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

Co-authored-by: Ed Seidl <[email protected]>

content/en/_index.md

@@ -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 >}}
 

content/en/docs/Overview/_index.md

@@ -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.
 
 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.
@@ -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)

static/doap_Parquet.rdf

@@ -28,7 +28,7 @@
     <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/" />