Graph databases like Neo4j are ideal for modeling complex relationships between collections of users--and they move through big data at lightspeed. This tutorial gets you started with graph databases and analytics in Java. Read More ▶ | | | White Paper: BugSnag The success of an application is connected to stability and continuous improvements in capabilities. It's a difficult task for DevOps: rapid, innovative product releases, while maintaining software stability. This white paper explains how to leverage visibility and actionable intelligence to optimize for short development cycles while identifying and correcting errors before they become problems. Read More ▶ | Kotlin, machine learning, and greater app compatibility get attention in the latest Google developer tools Read More ▶ | | Multi-model Azure database combines global reach and a choice of five consistency models, allowing you to trade off cost for consistency Read More ▶ | | Java 8 will be remembered mainly for introducing lambdas, streams, a new date/time model, and Nashorn--but don't miss the new Base64 API. It could be just what you need to ensure data integrity in transit. Read More ▶ | | | White Paper: Qubole Inc The cloud and big data are really a perfect match as the dynamic scalability and affordability of the cloud match well with the massive scale and "bursty" nature of resources that are required for big data analytics. Whether you are just evaluating cloud big data platforms or already running big data in the cloud - this guide is for you. Read More ▶ | | | |