Skip to content
learning path

Big Data Analytics on Azure

Intermediate
Up to 9h 56m
3,889
5/5
Enroll
Enhance your skill setDevelop essential skills for thriving in real-world scenarios.
Stay focused, stay committedBoost your learning journey by enrolling: stay focused, consistent and achieve your goals with ease.
Earn a certificate of completionShow your skills and build your credibility when you include them in your resume and LinkedIn profile.

Training content

7
5
1
COURSE
Intermediate
Duration: 28 minutes and 2 seconds
Introduction to Azure Synapse Analytics
This lesson introduces Microsoft’s Azure Synapse Analytics, covering serverless SQL pools, dedicated SQL pools, Spark pools, and Synapse Pipelines.
HANDS-ON LAB
Intermediate
Duration: Up to 1 hour and 45 minutes
Using Azure Synapse Analytics to Query Data Lake
Learn how to deploy and use Azure Synapse Analytics to query data stored in a data lake through T-SQL statements using a serverless SQL pool in this hands-on lab.
COURSE
Intermediate
Duration: 21 minutes and 41 seconds
Running Spark on Azure Databricks
In this lesson, we will show you how to set up a Databricks cluster and run interactive queries and Spark jobs on it.
COURSE
Advanced
Duration: 38 minutes and 32 seconds
Using Azure Data Lake Storage Gen2
In this lesson, you will follow hands-on examples to import data into Azure Data Lake Storage Gen2 and then securely access it and analyze it using Azure Databricks. You will also learn how to monitor and optimize your Azure Data Lake Storage Gen2.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour
Using Azure Databricks to Import and Analyze Data
Learn to implement lightning-fast analytics by building an Azure Databricks workspace and cluster to interact with Azure Data Lake Store Gen2 data.
COURSE
Intermediate
Duration: 13 minutes and 6 seconds
Introduction to Delta Lake on Azure Databricks
This lesson provides an introduction to Delta Lake in Azure Databricks and shows you how to use it.
COURSE
Intermediate
Duration: 1 hour and 5 minutes
Designing Data Flows in Azure
In this Lesson, we're going to review the features, concepts, and requirements that are necessary for designing data flows and how to implement them in Microsoft Azure.
See all

Course Description

Microsoft Azure provides robust services for analyzing big data. One of the most effective ways is to store your data in Azure Data Lake Storage Gen2 and then process it using Spark on Azure Databricks.

Azure Stream Analytics (ASA) is Microsoft’s service for real-time data analytics. Some examples include stock trading analysis, fraud detection, embedded sensor analysis, and web clickstream analytics. ASA uses Stream Analytics Query Language, which is a variant of T-SQL. That means anyone who knows SQL will have a fairly easy time learning how to write jobs for Stream Analytics. 

In this course, you will follow hands-on examples to import data, run queries, and output the results using both analytics services. You will also learn how to troubleshoot Stream Analytics jobs. Then you will have the opportunity to run a Stream Analytics job yourself with our guided, hands-on lab. Finally, you can take our exam to test your understanding of what you learned.

Learning Objectives

  • Get data into Azure Data Lake Storage (ADLS)
  • Use six layers of security to protect data in ADLS
  • Use Azure Databricks to process data in ADLS
  • Monitor and optimize the performance of your data lakes
  • Create and run a Stream Analytics job
  • Use time windows to process streaming data
  • Scale a Stream Analytics job
  • Monitor and troubleshoot errors in Stream Analytics jobs

Prerequisites

  • Basic database knowledge
  • SQL experience (recommended)
  • Microsoft Azure account (recommended)

Intended Audience

  • Anyone interested in Azure’s big data analytics services

Feedback

If you have thoughts or suggestions for this course, please contact Cloud Academy at support@cloudacademy.com.

Your certificate for this learning path

About the Author

Avatar
Guy Hummel, opens in a new tab
Azure and Google Cloud Content Lead
Students
238,413
Courses
101
Learning paths
170

Guy launched his first training website in 1995 and he's been helping people learn IT technologies ever since. He has been a sysadmin, instructor, sales engineer, IT manager, and entrepreneur. In his most recent venture, he founded and led a cloud-based training infrastructure company that provided virtual labs for some of the largest software vendors in the world. Guy’s passion is making complex technology easy to understand. His activities outside of work have included riding an elephant and skydiving (although not at the same time).

Covered Topics

Big Data
Analytics
Storage
Microsoft Azure
Analytics for Azure
Storage for Azure
Azure Data Lake Analytics
Azure Data Lake Storage
Azure Stream Analytics