The automotive industry transforms rapidly. Cars are now software-defined vehicles (SDVs) that demand constant, real-time data flow. This post highlights…
Confluent, Databricks, and Snowflake are trusted by thousands of enterprises to power critical workloads—each with a distinct focus: real-time streaming,…
In today’s digital landscape, cybersecurity faces mounting challenges from sophisticated threats like ransomware, phishing, and supply chain attacks. Traditional defenses…
In today's data-driven world, understanding data at rest versus data in motion is crucial for businesses. Data streaming frameworks like…
Data integration is a hard challenge in every enterprise. Batch processing and Reverse ETL are common practices in a data…
Data streaming unifies OT/IT workloads by connecting information from sensors, PLCs, robotics and other manufacturing systems at the edge with…
Apache Kafka became the de facto standard for data streaming. However, the combination of an event-driven architecture with request-response APIs…
Apache Kafka is the de facto standard for data streaming to process data in motion. With its significant adoption growth…
This blog post explores the state of data streaming for the healthcare industry powered by Apache Kafka and Apache Flink.…
SCADA control systems are a vital component of IT/OT modernization. The old IT/OT infrastructure and SCADA system are monolithic, proprietary,…