DataHub Elevate: efficient data centralisation on BigQuery and Microsoft Azure
problems
The client wants to reduce the challenges it faces when managing plant data: large volume of data, slow access, inconsistency and security gaps.
YusApi develops a Data Warehouse to transfer data to advanced platforms and offer the customer a centralised solution, improving data analysis and decision making.
Objectives
Develop a complete Data Warehouse to centralise plant data.
Achieve efficient data migration to advanced platforms such as BigQuery and Microsoft Azure.
Facilitate advanced data analytics.
Improve operational efficiency.
Project procedure
1. Fase de planificación
A Data Warehouse covering all aspects of the plant operation is created and designed.
3. Testing and adjustment phase
In the testing phase, consistency and availability are sought in real time, thus validating the integrity and accessibility of the migrated data.
2. Fase de desarrollo
To ensure a secure, complete and efficient data transfer, necessary processes are implemented in the data migration.
Results
The client has significantly improved its capabilities in advanced data analysis and provides critical information for strategic decision making.
YusApi positions itself for operational efficiency in the information age.
Business proactivity has increased by
+20%
The speed of data searches has increased by
+70%
Sector
- Industry.
- Automotive.
- Energy.
- Food and beverage.
- Healthcare.
- E-commerce.
- Aerospace.
- Banking.
Technologies used
Microsoft SQL Server
RapidMiner
Python
Microsoft Azure
Google BigQuery
