| <!--- | |
| 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. | |
| --> | |
| # Usage | |
| This section shows how to create DataFusion DataFrames from a variety of data sources like CSV files and Parquet files. | |
| You'll learn more about the SQL statements that are supported by DataFusion. | |
| You'll also learn about the DataFusion's Python API for querying data. | |
| The documentation will wrap up with a variety of real-world data processing tasks that are well suited for DataFusion. The lightning-fast speed and reliable execution makes DataFusion the best technology for a variety of data processing tasks. |