Tag: Azure Machine Learning

Part 4 – Live Streaming Weather Station with Cortana Analytics (Online Data Analytics with Azure ML)

Posted on by Leila Etaati

In previous posts, I have showed the process of creating a live weather data streaming with Cortana. In Part 1 the process of setting up Raspberry PI3 and weather station sensor has been explained. Following, in Part 2, the process of setting up the Event Hub as a median to digest the data from Raspberry PI Read more about Part 4 – Live Streaming Weather Station with Cortana Analytics (Online Data Analytics with Azure ML)[…]

Live streaming Weather station with Cortana Analytics – Part 1

Posted on by Leila Etaati

Cortana analytics help organization to transform data into intelligence. In this post I will show how to use Cortana Analytics for IoT and Machine Learning Purpose. In propose scenario I will try to show some components of Cortana intelligence that has been used for collecting data from a weather station sensor and show the live temperature data Read more about Live streaming Weather station with Cortana Analytics – Part 1[…]

Make Business Decisions: Market Basket Analysis Part 1

Posted on by Leila Etaati

Market Basket analysis (Associative rules), has been used for finding the purchasing customer behavior in shop stores to show the related item that have been sold together. This approach is not just used for marketing related products, but also for finding rules in health care, policies, events management and so forth. In this Post I will Read more about Make Business Decisions: Market Basket Analysis Part 1[…]

Azure Machine Learning with Power BI SandDance Visualization

Posted on by Leila Etaati

You’ve seen a number of custom visualizations of Power BI that we’ve used in Power BI online book previously. In this post you will learn through a quick video how SandDance custom visualization of Power BI can be used to visualize clustering result set of an Azure Machine Learning model. In this video I’ll start Read more about Azure Machine Learning with Power BI SandDance Visualization[…]

SQL Saturday Melbourne; Presentation Materials

Posted on by Reza Rad

Thanks to all who attended on our pre-con, and sessions on SQL Saturday Melbourne. It was an awesome event, and we proud that we’ve been participating there at least as speakers. SQL Saturday Melbourne 2016 had 350 registrations. About 30 technical sessions, with the keynote from Mark Souza. Many international speakers as well as local. Read more about SQL Saturday Melbourne; Presentation Materials[…]

Our Courses: February 2016 Australia

Posted on by Reza Rad

It is pleasure to let you know that we will be in Australia: Sydney, and Melbourne February 2016 to deliver SSIS and Machine Learning Courses. Courses are adjusted to a one-day program with heaps of demos and handouts for audience. Our courses designed in a pragmatic approach in the way that enables you to start Read more about Our Courses: February 2016 Australia[…]

A Glance At My Speaking Life (In a Year)

Posted on by Leila Etaati

This year was an active year in my speaking life, In almost a year I’ve done below speakings: One SQL Rally Session (Denmark, Nordic) One Microsoft Ignite (New Zealand) Five SQL Saturdays (Austria, USA, New Zealand, Australia) Bunch of User Group and Codecamp speakings I started my peaking life with talking about MS data mining Read more about A Glance At My Speaking Life (In a Year)[…]

Walk-through Steps: I’m New to BI, Where to Start? – Part 7: Azure

Posted on by Reza Rad

Many organizations nowadays are in transition from on-premises to cloud, and many of them use hybrid solutions where part of the computing will be done in cloud and the rest on-premises. The trend nowadays is to use cloud to have better maintenance, lower costs, more reliable solutions, lower administrative efforts, and powerful shared resources. In BI world there is a high demand for solutions to be on cloud, some computing services such as data transfer and ETL to be done on cloud, some data analysis and mining solutions happens on cloud, and even data to be stored on cloud data warehouse at some stage. There are many BI vendors in the market, but there are few who provide BI on the cloud.

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Walk-through Steps: I’m New to BI, Where to Start? – Part 6: Data Mining

Posted on by Reza Rad

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Data Scientist is a hot job nowadays in the market and there are lots of demand for it. Data Science origins from the BI field and sits under umbrella of Business Intelligence, because the data science and data mining helps decision makers in their decision making process. To have an idea about how data mining can solve real world issues, think about loyalty program of the super market that you usually use close to  your home. Loyalty program simply analyze your purchase history and based on that it comes up with some suggestion and prediction about your next purchases and will promote that through your cell phone text messages or email or even flyers directly addressed to your home address.

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