Archives : May-2016

16

May

This post is by Robert Alexander, Solution Architect in the Data Group at Microsoft. Big data is big and getting bigger. Better get used to a whole new set of prefixes beyond peta such as exa, zetta, and yotta. TheRead More

16

May

This post is by Robert Alexander, Solution Architect in the Data Group at Microsoft. Big data is big and getting bigger. Better get used to a whole new set of prefixes beyond peta such as exa, zetta, and yotta. TheRead More

16

May

This post is by Robert Alexander, Solution Architect in the Data Group at Microsoft. Big data is big and getting bigger. Better get used to a whole new set of prefixes beyond peta such as exa, zetta, and yotta. TheRead More

28

Apr

New Quick Insights capability allows you to search dashboard tiles for hidden insights automatically within seconds. Use Quick Insights to discover correlations, outliers, trends, seasonality, change points in trends, and major factors right from the dashboard tiles you are mostRead More

21

Apr

This post is authored by Fidan Boylu Uz, Senior Data Scientist at Microsoft. Predictive Maintenance is among the most sought-after advanced analytics applications, and is increasingly viewed as a life-saver in asset-heavy industries such as manufacturing and aerospace because ofRead More

19

Apr

This post is by Shaheen Gauher, PhD, Data Scientist at Microsoft Introduction Predictive Maintenance is about anticipating failures and taking preemptive actions. Recent advances in machine learning and cloud storage have created a tremendous opportunity to utilize the gamut ofRead More

11

Apr

This blog post is authored by T. J. Hazen, Principal Data Scientist at Microsoft, and Patrick Buehler, Senior Data Scientist at Microsoft. The Masai giraffe is facing a troubling future. Because of habitat loss, illegal hunting and disease, the populationRead More

30

Mar

This post is authored by Andrie de Vries, Senior Program Manager at Microsoft Introduction Azure ML Studio is a powerful canvas for the composition of machine learning experiments and their subsequent operationalization and consumption. In addition to experiments, Azure ML StudioRead More

30

Mar

This post is authored by Andrie de Vries, Senior Program Manager at Microsoft Introduction Azure ML Studio is a powerful canvas for the composition of machine learning experiments and their subsequent operationalization and consumption. In addition to experiments, Azure ML StudioRead More

29

Mar

This post is authored by Julie Strauss, Principal Group Program Manager in the Data Group at Microsoft. We are very excited to announce the upcoming* general availability of Azure Data Catalog, the latest addition to the big data and advancedRead More