Apache Spark is a powerful open-source engine used for processing complex, memory-intensive workloads to create data pipelines or to build and train machine learning models. Running Spark on a cloud data activation platform enables rapid processing of petabyte size datasets. Qubole runs the biggest Spark clusters in the cloud and supports a broad variety of use cases from ETL and machine learning to analytics. Qubole supports a performance-enhanced and cloud-optimized version of the open source framework Apache Spark. Qubole brings all of the cost and performance optimization features of Qubole’s cloud native data platform to Spark workloads. Qubole improves the performance of Spark workloads with enhancements such as fast storage, distributed caching, advanced indexing, metadata caching, job isolation on multi-tenant clusters. Qubole has open sourced SparkLens, a Spark profiler that provides insights into Spark application that help users optimize their Spark workloads. In this webinar, you’ll learn:
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