While real-time analytics is clearly on the rise, no one should expect the need for batch-oriented data warehouses to decline any time soon.
Industry pioneer embraces open framework for feeding big R-T data into AI models and apps.
As Apache Kafka-driven projects become more complex, Hortonworks aims to simplify it with its new Streams Messaging Manager
With IoT, AI and machine learning initiatives, the need for an enterprise to establish a data lake is critical. What are the important issues to
MapR's new features are designed for building powerful, real-time streaming and global IoT
Hortonworks' new framework should make it easier for IT teams to track and monitor data flows at a deeper, more granular
Organizations will be able to develop and deploy Apache Kafka applications without the need to lock in their data with
Striim's leading real-time data integration and streaming analytics platform just launched its version 3.8 with some big
Open source data warehouses like MariaDB are blurring the line between real-time analytics and traditional data warehouse
LinkedIn implemented Apache Kafka to handle real-time data feeds and constructed “Gobblin," a data integration and ingestion