Santosh has Developed event-driven data pipelines using technologies like Azure Event Hub, Databricks, and Synapse Analytics ...

Confluent drives enterprise efficiency with its Apache Kafka-powered platform, strong revenue growth, and cloud-focused ...

In today’s fast-moving digital world, data alone isn’t enough, and speed matters more than ever. Businesses must not only gather information but also act on it ...

Arjun Malhotra's work offers a blueprint for building explainable, adaptive, and compliant analytics platforms, demonstrating ...

Open-source distributed OLAP database and powerful SaaS counterpart shine with plug-in indexes, signature tunable star-tree index, and ability to combine batch data with streaming data.

By unifying batch and streaming processing, the company is addressing a real pain point for organizations trying to build AI agents that can operate effectively in real-time business environments.

Virgin Australia is using the Confluent data streaming platform to power a growing range of customer experience features, from automated rebooking of flights to journey and baggage tracking tools ...

Batch Processing for Improved Throughput. Batching multiple messages together before sending them to Kafka brokers is a key optimization technique. ... Thanks to AutoMQ's complete Kafka compatibility, ...

Batch data processing is too slow for real ... sources to the right location for AI use is a challenging ... an Amazon S3 cloud storage bucket or a streaming data message in Apache Kafka.

AutoMQ is a cloud-native alternative to Kafka by decoupling durability to S3 and EBS. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency. - AutoMQ: Cloud ...