ARROW-3198: [Website] Blog post for the 0.11 release
I think I got most of the highlights, but probably missed some things. Let me know any edits you want to make
Author: Wes McKinney <wesm+git@apache.org>
Closes #2724 from wesm/blog-0.11 and squashes the following commits:
8a6fbcab3 <Wes McKinney> Update date to Oct 9
b6770bff5 <Wes McKinney> Fix typo
1bf6481e7 <Wes McKinney> Blurb about Flight
3c1e0a4a7 <Wes McKinney> Draft 0.11.0 release blog post
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+---
+layout: post
+title: "Apache Arrow 0.11.0 Release"
+date: "2018-10-09 00:00:00 -0400"
+author: wesm
+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 %}
+-->
+
+The Apache Arrow team is pleased to announce the 0.11.0 release. It is the
+product of 2 months of development and includes [**287 resolved
+issues**][1].
+
+See the [Install Page][2] to learn how to get the libraries for your
+platform. The [complete changelog][3] is also available.
+
+We discuss some highlights from the release and other project news in this
+post.
+
+## Arrow Flight RPC and Messaging Framework
+
+We are developing a new Arrow-native RPC framework, Arrow Flight, based on
+[gRPC][11] for high performance Arrow-based messaging. Through low-level
+extensions to gRPC's internal memory management, we are able to avoid expensive
+parsing when receiving datasets over the wire, unlocking unprecedented levels
+of performance in moving datasets from one machine to another. We will be
+writing more about Flight on the Arrow blog in the future.
+
+Prototype implementations are available in Java and C++, and we will be focused
+in the coming months on hardening the Flight RPC framework for enterprise-grade
+production use cases.
+
+## Parquet and Arrow C++ communities joining forces
+
+After discussion over the last year, the Apache Arrow and Apache Parquet C++
+communities decide to merge the Parquet C++ codebase into the Arrow C++
+codebase and work together in a "monorepo" structure. This should result in
+better developer productivity in core Parquet work as well as in Arrow
+integration.
+
+Before this codebase merge, we had a circular dependency between the Arrow and
+Parquet codebases, since the Parquet C++ library is used in the Arrow Python
+library.
+
+## Gandiva LLVM Expression Compiler donation
+
+[Dremio Corporation][5] has donated the [Gandiva][6] LLVM expression compiler
+to Apache Arrow. We will be working on cross-platform builds, packaging, and
+language bindings (e.g. in Python) for Gandiva in the upcoming 0.12 release and
+beyond. We will write more about Gandiva in the future.
+
+## Parquet C GLib Bindings Donation
+
+PMC member [Kouhei Sutou][7] has donated GLib bindings for the Parquet C++
+libraries, which are designed to work together with the existing Arrow GLib
+bindings.
+
+## C++ CSV Reader Project
+
+We have begun developing a general purpose multithreaded CSV file parser in
+C++. The purpose of this library is to parse and convert comma-separated text
+files into Arrow columnar record batches as efficiently as possible. The
+prototype version features Python bindings, and any language that can use the
+C++ libraries (including C, R, and Ruby).
+
+## New MATLAB bindings
+
+[The MathWorks][12] has contributed an initial MEX file binding to the Arrow
+C++ libraries. Initially, it is possible to read Arrow-based Feather files in
+MATLAB. We are looking forward to seeing more developments for MATLAB users.
+
+## R Library in Development
+
+The community has begun implementing [R language bindings and interoperability][8]
+with the Arrow C++ libraries. This will include support for zero-copy shared
+memory IPC and other tools needed to improve R integration with Apache Spark
+and more.
+
+## Support for CUDA-based GPUs in Python
+
+This release includes Python bindings to the Arrow CUDA integration C++
+library. This work is targeting interoperability with [Numba][9] and the [GPU
+Open Analytics Initiative][10].
+
+## Upcoming Roadmap
+
+In the coming months, we will continue to make progress on many fronts, with
+Gandiva packaging, expanded language support (especially in R), and improved
+data access (e.g. CSV, Parquet files) in focus.
+
+[1]: https://issues.apache.org/jira/issues/?jql=project%20%3D%20ARROW%20AND%20status%20in%20(Resolved%2C%20Closed)%20AND%20fixVersion%20%3D%200.11.0
+[2]: https://arrow.apache.org/install
+[3]: https://arrow.apache.org/release/0.11.0.html
+[4]: https://www.apache.org/dyn/closer.cgi/arrow/arrow-0.11.0/binaries
+[5]: http://dremio.com
+[6]: http://github.com/dremio/gandiva
+[7]: https://github.com/kou
+[8]: https://github.com/apache/arrow/tree/master/r
+[9]: https://github.com/numba/numba
+[10]: http://gpuopenanalytics.com/
+[11]: http://grpc.io
+[12]: https://mathworks.com
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