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The following commit(s) were added to refs/heads/asf-site by this push:
new 36600bc9d1 Add Lightning catalog to the third-party projects (#573)
36600bc9d1 is described below
commit 36600bc9d190ad5698955f26ea63b1d25692a9c3
Author: jason-zetaris <[email protected]>
AuthorDate: Sat Jan 25 11:44:12 2025 +1100
Add Lightning catalog to the third-party projects (#573)
---
site/third-party-projects.html | 1 +
third-party-projects.md | 1 +
2 files changed, 2 insertions(+)
diff --git a/site/third-party-projects.html b/site/third-party-projects.html
index 5613379cd1..81188e3a79 100644
--- a/site/third-party-projects.html
+++ b/site/third-party-projects.html
@@ -222,6 +222,7 @@ transforming, and analyzing genomic data using Apache
Spark</li>
<li><a href="https://github.com/salesforce/TransmogrifAI";>TransmogrifAI</a>
- AutoML library for building modular, reusable, strongly typed machine
learning workflows on Spark with minimal hand tuning</li>
<li><a href="https://github.com/JohnSnowLabs/spark-nlp";>Natural Language
Processing for Apache Spark</a> - A library to provide simple, performant, and
accurate NLP annotations for machine learning pipelines</li>
<li><a href="http://rumbledb.org";>Rumble for Apache Spark</a> - A JSONiq
engine to query, with a functional language, large, nested, and heterogeneous
JSON datasets that do not fit in dataframes.</li>
+ <li><a href="https://github.com/zetaris/lightning-catalog";>Lightning
Catalog</a> - A data catalog for running ad-hoc queries, wrangling data by
federating enterprise data assets, and building a unified semantic layer with
data quality checks.</li>
</ul>
<h2>Performance, monitoring, and debugging tools for Spark</h2>
diff --git a/third-party-projects.md b/third-party-projects.md
index fa3eeaba06..70e4fdfa6f 100644
--- a/third-party-projects.md
+++ b/third-party-projects.md
@@ -68,6 +68,7 @@ transforming, and analyzing genomic data using Apache Spark
- <a href="https://github.com/salesforce/TransmogrifAI";>TransmogrifAI</a> -
AutoML library for building modular, reusable, strongly typed machine learning
workflows on Spark with minimal hand tuning
- <a href="https://github.com/JohnSnowLabs/spark-nlp";>Natural Language
Processing for Apache Spark</a> - A library to provide simple, performant, and
accurate NLP annotations for machine learning pipelines
- <a href="http://rumbledb.org";>Rumble for Apache Spark</a> - A JSONiq engine
to query, with a functional language, large, nested, and heterogeneous JSON
datasets that do not fit in dataframes.
+- <a href="https://github.com/zetaris/lightning-catalog";>Lightning Catalog</a>
- A data catalog for running ad-hoc queries, wrangling data by federating
enterprise data assets, and building a unified semantic layer with data quality
checks.
<h2>Performance, monitoring, and debugging tools for Spark</h2>
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