A unified analytics engine for large-scale data processing that supports batch processing, real-time streaming, machine learning, and SQL queries.

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Frequently asked questions
The following are the minimum system requirements for Charmed Apache Spark:
· 8GB of storage.
· 2 CPU threads per host.
· Access to the internet for downloading the Canonical Apache Spark image.
· Access to a Kubernetes cluster, e.g. MicroK8s or Charmed Kubernetes.
For more details, refer to the Apache Spark hardware provisioning.
Apache Spark is primarily used to manage and accelerate large-scale data workloads across various domains. Its core use cases include high-speed ETL (Extract, Transform, Load) operations, where it efficiently cleans and prepares massive datasets before moving them to storage or data warehouses. It is also the platform of choice for running complex, interactive SQL queries and deep business intelligence analysis against big data, serving as a powerful, unified data warehousing solution.
Beyond batch processing, Spark is critical for advanced, low-latency analytics. This involves real-time stream processing of live data (like financial trades or IoT sensor readings) using Spark Streaming or Structured Streaming. Furthermore, its built-in MLlib library enables the development and distributed training of large-scale machine learning models, and its GraphX component is used for analyzing relationships in network data for tasks such as social network analysis and fraud detection.
Kamatera’s VPS cloud servers are ideal for organizations that require high discretion and security. Apart from offering a secure virtual environment for operations, our cloud services provide these advantages:
· Reliable and resilient cloud networks, which eliminate the risk of technical failures by collecting resources from the shared infrastructure
· Increased data privacy
· Energy efficiency by using shared electrical resources
Kamatera offers a free 30-day trial period. This free trial offers services worth up to $100 on 1 server. After signing up, you can use the management console to deploy a server and test our infrastructure. You can select a data center, operating system, CPU, RAM, storage, and other system preferences.
