Spark Streaming
Showing 8 of 8 projects
.NET for Apache Spark provides high-performance .NET APIs for Apache Spark, enabling C# and F# developers to work with structured and streaming data.
C# and F# language binding and extensions for Apache Spark, enabling .NET developers to write Spark driver programs and data processing operations.
A comprehensive learning guide and interview refresher for Apache Spark, covering core concepts, architecture, and performance optimization.
A Spark Streaming library for mining big data streams with incremental learning algorithms.
A visual development platform for building, deploying, and managing streaming analytics applications with multiple engine bindings.
A reactive stream programming framework for live data computation with concurrent asynchronous operations.
A Scala sample application demonstrating Spark Streaming integration with Kafka and Cassandra for data processing.
A framework for building metadata repositories, currently featuring a SchemaRegistry implementation.
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