spark-clickhouse-connector
mmlspark
spark-clickhouse-connector | mmlspark | |
---|---|---|
1 | 2 | |
167 | 2,489 | |
2.4% | - | |
8.1 | 9.3 | |
25 days ago | over 2 years ago | |
Scala | Scala | |
Apache License 2.0 | MIT License |
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spark-clickhouse-connector
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SQL should be your default choice for data engineering pipelines
Agree with the OP that SQL will almost assuredly still be in use for 20+ years in the future, given the simplicity and flexibility of the declarative language, standardization, and as applicable to today as it was then to our big data problems.
Any discussion of SQL at scale must include ClickHouse [https://clickhouse.com/docs/en/install#self-managed-install], given it's broad open-source use, integrations available for Spark with JDBC [https://github.com/ClickHouse/clickhouse-jdbc/] or the open-source Spark-ClickHouse Connector [https://github.com/housepower/spark-clickhouse-connector], and capability to scale SQL as a network service.
Disclosure: I work for ClickHouse
mmlspark
What are some alternatives?
distrobox - Use any linux distribution inside your terminal. Enable both backward and forward compatibility with software and freedom to use whatever distribution you’re more comfortable with. Mirror available at: https://gitlab.com/89luca89/distrobox
SynapseML - Simple and Distributed Machine Learning
isolation-forest - A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
polyaxon - MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
dbt-unit-testing - This dbt package contains macros to support unit testing that can be (re)used across dbt projects.
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
Spark Utils - Basic framework utilities to quickly start writing production ready Apache Spark applications
metarank - A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine
dblink - Distributed Bayesian Entity Resolution in Apache Spark
Spark Tools - Executable Apache Spark Tools: Format Converter & SQL Processor