Data Transformation
At Datascience9, we specialize in delivering comprehensive data transformation services that convert complex, unstructured, or legacy data into clean, usable, and business-ready formats.
With more than 15 years of experience in data transformation, our firm assists organizations in seamlessly integrating, analyzing, and leveraging their data for strategic decision-making and digital innovation. By applying advanced technologies, automation, and best-in-class methodologies, we help clients enhance data quality, improve operational efficiency, and unlock the full potential of their information assets.
With our specialized programming and hacking skills, our technical staff can automatically transform complex unstructured data into semi-structured or fully structured data.
Projects
In this project, we transformed Amazon product metadata (available on the Stanford repository) into a relational model. This transformation enables complex data analytics and the association of different products.
The output consists of SQL insert statements that populate a MySQL database with the Amazon metadata. The source code is available on our GitHub repository.
Process Workflow:
- 1.Reviewed and created a SQL schema to store the Amazon metadata
- 2.Created a Python function that extracts metadata and generates SQL insert statements
- 3.Ran SQL insert statements to store data into the database
- 4.Finalized data for analytics or building recommendation systems
Technologies
- Cassandra→
- MSSQL→
- Oracle→
- DB2→
- MySQL→
- MongoDB→
- Apache→
- Gradle / Maven→
- Ant→
- Java→
- Python→
- Linux Scripts→
- Programming Hacking→