For our own troubleshooting needs, the Azure Data Explorer team wanted to run ad-hoc queries on the massive telemetry data stream produced by our service. Finding no suitable solution, we decided to create one.
Showing 1 – 10 of 21 posts found
Today we are unveiling Microsoft Fabric—an end-to-end, unified analytics platform that brings together all the data and analytics tools that organizations need.
Azure for Operators is introducing a network analytics solution accelerator program, providing a standardized approach to data acquisition and visualization that aids operators on their journey toward complete end-to-end AI Operations (AIOps).
Gartner has positioned Microsoft as a Leader in the Gartner Magic Quadrant for Industrial IoT Platforms for the second year in a row. And Frost and Sullivan named the platform the Global IoT platform of the year. In 2022, Microsoft continues to double down on Azure services to provide enterprises with business-critical IoT solutions.
The Microsoft Intelligent Data Platform, empowers organizations to invest more time creating value rather than integrating and managing their data estate. It integrates best-in-class solutions across Microsoft’s technology stack—breaking down data siloes and enabling organizations to extract real-time insights with the data governance needed to run the business safely.
Azure Data Explorer, a component of Azure Synapse Analytics, is a highly scalable analytics service optimized for structured, semi-structured, and unstructured data. It provides users with an interactive query experience that unlocks insights from the ocean of ever-growing log and telemetry data. It is the perfect service to analyze high volumes of fresh and historical data in the cloud by using SQL or the Kusto Query Language (KQL), a powerful and user-friendly query language. The GigaOm report shows that Azure Data Explorer provides superior performance at a significantly lower cost than both Snowflake and Google BigQuery.
The continuous monitoring of health metrics is a fundamental part of this process, and this is where AIOps plays a critical role. In the post that follows, we introduce how AI and machine learning are used to empower DevOps engineers, monitor the Azure deployment process at scale, detect issues early, and make rollout or rollback decisions based on impact scope and severity.
Microsoft Kaizala is a secure work management and mobile messaging app for mobile-only users. Today, we’re sharing some of our learnings about managing and scaling an enterprise grade productivity app resulting from the increased usage related to working from home.
Azure Data Share in-place Sharing for Azure Data Explorer, now generally available, enables you to share big data easily and securely between internal departments and with external partners, vendors, or customers for near real-time collaboration.
Anomaly detection plays a vital role in many industries across the globe, such as fraud detection for the financial industry, health monitoring in hospitals, fault detection and operating environment monitoring in the manufacturing, oil and gas, utility, transportation, aviation, and automotive industries.