Course details

Azure Fundamentals: Big Data Analytics

Azure Fundamentals: Big Data Analytics


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Learners will explore how to use Azure with big data to collect, store, and analyze vast data sets by using tools such as Azure HDInsight, SQL Data Warehouse, and Azure Data Lake Analytics in this 11-video course. Key concepts covered in this course include how to deploy an Azure Hadoop Cluster; how to use Azure Data Lake Analytics to collect, store, and analyze vast data sets; and how to add an Azure Storage Blob account as a Data Lake data source. You will also learn how to configure and work with a small Data Lake data set. The concluding exercise asks learners to provide a definition of Big Data, then describe SQL Data Warehouse components—by listing moving parts that work together to make the SQL (structured query language) data warehouse function as it does—and describe the ETL tool (extract, transform, and load) in the context of how it relates to data processing. Finally, learners will deploy Azure SQL data warehouse through the Azure portal. This is one of a series of courses to help learners prepare for the AZ-900: Azure Fundamentals certification exam.



Expected Duration (hours)
0.7

Lesson Objectives

Azure Fundamentals: Big Data Analytics

  • Course Overview
  • recognize and describe big data
  • describe when SQL Data Warehouse should be used
  • use the Azure portal to deploy an Azure SQL Data Warehouse
  • recognize when to use HDInsight
  • use the portal to deploy an Azure Hadoop Cluster
  • describe the purpose of Azure Data Lake
  • use the portal to create a Data Lake account
  • add an Azure storage account as a Data Lake data source
  • configure and work with a small Data Lake dataset
  • map Azure big data solutions to business needs
  • Course Number:
    it_clazfd_07_enus

    Expertise Level
    Beginner