learning-spark
by databricks
Example code from Learning Spark book
AI summary
Spark tutorials
Examples and tutorials for learning Spark using Java and Scala
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A sample implementation of a real-time communication application
CoreNLP wrapper
Wraps Stanford CoreNLP annotators as Spark DataFrame functions for natural language processing tasks
SDK demo
A sample implementation of Spark client SDK in Swift
SDK demo
A demonstration project for integrating Cisco Spark service with an Android device using the Spark Android SDK.
Data processing library
A Python package that allows users to work with pandas DataFrames on top of Apache Spark
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A Docker-based environment for running Spark and Iceberg in a quick start scenario.
TensorFlow Spark transformer
Enables manipulation of Apache Spark DataFrames using TensorFlow programs
Clustering algorithms library
Implementations of clustering algorithms using Spark in Scala
XML parser
A library that parses and queries XML data in Apache Spark
Deep learning framework
A PyTorch implementation on Apache Spark for distributed deep learning model training and inference.
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Web framework
A lightweight Java web framework with a Kotlin DSL for building simple web applications.
NLP toolkit
Provides a set of pre-trained models and libraries for natural language processing tasks on top of Apache Spark
Data fixer
A Spark-based package to apply data fixes using rule-based SQL conditions
Spark Analysis
An in-depth analysis of Apache Spark's design and implementation
