Encourage. Energize. Empower.

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There is no tool for development more effective than the empowerment of women.  – Kofi Annan

In the above quote, Secretary Annan was referring to women in developing nations.  However, it’s just as apt a description of women in technology. 
Encourage. Energize. Empower.  Those are pretty tall orders. The YOU is implied. How about we imply instead that it’s WE? As working women with a voice,  WE need to support each other. WE need to encourage each other to try harder, to reach farther and to stand taller. WE need to energize each other when we’re tired, when we stumble and when we need to rest. 
Where should you start? How about right here?  Here is a great place to start. 
We’ll do it together.

Azure Machine Learning Studio vs Power BI

Mon, Apr 22 2019 16:00 UTC

Azure Machine Learning Studio vs Power BI

There are so many tools for data analysis and prediction. Let’s explore the Azure ML lab vs PowerBI, how can each of them be used? What are their differences? In this session, you will learn the differences between loading data in the Azure ML Lab vs into PowerBI. We will discuss the stages needed to implement a prediction model and the difference between the predictive and descriptive analytics with using PowerBI and Azure Ml studio. This session allows the participants actually build the prediction model as we go.

Yana Berkovich

A people-oriented professional, aspiring Product Manager, with 11 years of process analysis, building solutions, customization, developing, managing and training experience. Working with Power Bi, Oracle SQL and SQL server for the past few years. Data enthusiast with international experience in many companies as a BA, Team Lead and everything SharePoint & Office 365.

SQL Saturday WIT Events

Is your SQL Saturday organizing a PASS WIT panel session?  If so, let us know! Has your SQL Saturday team recently hosted a PASS WIT Panel session? Share your pictures, thoughts and experience with us! Email us at wit@pass.org

Upcoming Events:

Many upcoming SQLSaturday events will feature Women in Technology panels or discussions. Check out our calendar for details.

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