Jan 04, 2024
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Completed
Implementation of Data Warehouse with Data Engineering Service for Car Sharing Platform
$25,000+
4-6 months
Switzerland
10+
Service categories
Service Lines
Big Data
Domain focus
Automotive
Subcategories
Big Data
Data Warehousing
Challenge
The client is a well-known car-sharing company with convenient and affordable car services.
Challenges faced:
Accurate Data Analytics & Reporting
Data Migration & Synchronization
Data Normalization
Reduced Data Redundancy & Anomalies
The client is a well-known car-sharing company with convenient and affordable car services.
Challenges faced:
Accurate Data Analytics & Reporting
Data Migration & Synchronization
Data Normalization
Reduced Data Redundancy & Anomalies
Solution
The client had an initial concept of a centralized repository to reduce administrative overhead with data processing capabilities through seamless data analytics and reporting.
A cloud-based data warehouse implemented with data engineering service to manage and analyze large volumes of data to improve productivity within the data ecosystem.
The client had an initial concept of a centralized repository to reduce administrative overhead with data processing capabilities through seamless data analytics and reporting.
A cloud-based data warehouse implemented with data engineering service to manage and analyze large volumes of data to improve productivity within the data ecosystem.
Results
A centralized data warehouse with QA engineering framework was implemented with real-time data streaming capabilities through big data analytics & visualization.
A robust cloud-based data warehouse that reduces current & historical data redundancy and provides data normalization with historical insights for business analytics.
A centralized data warehouse with QA engineering framework was implemented with real-time data streaming capabilities through big data analytics & visualization.
A robust cloud-based data warehouse that reduces current & historical data redundancy and provides data normalization with historical insights for business analytics.