spark-clickhouse-connector
SynapseML
| spark-clickhouse-connector | SynapseML | |
|---|---|---|
| 1 | 18 | |
| 167 | 4,970 | |
| 2.4% | 0.2% | |
| 8.1 | 9.0 | |
| 25 days ago | 4 days ago | |
| Scala | Scala | |
| Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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
SynapseML
- FLaNK Stack Weekly for 12 September 2023
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Microsoft announces new tool for applying ChatGPT and GPT-4 at massive scales
Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.11.0
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Data science in Scala
b) There are libraries around e.g. Microsoft SynapseML, LinkedIn Photon ML
- [N] Microsoft Announces New Integrations with OpenAI and MLFlow
- [N] Microsoft Releases new Integrations with OpenAI and MLflow as part of SynapseML
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[P] Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on large-scale data
Link to Release Notes: https://github.com/microsoft/SynapseML/releases/tag/v0.9.5
- Microsoft releases SynapseML v0.9.5 for distributed geospatial analytics, speech synthesis, and anomaly detection in PySpark.
- [P] SynapseML v0.9.5 announces support for geospatial analytics, speech synthesis, and anomaly detection on large-scale datasets
- Microsoft releases SynapseML v0.9.5 with support for speech synthesis, anomaly detection, and geospatial analytics on Apache Spark
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
mmlspark - Simple and Distributed Machine Learning [Moved to: https://github.com/microsoft/SynapseML]
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
Tensorflow_scala - TensorFlow API for the Scala Programming Language
dbt-unit-testing - This dbt package contains macros to support unit testing that can be (re)used across dbt projects.
deequ - Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.
Breeze - Breeze is a numerical processing library for Scala.
azure-kusto-spark - Apache Spark Connector for Azure Kusto
cobrix - A COBOL parser and Mainframe/EBCDIC data source for Apache Spark
Smile - Statistical Machine Intelligence & Learning Engine