Big Data

MileIQ and Azure Event Hubs: Billions of miles streamed

quinta-feira, 18 de julho de 2019

MileIQ automates mileage logging to create accurate records of miles driven, minimizing the effort and time needed with manual calculations. Real-time mileage tracking produces over a million location signal events per hour, requiring fast and resilient event processing that scales.

Sr. Software Engineer, Mobile Data Labs

New capabilities in Stream Analytics reduce development time for big data apps

terça-feira, 16 de julho de 2019

Azure Stream Analytics is a fully managed PaaS offering that enables real-time analytics and complex event processing on fast moving data streams. Thanks to zero-code integration with over 15 Azure services, developers and data engineers can easily build complex pipelines for hot-path analytics within a few minutes.

Principal Program Manager, Azure Big Data

Event-driven analytics with Azure Data Lake Storage Gen2

quarta-feira, 26 de junho de 2019

Most modern-day businesses employ analytics pipelines for real-time and batch processing. A common characteristic of these pipelines is that data arrives at irregular intervals from diverse sources. This adds complexity in terms of having to orchestrate the pipeline such that data gets processed in a timely fashion.

Senior Program Manager, Azure Storage

Build more accurate forecasts with new capabilities in automated machine learning

quinta-feira, 6 de junho de 2019

Build more accurate forecasts with the release of capabilities in automated machine learning. Have scenarios that require have gaps in training data or need to apply contextual data to improve your forecast or need to apply lags to your features? Learn more about the new capabilities that can assist you.

Senior Program Manager, Azure Machine Learning