simple learning plan that is well-suited for college freshmen
By the end, you'll be equipped to build scalable, reliable data solutions, and implement advanced analytics with confidence.
You'll gain hands-on experience in setting up and optimizing your data environment, ensuring efficient data processing and robust data engineering workflows.
Additionally, you'll learn best practices for managing data storage, developing machine learning models, and deploying them seamlessly, making you proficient in the entire data lifecycle using Azure Databricks.
Course Content
- 10 section(s)
- 128 lecture(s)
- Section 1 Section 01 - Introduction
- Section 2 Section 02 - Getting Started
- Section 3 Section 03 - Architecture Centre
- Section 4 Section 04 - Administration Centre
- Section 5 Section 05 - Databricks Utilities
- Section 6 Section 06 - Connect with Azure Data Lake Storage
- Section 7 Section 07 - Delta Lake Tables
- Section 8 Section 08 - SQL Data warehousing on Azure Databricks
- Section 9 Section 09 - Unity Catalog for Azure Databricks
- Section 10 Section 10 - Structured Streaming on Azure Databricks
What You’ll Learn
- Understand the basics of Azure Databricks and its key features
- Supported Data Storage formats for real world data such Apache Parquet
- Build and execute end-to-end data pipelines using PySpark
- Build and execute end-to-end data pipelines using Databricks SQL Datawarehousing
- Shared Storage using Unity Catalog for handling real world challenges
- Using Databricks CLI for Automation for Databricks workflows,jobs and workspaces
- Using Databricks Utilities for handling file system (dbfs)
- Using Databricks CLI
- Using Delta Lakes for data engineering
- Using COPY INTO and AutoLoader for Data movement
- Manage Infrastructure using Infrastructure as Code(IaC) Tools such as Terraform
- Implement CI/CD pipelines using Azure DevOps
- Handle Data Science projects using Databricks Machine Learning
- Leverage Azure Databricks for Machine Learning, including MLFlow integration
- Experience Learning using Real Time Projects references
Skills covered in this course
Reviews
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SSai Kiran
"I'm thrilled to share that this course helped me clear my Databricks Certification Exam! The compilation of topics was great, and I particularly loved the way Terraform was incorporated for automation - it was fantastic and made a huge difference in my learning journey. Highly recommend!"
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AAarthi Singu
I'm a Data Engineer working with Azure Databricks, and I just wanted to say how much I appreciated the course. It really helped me grasp some of the more challenging modules, and I also learned a lot about Azure DevOps, Delta Live Tables, and MLFlow. The way you incorporated Terraform for automation was fantastic. It made a big difference! Kudos for creating such amazing and valuable content!
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SSanthosh Kumar
content can be shorter Also some of the examples can be more realistic - for example streaming. The training focus more on operational aspects and usage but does not emphasis on cocept and though process behind providing the femuch. Hence it is ideal for someone who want to learn databricks as a data engineer.
