jorisvandenbossche commented on code in PR #41593:
URL: https://github.com/apache/arrow/pull/41593#discussion_r1637692450


##########
docs/source/format/Intro.rst:
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@@ -0,0 +1,458 @@
+.. 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.
+
+*****************************************
+Introduction to the Arrow Columnar Format
+*****************************************
+
+Apache Arrow was born with the idea to define a set of standards for
+data representation and interchange between languages and systems to
+avoid costs of data serialization/deserialization and in order to
+avoid reinventing the wheel in each of those systems and languages.
+
+Each system or language requires their own format definitions, implementation
+of common algorithms, etcetera. In our heterogeneous environments we
+often have to move data from one system or language to accommodate our
+workflows that meant copy and convert the data between them, which is
+quite costly.
+
+Apart from this initial vision, Arrow has grown to also develop a
+multi-language collection of libraries for solving problems related to
+in-memory analytical data processing. This includes such topics as:
+
+* Zero-copy shared memory and RPC-based data movement
+* Reading and writing file formats (like CSV, `Apache ORC`_, and `Apache 
Parquet`_)
+* In-memory analytics and query processing
+
+.. _Apache ORC: https://orc.apache.org/
+.. _Apache Parquet: https://parquet.apache.org/
+
+Arrow Columnar Format
+=====================
+
+.. figure:: ./images/columnar-diagram_1.svg
+   :scale: 70%
+   :alt: Diagram with tabular data of 4 rows and columns.
+
+Data can be represented in memory using a row based format or a column

Review Comment:
   > Perhaps a sub-section discussing row-by-row and column-by-column should be 
added before the "Arrow Columnar Format" section can focus solely on the 
columnar arrow format.
   
   +1



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