jaychia commented on code in PR #9836: URL: https://github.com/apache/iceberg/pull/9836#discussion_r1509756120
########## docs/docs/daft.md: ########## @@ -0,0 +1,148 @@ +--- +title: "Daft" +--- +<!-- + - 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. + --> + +# Daft + +[Daft](www.getdaft.io) is a Python/Rust-based distributed query engine with a Python DataFrame API. + +Iceberg supports reading of Iceberg tables into Daft DataFrames by using the Python client library [PyIceberg](https://py.iceberg.apache.org/). + +For Python users, Daft is complementary to PyIceberg as a query engine layer: + +* **PyIceberg:** catalog/table management tasks (e.g. creation of tables, modifying table schemas) +* **Daft:** querying tables (e.g. previewing tables, data ETL and analysis) + +In database terms, PyIceberg is the Data Description Language (DDL) for database administration and Daft is the Data Manipulation Language (DML) for querying data. Review Comment: I see, I was trying to bring across the power of why PyIceberg + Daft is such an ultimate combination. Fixed this section to bring across the story of ML+Python on the data catalog a little more strongly, without the DML/DDL analogy. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@iceberg.apache.org For additional commands, e-mail: issues-h...@iceberg.apache.org
