Core authentication API module for Apereo CAS providing fundamental authentication interfaces, implementations, and components for the CAS server infrastructure

Apache Tika Core provides the foundational APIs for detecting and extracting metadata and structured text content from various document formats.

Apache Thrift Java Library - A lightweight, language-independent software stack for point-to-point RPC implementation providing clean abstractions and implementations for data transport, data serialization, and application level processing

Apache Spark's integration with Hadoop YARN cluster manager for running Spark applications on YARN clusters

YARN integration support for Apache Spark cluster computing, enabling Spark applications to run on Hadoop YARN clusters

Java annotations module for Apache Spark test categorization and API stability markers

Annotation library for Apache Spark test categorization and API stability markers

Annotation utilities for Apache Spark providing API stability annotations and test categorization tags

PySpark Streaming module that enables scalable, high-throughput, fault-tolerant stream processing of live data streams in Python

MQTT receiver for Apache Spark Streaming that enables real-time processing of messages from MQTT brokers

Apache Spark Streaming integration with ZeroMQ message queue system for real-time data processing

Twitter feed receiver for Apache Spark Streaming that enables real-time consumption of Twitter data streams

Apache Spark Streaming integration with Amazon Kinesis for real-time processing of streaming data

Spark Streaming integration with Amazon Kinesis for real-time data processing using the Kinesis Client Library

Apache Spark Streaming integration library for consuming data from Amazon Kinesis streams with fault-tolerant checkpointing and automatic shard management

A shaded JAR assembly containing all dependencies needed for Kafka integration with Spark Streaming

Assembly JAR providing Apache Spark integration with Apache Kafka 0.10 for reliable distributed streaming data processing

Interactive Scala shell for Apache Spark enabling distributed data processing and analysis

Apache Spark interactive Scala shell (REPL) for Scala 2.10 providing read-eval-print loop interface for interactive data analysis and cluster computing.

Apache Spark is a unified analytics engine for large-scale data processing with high-level APIs in Scala, Java, Python, and R.