What is Databricks and how does it work?
Databricks is a compact data management platform that enables businesses to unify their analytics, data and AI, storing them all in a secured location. Users get to unify their entire data ecosystem belonging to different standards and formats. The software includes collaborative features allowing team members to work together across the entire data and AI workflow. It also brings collaborative notebooks within a unified portal enabling companies to work easily with Python, R SQL and Scala. Databricks includes openness and flexibility which provides reliability and performance within the data warehouses. These qualities of the platform make it a perfect solution for structured, unstructured and semi-structured data types. With Databricks, businesses can use their existing BI tools to analyse the updated metrics in real-time. Furthermore, the software also comes equipped with a heap of solutions facilitating a complete ML lifecycle management which supports any data type across multiple scales. This ML lifecycle also enables businesses to train models and manage their deployment in a way that best serves their individual purposes.
Read moreWhat is Shakudo and how does it work?
An end-to-end AI platform built for the way you work. Hyperplane combines the best tools and frameworks in the industry to seamlessly bring ideas to production. For companies, this means less capital investment in getting AI solutions to market. For the world, it means solving complex problems with real impact.
What is Hazelcast IMDG and how does it work?
Hazelcast connects a group of networked/clustered computers to pool their RAM and CPU power, allowing programs to share data structures and conduct parallelized workloads in the cluster. The primary advantage is speed, which has become critical in an environment with billions of mobile, IoT devices, and other sources continuously streaming data. With all relevant information in RAM, there is no need to traverse a network to remote storage for transaction processing. The difference in speed is significant – minutes vs. sub-millisecond response times for complex transactions done millions of times per second. Allows your most popular data APIs to run massive data sets efficiently in an in-memory cluster. For higher densities and lower costs, certified for use with Intel Optane DC Persistent Memory. Through a web-based user interface and cluster-wide JMX and REST APIs, it provides a full view of all cluster activities, as well as adjustable watermarks for warnings.
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