[GitHub] [iceberg-docs] dimas-b commented on a diff in pull request #150: Add Iceberg Catalog concepts page

[GitBox <gi...@apache.org>]

dimas-b commented on code in PR #150:
URL: https://github.com/apache/iceberg-docs/pull/150#discussion_r978838795


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landing-page/content/common/catalog.md:
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@@ -0,0 +1,49 @@
+---
+title: "Iceberg Catalogs"
+url: concepts/catalog
+disableSidebar: true
+---
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+ -->
+
+# Iceberg Catalogs
+
+## Overview
+
+You may think of Iceberg as a format for managing data in a single table, but the Iceberg library needs a way to keep track of those tables by name. Tasks like creating, dropping, and renaming tables are the responsibility of a catalog. Catalogs manage a collection of tables that are usually grouped into namespaces. The most important responsibility of a catalog is tracking a table's current metadata, which is provided by the catalog when you load a table.
+
+The first step when using an Iceberg client is almost always initializing and configuring a catalog. The configured catalog is then used by compute engines to execute catalog operations. Multiple types of compute engines using a shared Iceberg catalog allows them to share a common data layer. 
+
+A catalog is almost always configured through the processing engine which passes along a set of properties during initialization. Different processing engines have different ways to configure a catalog. When configuring a catalog, it’s always best to refer to the [Iceberg documentation](https://iceberg.apache.org/docs/latest/configuration/#catalog-properties) as well as the docs for the specific processing engine being used. Ultimately, these configurations boil down to a common set of catalog properties that will be passed to configure the Iceberg catalog.
+
+## Catalog Implementations
+
+Iceberg catalogs are flexible and can be implemented using almost any backend system. They can be plugged into any Iceberg runtime, and allow any processing engine that supports Iceberg to load the tracked Iceberg tables. Iceberg also comes with a number of catalog implementations that are ready to use out of the box.
+
+This includes:
+- REST - a server-side catalog that’s exposed through a REST API
+- Hive Metastore - tracks namespaces and tables using a Hive metastore
+- JDBC - tracks namespaces and tables in a simple JDBC database
+

Review Comment:
   If a shorter line is needed perhaps "tracks namespaces and tables in a database with git-like version control"?



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