We partnered with General Fusion to develop and deploy their new Pachyderm-based data infrastructure to Microsoft Azure. This post walks through General Fusion’s new data architecture and how we deployed it to Azure.
Learn how to build a pipeline for processing a corpus of documents to discover its entities and relations, then store the derived relations in a database representing a graph.
Storing and querying big data is very challenging, especially when performing real-time queries on huge amounts of data. In this post, I'll share benchmarking results and compare several big data technologies in the context of genomic data queries.
Identifying relations between miRNAs and genes by creating an entity relation classifier to analyze scientific medical documents.
Creating a Cordova application that uses sensors from a phone to provide streaming input to Azure IoT pipelines and decouples development of IoT hardware from the data and analytics pipeline.
A detailed solution for orchestrating the creation and destruction of an HDInsight cluster via Azure App Services.
A proxy solution enabling customers to reuse existing code with S3 SDKs against Azure Blob Storage.
Implementing spatial capabilities by mapping entities to unique grid numbers in large-scale cloud-based table storage, like Microsoft Azure Table Storage.
Large scale 3D reconstructions created from aerial data captures are quickly becoming an important tool for many industries including commercial construction, agriculture and mining.
Building a website map to visualize real-time geographic data from mobile apps with Event Hubs and SignalR using Leaflet.
