In this post, you will learn how to implement a MapReduce job to efficiently extract XML data from HDFS sequence files using a custom RecordReader.
How to take advantage of Microsoft Azure HDInsight to run a remote Hadoop MapReduce job using Apache Templeton.
For various reasons, many customers want the ability to easily and efficiently move data from Amazon Web Services’ Simple Storage Service (S3) to Microsoft Azure storage. In this Case Study, you’ll see how to take the simple notion of cloud file-copy and make it fast and efficient using parallel techniques.
This document provides an overview of Alljoyn and working with the Heatworks water heater.
During the Microsoft Ventures hackathon in May 2015 it became obvious that one of the startups required a standalone Excel-like spreadsheet component for the web. This post describes the resulting React component, how it was built, and how it can be used today.
Creating a Microsoft Azure Machine Learning (MAML) model which predicts diabetics' hypoglycemic events based on blood glucose measurements alone.
At Microsoft, we are working with a number of car manufacturers on processing telemetry streams. One of the key business scenarios for the incoming real-time car telemetry is to offer real-time driver risk scoring for end user driving guidance applications, fleet administration, and usage-based insurance scenarios.
Creating a parser to tokenize arbitrarily complex Excel-like formulas of differing types to enable rapid and accurate evaluation.
