Showing 11 of 11 projects
A distributed, multi-tenant gateway providing serverless SQL on data warehouses and lakehouses.
.NET for Apache Spark provides high-performance .NET APIs for Apache Spark, enabling C# and F# developers to work with structured and streaming data.
Jupyter magics and kernels for interactively working with remote Spark clusters via Livy, Lighter, or Ilum.
C# and F# language binding and extensions for Apache Spark, enabling .NET developers to write Spark driver programs and data processing operations.
A Scala library providing essential Spark extensions, helper methods, and custom transformations to maximize developer productivity.
A comprehensive learning guide and interview refresher for Apache Spark, covering core concepts, architecture, and performance optimization.
A library for parsing and querying XML data with Apache Spark SQL and DataFrames.
A fast, fully-featured, and developer-friendly Clojure API for Apache Spark.
A Spark library for reading and writing data between Spark SQL and MongoDB collections.
An experimental Rust client for Apache Spark Connect, providing a DataFrame API to interact with Spark clusters.
A collection of interactive Jupyter notebooks for learning Hadoop, Spark, and MapReduce with hands-on tutorials and demos.
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