Oracle Database driver for Node.js maintained by Oracle Corp.

The node-oracledb add-on for Node.js powers high performance Oracle Database applications. Applications can be written in TypeScript, or directly in JavaScript. Use node-oracledb 5.2 to connect Node.js 12, or later, to Oracle Database. Older versions of node-oracledb may work with older versions of Node.js. Node-oracledb supports basic and advanced features of Oracle Database and Oracle Client. See the homepage for a list. The node-oracledb module is open source and maintained by Oracle Corp. It is stable, well documented, and has a comprehensive test suite. See Getting Started with Node-oracledb and Quick Start Node-oracledb Installation. See Documentation for the Oracle Database Node.js Add-on and the CHANGELOG. See the examples directory. Start with examples/example.js. Issues and questions about node-oracledb can be posted on GitHub or Slack (link to join Slack). To run the test suite see test/README. Node-oracledb is an open source project. See CONTRIBUTING for details. Oracle gratefully acknowledges the contributions to node-oracledb that have been made by the community. Copyright (c) 2015, 2021, Oracle and/or its affiliates. All rights reserved. You may not use the identified files except in compliance with the Apache License, Version 2.0 (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. The node-oracledb add-on for Node.js powers high performance Oracle Database applications. Applications can be written in TypeScript, or directly in JavaScript. Use node-oracledb 5.2 to connect Node.js 12, or later, to Oracle Database. Older versions of node-oracledb may work with older versions of Node.js. Node-oracledb supports basic and advanced features of Oracle Database and Oracle Client. See the homepage for a list. The node-oracledb module is open source and maintained by Oracle Corp. It is stable, well documented, and has a comprehensive test suite. See Getting Started with Node-oracledb and Quick Start Node-oracledb Installation. See Documentation for the Oracle Database Node.js Add-on and the CHANGELOG. See the examples directory. Start with examples/example.js. Issues and questions about node-oracledb can be posted on GitHub or Slack (link to join Slack). To run the test suite see test/README. Node-oracledb is an open source project. See CONTRIBUTING for details. Oracle gratefully acknowledges the contributions to node-oracledb that have been made by the community. Copyright (c) 2015, 2021, Oracle and/or its affiliates. All rights reserved. You may not use the identified files except in compliance with the Apache License, Version 2.0 (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. 

Flows for APEX - Model and run process flows all within Oracle APEX!

Artificial Intelligence and Machine Learning have become increasingly necessary for enterprises to translate today's data into direct business value. This course introduces learners to the basic concepts of AI/ML, using a mix of engaging lectures and hands-on activities to help you navigate the first steps in this exciting field. The exercises present real world use cases that show how Oracle is actively helping companies maximize business benefits through AI and ML. This hands-on workshop focuses on Oracle Machine Learning for Python (OML4Py) which enables AI and ML capabilities of the Oracle Database in conjunction with the popular Python programming language and Jupyter notebooks. You will learn to apply machine learning concepts and algorithms to solve real-world problems ranging from data acquisition and feature engineering, to creating ML models and tuning for optimal results. 

Zero Hunger Zero Waste

Database Element

node-oracledbby oracle

node-oracledbby oracle

apex-flowsforapexby mt-ag

apex-flowsforapexby mt-ag

Machine Learning

OML4Pyby alam-ora

OML4Pyby alam-ora

Pre Processing

Providing Insights to end USer