Udemy

Azure Cloud Azure Databricks Apache Spark Machine learning

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  • 773 名學生
  • 更新於 5/2020
2.9
(140 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
8 小時 41 分鐘
教學語言
英語
授課導師
Bigdata Engineer
評分
2.9
(140 個評分)
1次瀏覽

課程簡介

Azure Cloud Azure Databricks Apache Spark Machine learning

Big Data, Spark SQL, Hadoop, Kafka, Data Lake, Transfer Learning, Zeppelin Notebook, Graph, Hortonworks HDP, Cloudbreak

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.

課程章節

  • 11 個章節
  • 74 堂課
  • 第 1 章 Introduction
  • 第 2 章 Databricks Quickstart
  • 第 3 章 Apache Spark
  • 第 4 章 Databricks Developer Tools
  • 第 5 章 Databricks Notebook
  • 第 6 章 Databricks Delta Lake
  • 第 7 章 Databricks REST API
  • 第 8 章 Databricks Machine Learning
  • 第 9 章 Structured Streaming
  • 第 10 章 Databricks Graph Analysis
  • 第 11 章 Bonus: An Open Source Alternative Solution for Databricks

課程內容

  • 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


評價

  • T
    Thomas Palt
    1.0

    Zu wenig Erläuterungen. Keine durchgängigen Beispiele. Kein roter Faden.

  • S
    Sergio Roberto de Paula Silva
    1.0

    The instructor does not "talk". It can be said that the content is incomplete since the instructor saved on production putting only one song.

  • S
    Samar Saxena
    1.0

    This guy cannot speak, when he speaks I cannot understand. Half the time he's just clicking away without saying anything. Bad tutorial.

  • V
    Vijal Chokshi
    1.0

    Nothing is in detail, just overview of everything!!

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