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MileIQ and Azure Event Hubs: Billions of miles streamed

This post was co-authored by Shubha Vijayasarathy, Program Manager, Azure Messaging (Event Hubs) With billions of miles logged, MileIQ provides stress-free logging and accurate mileage reports for millions of drivers. Logging and reporting miles driven is a necessity for independent ... continue reading
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New capabilities in Stream Analytics reduce development time for big data apps

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 ... continue reading
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Thanks for 10 years and welcome to a new chapter in SQL innovation

Tomorrow, July 9, 2019, marks the end of extended support for SQL Server 2008 and 2008 R2. These releases transformed the database industry, with all the core components of a database platform built-in at a fraction of the cost of ... continue reading
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Monitoring on Azure HDInsight Part 3: Performance and resource utilization

This is the third blog post in a four-part series on Monitoring on Azure HDInsight. Part 1 is an overview that discusses the three main monitoring categories: cluster health and availability, resource utilization and performance, and job status and logs ... continue reading
Azure Event Hubs Pipeline

Announcing self-serve experience for Azure Event Hubs Clusters

For businesses today, data is indispensable. Innovative ideas in manufacturing, health care, transportation, and financial industries are often the result of capturing and correlating data from multiple sources. Now more than ever, the ability to reliably ingest and respond to ... continue reading
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A look at Azure’s automated machine learning capabilities

The automated machine learning capability in Azure Machine Learning service allows data scientists, analysts, and developers to build machine learning models with high scalability, efficiency, and productivity all while sustaining model quality. Automated machine learning builds a set of machine ... continue reading
Lenses for HDInsight

Visual data ops for Apache Kafka on Azure HDInsight, powered by Lenses

This blog was written in collaboration with Andrew Stevenson, CTO at Lenses. Apache Kafka is one of the most popular open source streaming platforms today. However, deploying and running Kafka remains a challenge for most. Azure HDInsight addresses this challenge ... continue reading
cosmosdb

A Cosmonaut’s guide to the latest Azure Cosmos DB announcements

At Microsoft Build 2019 we announced exciting new capabilities, including the introduction of real-time operational analytics using new built in support for Apache Spark and a new Jupyter notebook experience for all Azure Cosmos DB APIs. We believe these capabilities ... continue reading
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Planet scale operational analytics and AI with Azure Cosmos DB

We’re excited to announce new Azure Cosmos DB capabilities at Microsoft Build 2019 that enable anyone to easily build intelligent globally distributed apps running at Cosmos scale: Planet scale, operational analytics with built-in support for Apache Spark in Azure Cosmos ... continue reading
Microsoft Azure services

Spark + AI Summit – Developing for the intelligent cloud and intelligent edge

We are truly at a unique tipping point in the history of technology. The pace of growth is more rapid than ever before, with estimates of more than 150B connected devices and data growth up to 175 Zettabytes by 20251 ... continue reading
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