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.
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.
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.