As part of Augmented Analytics, users can utilise the natural language and machine learning features within Oracle Analytics to assist with data preparation, insight generation, and insight explanation.
The Vertice team took the second “ODTUG Oracle Analytics Storytelling Challenge” in August 2020. The challenge was taken on by Paritosh Gupta, Mayank Jain, and Shalini Mahajan.
Learn how Oracle Autonomous Data Warehouse differs from Oracle Autonomous Transaction Processing at a glance with the Bitesize Analytics infographic.
SQL stands for Structured Query Language. SQL is a standard programming language specifically designed for storing, retrieving, managing or manipulating the data inside a relational database management system (RDBMS). SQL became an ISO standard in 1987. SQL is the most widely implemented database language and supported by the popular relational database systems, like MySQL, SQL […]
Introducing the second instalment of our series of focused data science videos. This series aims to help you get a greater understanding of the Machine Learning functionality in Oracle Analytics Cloud. Part 2: How To Evaluate and Reuse the ML model in OAC Follow Us on LinkedIn
Data science as a term or area emerged in 2001, when William S. Cleveland wrote “Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statistics.” As technology has become cheaper, quicker and more versatile, then Data Science has grown stronger and more popular among businesses. The origins of Artificial intelligence […]