Use AU Analyzer for faster, lower cost Data Lake Analytics

Do you use Data Lake Analytics and wonder how many Analytics Units your jobs should have been assigned? Do you want to see if your job could consume a little less time or money? The recently-announced AU Analyzer tool can help you today! See our recent announcement of the AU Analyzer, available in both Visual…

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Using the first job run to optimize subsequent runs with Azure Data Lake job AU analyzer

Customers have been telling us it’s hard to find the right balance between Analytics Units (AUs) and job execution time. For too many users, optimizing a job means running the job in the cloud using trial and error to find the best AU allocation that balances cost and performance. Today we are happy to introduce…

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Azure Data Lake Command-line Quickstart using Azure Cloud Shell

Have you been using Azure Data Lake Analytics mainly from the Azure Portal or Visual Studio interfaces? Do you want to use Data Lake Analytics programmatically without installing anything? Do you want to get started with Azure PowerShell, but you’re on a Mac or Linux machine? Here’s how to get started with Azure PowerShell or…

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Struggling to get insights for your Azure Data Lake Store? Azure Log Analytics can help!

Customers love to use Azure Data Lake across their organizations by enabling their Data Lake Analytics accounts to use multiple Data Lake Store accounts as data sources.  Business can have flexibility  with resource usage and allocation, but this creates challenges for the Data Lake account administrators who struggle with understanding what is being used, how…


Debugging Azure Data Lake Job Failures Made Easy (part 2) – Efficiently troubleshoot anomalies in recurring jobs

Azure Data Lake Analytics recently announced advanced job tracking and management features that make it easy to work with pipelines and recurring jobs. Releases after version 2.3.0000.1 of Azure Data Lake Tools for Visual Studio, introduce new features that simplify analyzing and troubleshooting such jobs. Troubleshooting issues in recurring job is a time-consuming task. It…


How to Save Money and Control Costs with Azure Data Lake Analytics

Where there is great power there is great responsibility -Winston Churchill Azure Data Lake Analytics with its serverless approach and scale-up U-SQL query execution puts a lot of power in developers hands. As you start exploring what is possible with Azure Data Lake and your datasets start growing, it becomes ever more important for developers…

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