Sign-up now and get instant access
Leave a comment
Customized training to master new skills and grow your business.
Beginner to advanced classes taught by Microsoft MVPs and Authors.
In-depth boot camps take you from a novice to mastery in less than a week.
Season Learning Pass
Get access to our very best training offerings for successful up-skilling.
Stream Pro Plus
Combine On-Demand Learning platform with face-to-face Virtual Mentoring.
Quick references for when you need a little guidance.
Summaries developed in conjunction with our Learn with the Nerds sessions.
Digital goodies - code samples, student files, and other must have files.
Stay up-to-date on all things Power BI, Power Apps, Microsoft 365 and Azure.
Earn money by driving sales through the Pragmatic Works' Training Affiliate Program.
It's time to address your client's training needs.
Learn how to get into IT with free training and mentorship.
Discover the faces behind our success: Meet our dedicated team
How can we help? Connect with Our Team Today!
Find all the information you’re looking for. We’re happy to help.
At Pragmatic Works we talk to a lot of customers about their data strategies, specifically their data cloud strategies. One great tool we utilize in our toolbox is Azure Data Lake and in today’s post, I’d like to introduce that tool and tell you about some benefits you will gain.
Azure Data Lake is Microsoft’s Platform as a Service (PaaS) big data solution running on Azure. This gives you the ability to handle large volumes of data, as well as unstructured data, such as CSV, flat or log files; these can all be processed through the Azure Data Lake service.
Azure Data Lake consists of two different resources within Azure:
A benefit of running Azure Data Lake Analytics vs some of the other big data platforms, is that it uses a language called U-SQL, which is proprietary to Microsoft. This language is based off T-SQL (I call it a mash-up of T-SQL and C#). We utilize many of the functions and syntax that we use in C#, but we use it in the context of a T-SQL statement.
The benefit lies in the fact that we don’t have to learn some of the languages that are common to open source data platforms, such as PIG, HIVE, Spark or Python. We can take advantage of some big data capabilities and run them with some of the skill sets we already have in-house.
We help many of our over 7,000 customers by teaching them how to integrate Azure Data Lake into their overall data architectures and figuring out where big data may fit into their data strategy. If you’d like to learn more about integrating this in your business or if you have questions about anything Azure related, we are the people to talk to. Click the link below or contact us – we’d love to help.
Join other Azure, Power Platform and SQL Server pros by subscribing to our blog.