When we think about our friend Gremlin of Apache TinkerPop™, we typically imagine him traversing a graph, bounding from vertex to edge to vertex, all the while aggregating, filtering, sacking, matching into complex recursions that ultimately provide the answer to the question we asked of him.
DSE Advanced Replication builds on the multi-datacenter support in Apache Cassandra(R) to facilitate scenarios that require selective or "hub and spoke" replication. DSE Advanced Replication is specifically designed to tolerate sporadic connectivity that can occur in constrained environments, such as retail, oil-and-gas remote sites, and cruise ships. DSE Advanced Replication in DSE 5.1 improves design and performance characteristics. In this blog post we discuss design decisions that led to these DSE 5.1 changes.
Runtime and compilation time dependency management can be a difficult task. The Spark Build Examples project is designed to help Spark beginners quickly bootstrap and extend their first Spark Application with custom dependencies. It does that by providing number of template projects for different programing languages and different build tools. Moreover it shows different techniques like assembling and shading which help overcoming common dependency-related problems.
One sign of great data visualization is that you can quickly and accurately interpret the provided information without having to think much about the mechanics of the visualization itself. In Studio 2.0.0 we added a few features to the Graph View that enable this type of seamless storytelling.