A Big Data Modeling Methodology for Apache Cassandra.
Apache Cassandra is a distributed, extremely scalable, highly available and fault tolerant NoSQL database initiated by facebook, later open sourced as an apache project.
Apache Cassandra is a free, open-source project designed to handle huge workloads across several datacentres without a single point of failure, making it a popular choice for IT organisations worldwide. Cassandra provides enterprises with better database availability, scalability and performance and being an open-source project, allows modifying the source code to adapt to organisation's.
Research Papers. Spark was initially developed as a UC Berkeley research project, and much of the design is documented in papers. The research page lists some of the original motivation and direction.
Research Webinars. DataStax has a very interesting write up comparing the original Cassandra paper with Apache Cassandra latest 2.0 release highlighting how Apache Cassandra has evolved over.
Cassandra is an open-source NoSQL database solution offered by Apache. What's nice about Cassandra is its ability to host the data in multiple nodes in a ring, and changes made to a node in the ring will shard the update to the rest. For geographically dispersed architecture requiring local database storage, this can be a valuable asset which makes this NoSQL option stand above the rest.
The Apache Flink community released the first bugfix version of the Apache Flink 1.10 series. Flink Community Update - May'20 Can you smell it? It’s release month! This time around, we’re warming up for Flink 1.11 and peeping back to the past month in the Flink community — with the release of Stateful Functions 2.0, a new self-paced Flink training and some efforts to improve the Flink.
A Queueing Network Model for Performance Prediction of Apache Cassandra: Authors: Dipietro, S Casale, G Serazzi, G: Item Type: Conference Paper: Abstract: NoSQL databases such as Apache Cassandra have attracted large interest in recent years thanks to their high availability, scalability, flexibility and low latency. Still there is limited.