Download JAR files tagged by analytics with all dependencies

Quark (/ˈkwɔrk/ or /ˈkwɑrk/) is a federation layer over the databases in a analytics stack. It provides a federated schema that maps tables in multiple database systems. With the help of the federated schema, Quark makes it possible to define and use materialized views, olap cubes and other relationships between tables stored in different databases. Quark comes with a simple execution layer that redirects queries to use materialized views or cubes. Quark is distributed as a JDBC jar and will work with most tools that integrate through JDBC.

Azure Video Analyzer provides a platform to build intelligent video applications that span the edge and the cloud. The platform offers the capability to capture, record, and analyze live videos along with publishing the results, video, and video analytics, to Azure services in the cloud or the edge. It is designed to be an extensible platform, enabling you to connect different video analysis edge modules such as Cognitive services containers, custom edge modules built by you with open-source machine learning models or custom models trained with your own data. You can then use them to analyze live video without worrying about the complexity of building and running a live video pipeline. Use the client library for Video Analyzer Edge to simplify interactions with the Microsoft Azure IoT SDKs (https://github.com/azure/azure-iot-sdks) and programmatically construct pipeline topologies and live pipelines.

Concourse is a distributed database warehouse for transactions, search, and analytics across time. Developers use Concourse to quickly build mission critical software while also benefiting from real time insight into their most important data. With Concourse, end-to-end data management requires no extra infrastructure, no prior configuration and no additional coding–all of which greatly reduce costs and allow developers to focus on core business problems.