Azure users can now deploy Cribl Stream’s data routing and processing on the Azure platform to better manage IT and security data in the cloud. Data processing platform developer Cribl is extending ...

Since its debut, Tableflow has transformed how organizations make streaming data analytics-ready. It eliminates brittle ETL jobs and manual Lakehouse integrations that slow teams down. With Delta Lake ...

Confluent is positioning itself as the "context layer for enterprise AI" with new capabilities that aim to solve the problem ...

Overview: The best tools for real-time data science analytics in 2025 enable instant insights from streaming data.Apache ...

Building agentic AI is hard. AI agents power scalable generative AI (GenAI) adoption that drives business transformation, but many organizations face challenges with governance and data complexity.

In this session of our Azure Databricks Training series, we’ll teach you how to connect directly to data sources like TCP/IP sockets and the Kafka messaging system, transform and output data, and ...

Streaming data records are typically small, measured in mere kilobytes, but the stream often goes on and on without ever stopping. Streaming data, also called event stream processing, is usually ...

Microsoft has beefed up several data analytics offerings in its Azure cloud platform, headed by the general availability of Azure Data Explorer. Azure Data Explorer fosters real-time analytics of ...

Streaming data is generated continuously, often by thousands of data sources, such as sensors or server logs. Streaming data records are often small, perhaps a few kilobytes each, but there are many ...

BELLEVUE, Wash.--(BUSINESS WIRE)--ScaleOut Software today announced major extensions to the ScaleOut Digital Twin Streaming Service™ that integrate its Azure-based in-memory computing platform with ...