LinkedIn has made Kafka Monitor, a framework for monitoring and testing Kafka deployments, open source, and it's now available on Github. It continuously monitors SLAs in production clusters and runs regression tests in test clusters.
IBM scientists successfully demonstrated storing 3 bits of data per cell on a comparatively new memory technology called phase-change memory (PCM). This breakthrough is hailed as vital for fast and easy storage of extreme data sizes from mobile and the Internet of Things due to its read/write speed, endurance, density, and non-volatility.
NoSQL may be making a dent in the $46 billion database market – but relational databases continue to dominate big data.
At last week's Strata + Hadoop World 2016 in San Jose, California, a team of data scientist managers shared observations about hiring the right types of people and ensuring they are both productive for the business and challenged and satisfied in their jobs.
IT systems integrator Shadow-Soft has built a new database appliance featuring EDB Postgres and storage array technology from Tegile Systems and Cisco. The new product is dubbed NexxoData, and it is a converged infrastructure that simplifies migration from proprietary databases to enterprise-grade open-source Postgres.
Check out Jessica Davis' post and slideshow in InformationWeek on Hadoop's ecosystem evolution and ten cool big data projects. My, how far we've come in so little time. It's great to...
The Cloud Standards Customer Council (CSCC), an end-user advocacy group focused on the technical and other details of cloud use, released two white papers you may find helpful. The most recent is...
Open source policy initiatives in the United States, Europe, and Asia are pushing government agencies to move from traditional databases to open source DMBS. Further evidence that open source is taking over the world. Case in point: a rise in PostgreSQL adoption.
Software AG released its findings on top trends in integration, APIs and master data management based on an analysis of its own sizable customer base's actions. The results reveal how businesses are attacking the problem of the need for speed. Faster transformation, after all, is not only key to remaining competitive but to surviving an ever-changing marketscape.
BlueData's Tom Phelan wrote an interesting post on prioritizing big data workloads using Docker that I think you'll find useful.