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An Oracle blog about Oracle’s Machine Learning and Advanced Analytics

Introducing Oracle Machine Learning SQL Notebooks for the Oracle Autonomous Data Warehouse Cloud!

Charlie Berger
Sr. Dir. Product Management, Machine Learning, AI and Cognitive Analytics

Apache Zeppelin based Machine Learning SQL Notebook for Data Scientists to Collaborate in the Oracle Autonomous Data Warehouse Cloud

Overview

Oracle Machine Learning is a new SQL notebook interface for data scientists to perform machine learning in the Oracle Autonomous Data Warehouse Cloud (ADWC).  Notebook technologies support the creation of scripts while supporting the documentation of assumptions, approaches and rationale to increase data science team productivity.  Oracle Machine Learning SQL notebooks, based on Apache Zeppelin technology, enable teams to collaborate to build, evaluate and deploy predictive models and analytical methodologies in the Oracle ADWC. Multi-user collaboration enables the same notebook to be opened simultaneously by different users.  Changes made by one user are immediately updated for other team members. 

Oracle Machine Learning SQL notebooks provide easy access to Oracle's parallelized, scalable in-database implementations of a library of Oracle Advanced Analytics' machine learning algorithms (classification, regression, anomaly detection, clustering, associations, attribute importance, feature extraction, times series, etc.), SQL, PL/SQL and Oracle's statistical and analytical SQL functions.  Oracle Machine Learning SQL notebooks and Oracle Advanced Analytics' library of machine learning SQL functions combined with PL/SQL allow companies to automate their discovery of new insights, generate predictions and add "AI" to data viz dashboards and enterprise applications.

To support enterprise requirements for security, authentication, and auditing, Oracle Machine Learning SQL notebooks adhere to all Oracle standards and supports privilege-based access to data, models, and notebooks.

Presentation:  Oracle Machine Learning SQL Notebook - Included in Oracle Autonomous Data Warehouse Cloud

Key Features

  • Collaborative SQL notebook UI for data scientists
  • Packaged with Autonomous Data Warehouse Cloud 
  • Easy access to shared notebooks, templates, permissions, scheduler, etc
  • Access to 30+ parallel, scalable in-database implementations of machine learning algorithms
  • SQL and PL/SQL scripting language supported
  • Enables and Supports Deployments of Enterprise Machine Learning Methodologies in ADWC

Screen Shots   

Disclaimer:  Product details/functionality subject to change.

Oracle Machine Learning enables data science teams to collaboratively build machine learning methodologies in the Oracle ADWC.

 

OML notebooks provide easy access to data managed in the Oracle ADWC for quick analysis, simple visualizations and building machine learning solutions.

 

Oracle Machine Learning SQL notebook starting page.

 

Create a new Oracle Machine Learning notebook.

 

Create simple visualizations of data managed in Oracle ADWC.

 

Easily perform quick statistical analyses using Oracle's in-database SQL statistical functions.

 

Build, evaluate and deploy machine learning methodologies in the Oracle ADWC using Oracle Advanced Analytics' parallelized, in-database implementations of machine learning algorithms.

 

 

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