Last Updated 05/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 74 lectures (8h 41m) | Size: 4.55 GB
Big Data, Spark SQL, Hadoop, Kafka, Data Lake, Transfer Learning, Zeppelin Notebook, Graph, Hortonworks HDP, Cloudbreak
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
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
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