Data and Analytics help to improve the quality of business decisions based on scientific insights.
Enabling Data-Driven Transformations
Companies are faced with an overwhelming amount of data that is constantly increasing. To fully utilize their data resources, they must create data pipelines to transform and transfer data into a usable format for data scientists and other users. The potential for organizations to gain business value and improve customer service through data analysis is significant.
Our data engineering services improve data accessibility and usefulness for all users by assisting with data requirements, metadata management, security, and custom data processing.
Logix Guru’s approach focuses on maximizing the value of a company’s data through a solid data foundation and data mining. We address challenges that prevent companies from becoming data-driven competitors. Our services include designing and developing data pipelines (ETL and ELT), data products with APIs, and data quality management.
- To migrate the sales data from the on-premises MySQL database to Redshift on AWS, an ETL process was established.
- Utilizing PySpark has improved the feasibility and simplicity of data movement by 80%.
- By implementing EC2 Firewall settings to regulate access to the instances, security protocols were developed for Amazon EMR.
- Redesigned data architecture to handle complex ETL operations and computing.
- A centralised big data ecosystem that has been established, dispersed processing, and integrated reporting data.
- With better security, data processing times dropped from three days to three hours.