Part 4: Using PowerBI for real-time data analysis

The last and perhaps the most important part of a data analyses is to built a good visualization on the output, transforming the data acquired, cleansed and processed into rich reports, bringing valueable information for the business. Decision can be more precise, accurate and less risk if we have the right data in the right … Continue reading Part 4: Using PowerBI for real-time data analysis

Part 3: Using Machine Learning to calculate chance of precipitation and saving the output

Stream Analytics is used to examine high volumes of data streaming from devices or processes, extract information from that data stream, identify patterns, trends, and relationships. Those patterns can trigger other processes or actions, like alerts, automation workflows, feed information to a reporting tool, or store it for later investigationĀ (checkĀ Stream Analytics Introduction article for more … Continue reading Part 3: Using Machine Learning to calculate chance of precipitation and saving the output