alamb commented on code in PR #254:
URL: https://github.com/apache/arrow-site/pull/254#discussion_r1006888176
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_posts/2022-10-20-datafusion-13.0.0.md:
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+---
+layout: post
+title: "Apache Arrow DataFusion 13.0.0 Project Update"
+date: "2022-10-20 00:00:00"
+author: pmc
+categories: [release]
+---
+<!--
+{% comment %}
+Licensed to the Apache Software Foundation (ASF) under one or more
+contributor license agreements. See the NOTICE file distributed with
+this work for additional information regarding copyright ownership.
+The ASF licenses this file to you under the Apache License, Version 2.0
+(the "License"); you may not use this file except in compliance with
+the License. You may obtain a copy of the License at
+
+http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License.
+{% endcomment %}
+-->
+
+# Introduction
+
+[Apache Arrow DataFusion](https://arrow.apache.org/datafusion/)
[`13.0.0`](https://crates.io/crates/datafusion) is released, and this blog
contains an update on the project for the 5 months since our [last update in
May 2022](https://arrow.apache.org/blog/2022/05/16/datafusion-8.0.0/).
+
+DataFusion is an extensible and embeddable query engine, written in Rust used
to create modern, fast and efficient data pipelines, ETL processes, and
database systems. You may want to check out DataFusion to extend your Rust
project with:
+
+- [SQL
support](https://arrow.apache.org/datafusion/user-guide/sql/sql_status.html),
+- [DataFrame
API](https://docs.rs/datafusion/13.0.0/datafusion/dataframe/struct.DataFrame.html),
+- A custom Domain Specific Query Language
+- The ability to easily and quickly read and process Parquet, JSON, Avro or
CSV data.
+- To read from remote object stores such as AWS S3, Azure Blob Storage, GCP.
+
+Even though DataFusion is 4 years "young," it has seen significant community
growth in the last few months and the momentum continues to accelerate.
+
+# Background
+
+
+DataFusion is used as the engine in [many open source and commercial
projects](https://github.com/apache/arrow-datafusion#known-uses) and was one of
the early open source projects to provide this capability. 2022 has validated
our belief in the need for such a ["LLVM for database and AI
systems"](https://www.slideshare.net/AndrewLamb32/20220623-apache-arrow-and-datafusion-changing-the-game-for-implementing-database-systemspdf)
with announcements such as the [release of FaceBook's
Velox](https://engineering.fb.com/2022/08/31/open-source/velox/) engine, the
major investments in
[Acero](https://arrow.apache.org/docs/cpp/streaming_execution.html) as well as
the continued popularity of [Apache Calcite](https://calcite.apache.org/) and
other similar technologies.
Review Comment:
Thanks for the report -- I will add the slideshare link as an alternate one:
https://github.com/apache/arrow-site/pull/263
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