In this article, you’ll learn what democratizing your data means, the value it can provide to your organization, and the benefits and pitfalls.

If you’re just starting to deploy multiple large models in Microsoft Power BI, it might be a learning experience, but it’s well worth the effort. This article will explore some insights to give you a head start and help ensure that you’re optimizing query performance.

You’re a data person ready to take the leap into data analytics and visualizations through Microsoft Power BI. Where do you start and how can you learn to be a rock star on your own, at your own pace? To fill that need, one of Onebridge’s senior engineers is writing a book, Learning Microsoft Power BI. It will be released by highly respected technical publisher O’Reilly late this year. O’Reilly is now offering access to the early release of the first two chapters on their learning platform. Check out the details.

“Powerful?” Yes, you read that correctly. This article centers around powerful BI, and although we’ll discuss Microsoft’s Power BI platform in this larger context, our focus here will go beyond just the tooling.

We’ll explain what data analysts are, what do they do, and when you need one. We’ll also explain how data analysts differ from data engineers and data scientists. By the end of this article, you’ll understand how the puzzle pieces fit together..‍

This week’s edition of the Data Planet includes: Free Quantities Offer for Azure Synapse Expires July 31, Power BI as a Superset of Azure Analysis Services, How COVID-19 Pushed Companies over the Technology Tipping Point and Transformed Business Forever, and Software Spotlight: Get to Know Flask