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PARQUET-2470: Update website with larger ecosystem emphasis #59

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wgtmac merged 5 commits into from
May 16, 2024
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PARQUET-2470: Update website with larger ecosystem emphasis #59

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PARQUET-2470: Update website with larger ecosystem emphasis
alamb May 13, 2024
daafc1d
Update content/en/_index.md
alamb May 13, 2024
bc8a832
Use uniform description and remove specific technology references
alamb May 15, 2024
2cb88a0
Merge remote-tracking branch 'origin/production' into alamb/less_hadoop
alamb May 15, 2024
11aa0f7
remove conflict marker
alamb May 15, 2024
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5 changes: 4 additions & 1 deletion content/en/_index.md
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Expand Up @@ -9,7 +9,10 @@ title: Parquet
<a class="btn btn-lg btn-secondary me-3 mb-4" href="/blog/">
Download <i class="fab fa-github ms-2 "></i>
</a>
<p class="lead mt-5">Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.</p>
<p class="lead mt-5">
Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval.
It provides high performance compression and encoding schemes to handle complex data in bulk and is supported in many programming language and analytics tools.
</p>
{{< blocks/link-down color="info" >}}
{{< /blocks/cover >}}

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6 changes: 3 additions & 3 deletions content/en/docs/Overview/_index.md
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Expand Up @@ -6,11 +6,11 @@ description: >
All about Parquet.
---

Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language.
Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval.
It provides high performance compression and encoding schemes to handle complex data in bulk and is supported in many programming language and analytics tools.
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@vinooganesh vinooganesh May 15, 2024 •
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Did we mean for this to say "high performance compression" or is it "high performance, compression"? I think it may be the latter. Or maybe "It provides performant compression and encoding schemes..." I was thinking the first versions sound too much like the compression tool rather than the format

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@alamb alamb May 15, 2024

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I didn't mean for the comma or lack there of to carry any additional semantic meaning. I am happy to put a comma there if you like

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@vinooganesh vinooganesh May 15, 2024

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No really strong feelings, was just wondering if there was a subtextual focus intended


This documentation contains information about both the [parquet-mr](https://github.com/apache/parquet-mr) and [parquet-format](https://github.com/apache/parquet-format) repositories.


### parquet-format

The parquet-format repository hosts the official specification of the Apache Parquet file format, defining how data is structured and stored. This specification, along with Thrift metadata definitions and other crucial components, is essential for developers to effectively read and write Parquet files. The parquet-format project specifically contains the format specifications needed to understand and properly utilize Parquet files.
Expand Down Expand Up @@ -43,4 +43,4 @@ Here is a non-exhaustive list of Parquet implementations:
* [cuDF](https://github.com/rapidsai/cudf)
* [Apache Impala](https://github.com/apache/impala)
* [DuckDB](https://github.com/duckdb/duckdb)
* [fastparquet, a Python implementation of the Apache Parquet format](https://github.com/dask/fastparquet)
* [fastparquet, a Python implementation of the Apache Parquet format](https://github.com/dask/fastparquet)
2 changes: 1 addition & 1 deletion static/doap_Parquet.rdf
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<homepage rdf:resource="http://parquet.apache.org" />
<asfext:pmc rdf:resource="http://parquet.apache.org" />
<shortdesc>Apache Parquet is a general-purpose columnar storage format.</shortdesc>
<description>Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides efficient data compression and encoding schemes with enhanced performance to handle complex data in bulk. Parquet is available in multiple languages including Java, C++, and Python.</description>
<description>Apache Parquet is an open source, column-oriented data file format designed for efficient data storage and retrieval. It provides high performance compression and encoding schemes to handle complex data in bulk and is supported in many programming language and analytics tools.</description>
<bug-database rdf:resource="https://issues.apache.org/jira/browse/PARQUET" />
<mailing-list rdf:resource="https://parquet.apache.org/community/" />
<download-page rdf:resource="https://parquet.apache.org/blog/2023/05/18/1.13.1/" />
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