spark
Data processor
An analytics engine designed to handle large-scale data processing and analysis
Apache Spark - A unified analytics engine for large-scale data processing
40k stars
2k watching
28k forks
Language: Scala
last commit: almost 2 years agoLinked from 9 awesome lists
big-datajavajdbcpythonrscalasparksql
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konopski/awsome-name-conflictsRelated projects:
| Repository | Description | Stars |
|---|---|---|
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 svenkreiss/pysparkling | A lightweight Python implementation of Spark's RDD and DStream interfaces for improved performance on small datasets | 262 |
 spiritlab/spark | A research-focused implementation of Apache Spark with homomorphic encryption support | 3 |
 databricks/spark-xml | A library that parses and queries XML data in Apache Spark | 504 |
 instaclustr/sample-kafkasparkcassandra | An introductory Scala app using Apache Spark Streaming to process data from Kafka and write summaries to Cassandra. | 23 |
 tweag/sparkle | A tool for creating resilient, scalable analytics applications with Haskell on top of Apache Spark | 447 |
| apache/samza | A distributed stream processing framework for handling high-volume data streams with fault tolerance and durability guarantees | 817 |
 kotlin/kotlin-spark-api | Provides compatibility and extensions between Kotlin and Apache Spark for big data processing | 463 |
| databricks/spark-csv | A library for parsing and querying CSV data with Apache Spark | 1,052 |
 irvingc/dbscan-on-spark | An implementation of the DBSCAN clustering algorithm on top of Apache Spark | 184 |
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 helgeho/archivespark | A framework for efficient data processing and extraction from archival collections, enabling the transformation of raw data into more accessible formats. | 145 |
 sparklyr/sparklyr | An R interface to Apache Spark for distributed data analysis and machine learning | 955 |