April 2024
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added paradigm tag to Datanota blog for fundamental concepts
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added the code for three types of databases to sage repository:
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RDBMS (SQLite3 and Apache-Hive)​
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TODO code ==> NoSQL (MongoDB)
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TODO code ==> Graph (Neo4j)
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Datanota-Accent algorithm and code updates are now routinely scheduled
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Revised and organized Datanota Full-Stack repository
December 2023
Datanota code repository transitioned from Bitbucket to GitHub for its public release. Data-360 sections have enhanced to include mock data generation using Random and Faker packages. Apache-Hadoop and Apache-Hive configuration supports the insights and feature engineering sections, leveraging Apache-Spark and PySpark. Finally, pattern recognition and prototype solutions progressed to the next phase of completion process.
December 2022
2022 was a pivotal year for Datanota, as prototypes evolved from initial drafts to fully developed MVPs. Originally created for SQL query testing, Datanota-Sage transitioned into data-360: a comprehensive end-to-end data science application. By the end of 2022, the design for Data-360 sections and Atlassian Trello tasks were finalized for completion.
December 2021
During the pandemic, Datanota's development evolved naturally through a combination of hand-drawn sketches, darw.io digital wireframes and sketch app prototypes and images. Utilizing Python-native tools such as KIVY, much of the year was devoted to developing initial versions of Datanota-Accent and Datanota-Amber. Additionally, posted details about the tools and technologies used to create initial drafts on Datanota blog.
2016
Datanota website was developed using basic client-side tools such as HTML, CSS, Bootstrap, and JavaScript libraries.
Hosted on an AWS EC2 server, Datanota had a simple file tree system. It offered only one desktop application for download. This app, created using Electron, Node.js, and npm libraries, was an educational tool for teaching data analytics
