Step 3: Analyze Referrers (Incoming Links)
In this step, you will find out how often someone experiences successes or failures by creating a table called ReferrersPerDay that groups the referrers and HTTP statuses. You will output the results into a table so future analysis are more performant.
Review the U-SQL script, and then click Submit. It takes a few minutes for the job to complete. You shall see a status bar on the top. Click OK to continue to the next step.
Read some data @searchlog = EXTRACT UserId int, Start DateTime, Region string, Query string, Duration int, Urls string, ClickedUrls ...
Select U-SQL Catalog and Database permissions needed by {0}. Permissions for the Catalog and the master database are required ...
Step 1: Introduction This tutorial demonstrates how to analyze website logs using Azure Data Lake Analytics. If you haven't ...
Step 2: Create the weblogs TVF Because you will use the data in multiple Data Lake Analytics jobs, it will be easier to store ...
Step 3: Analyze Referrers (Incoming Links) In this step, you will find out how often someone experiences successes or failures ...
Step 4: Identify Unsuccessful Requests In this step, you will find out which of the referrers run into errors when they try ...
The graph data has been deleted. The data might've been deleted or cleaned up as part of the Query Store retention policy. ...
The most scalable, elastic, and secure way for customers with massivly parallel big data analytics workloads to construct, ...
The option to use your own keys is not available when you create this Data Lake Store account as part of creating a Data ...