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This article discusses the key considerations for Solution Architects, and Data Engineers when sizing infrastructure for Quantexa. Quantexa makes use of four underlying platforms: Batch Tier Apache Spark and the associated data storage platform (HDFS or Cloud object store). Dynamic / Application Tier Elasticsearch (or…
The purpose of this article is to guide organizations on the benefits and implementation practices of centralizing data sources when deploying Quantexa for overlapping use cases. It provides a comprehensive understanding of the process, from deciding which data sources to centralize based on use case and data source…
For further reading, please visit (login required): 1. Useful Elasticsearch API Calls 2. Quantexa's Application tier - the case for a stateless architecture 3. Deprecation of Scoring Framework 1 4. Deploying Quantexa's Application tier on OpenShift Container Platform (OCP) 5. Quantexa Platform Security Design for Solution…
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