Azure Cloud Azure Databricks Apache Spark Machine learning
What you'll learn
- This course will provide you an in depth knowledge of apache Spark and how to work with spark using Azure Databricks
- You will understand the main concepts of Azure Cloud
- You'll learn about the basic use of Azure Cloud
- You will learn to deploy Apache Spark ecosystems locally
- You'll learn how to develop a databricks dependency library through IDEA
- You will be able to process continual streams of data with Spark streaming
- You will learn how to train a machine learning model
- You will understand the use case of graph analysis
- Deploy Azure Virtual Networks via the Portal
- Deploy Azure Resource Groups
- You'll learn how to use Azure Data Factory
- You'll learn the historical story of Apache Hadoop, Apache Spark and Graph Analysis
- You'll learn how to use Apche Zepplin to develop a hello world example of Spark
- Deploy Azure Virtual Networks via the Portal
Course content
- Preview04:25
- Preview04:43
Requirements
- Apache Spark basic fundamental knowledge is required
- Following browsers on Windows and macOS desktop
- Free or paid subscription for Microsoft Azure portal.
Description
Microsoft Azure is the fastest growing cloud platform in the world. No prior Azure experience required.
Azure Databricks is unique collaboration between Microsoft and Databricks, forged to deliver Databricks’ Apache Spark-based analytics offering to the Microsoft Azure cloud. With Azure Databricks, you can be developing your first solution within minutes. Azure Databricks is a fast, easy and collaborative Apache Spark–based analytics service.
Databricks builds on top of Spark and adds:
Highly reliable and performant data pipelines
Productive data science at scale
In this course, you'll have a strong understanding of azure databricks, you will know how to use Spark SQL, Machine Learning, Graph Computing and Structured Streaming Computing in Aziure Databricks.
Why Azure Databricks?
Productive : Launch your new Apache Spark environment in minutes.
Scalable : Globally scale your analytics and machine learning projects.
Trusted : Help protect your data and business with Azure AD integration, role-based controls and enterprise-grade SLAs.
Flexible : Build machine learning and AI solutions with your choice of language and deep learning frameworks.
This course contains both theory lectures ( slides are attached to download for reference) and a significant number of hands-on demos that helps you in gaining hands-on experience. This course help you in laying strong basic foundation in preparation of Microsoft Azure Cloud and Databricks.
In this course, you can not only learn azure databricks, but also learn and practice Machine Learning, Streaming Computing, Graph Analysis, installation and deployment of Open Source Apache spark.
Who this course is for:
- Anyone who wants to learn Spark, Machine Learning using Azure Databricks
- Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer
- Students who are willing to learn Azure from ground zero
- Students who would like to make a career switch to Microsoft Azure cloud
Instructor
![Bigdata Engineer](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 2.6 Instructor Rating
- 127 Reviews
- 716 Students
- 1 Course
I am a solutions architect, consultant and full stack developer that has a particular interest in all things related to Big Data, Cloud & API, Artificial intelligence.
I'm always looking forward to the next challenges. I would really appreciate the chance to share my skills and enthusiasm with you！
My favorite programming languages are Scala, Java, Python and Golang.
In addition to computer science, I also devote myself to the study of psychology, Big Data in Psychology and Cyberpsychology.