Our database experts applied an ETL approach to the project. The team first dealt with data extraction from various sources to the data lake. We focused on the diversification of data sources. Then we carried out a complex data transformation. This included data cleaning to ensure expected quality and data government to correct rules classification., We were also responsible for business transformation, like data aggregation, processing to align with business logic,and statistical analysis. The next step was loading data into control systems.
In this project, we gathered distributed data into a single data lake to ensure security and appropriate access. The comprehensive migration carried out provided the possibility of analysis to support business processes in the company,e.g.identifying bottlenecks and problems.
By data migration to the cloud, the client gained better access to all information types collected in one place. The created data lake provides shortened reporting processes and allows for predicting the future based on the given parameters. Complex data management service enabled synthetic analysis of the current business situation for optimizing business management based on reliable data.
Large organization (1000- 10.000 employees)
AWS, SQL Server, PostgreSQL
Data Management Services