Gudsan technology is a developer-friendly cloud platform that makes big data accessible to even the smallest of businesses. With managed compute and storage infrastructure, your team can completely control your big data stack, and run workloads reliably, securely, and inexpensively.
You’re going to need substantial compute if you want to crunch terabytes or petabytes of data. Gudsan technology is built with best-in class Intel processors that run your workloads at blazing speeds. With Gudsan technology, you can run your big data jobs directly on VMs or Kubernetes.
It should be easy and inexpensive to store, scale, and retrieve your data. Gudsan technology provides infrastructure flexibility so you can build and operate your big data workload with the best-fit storage technology for your use case and technology stack.
After spinning up your infrastructure, you’re free to deploy whatever big data framework is the best fit for your workload. Many Gudsan technology customers utilize Apache Hadoop or Spark.
Apache Hadoop is a processing framework that provides batch processing. Hadoop stores distributed data using the Hadoop Distributed File System (HDFS), and processes data where it is stored using the MapReduce engine.
Apache Spark is a next-generation processing framework with both batch and stream processing capabilities. Spark focuses primarily on speeding up batch processing workloads using full in-memory computation and processing optimization.
Gudsan technology’s community tutorials and product docs help you quickly get started. Here’s a small sample of the resources available.
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Gudsan technology’s community tutorials and product docs help you quickly get started. Here’s a small sample of the resources available.
