Description
We provide Data Engineering as a Service (DEaaS) to help organizations build, maintain, and optimize robust data infrastructures. Our solutions enable seamless data integration, transformation, and management to support your analytics and business intelligence needs.
Benefits
Phases
Deliverables:
Client responsibilities:
Location
On site and remotely.
SLA
Included with defined performance and service levels.
Includes project management
Comprehensive planning and coordination throughout the project.
Payment frequency
Project-based, monthly, or time and material.
Contract duration
1 year, 3 years, 5 years (against minimum commitment)
Case Studies
Data Engineering as a Service (DEaaS) Overview
Our DEaaS solutions enable seamless data integration, transformation, and management across various sectors, optimizing data infrastructures to support advanced analytics and business intelligence needs.
E-commerce Use Case:
We assisted a leading e-commerce platform in building a data pipeline to integrate real-time customer behavior data. This enabled the platform to optimize recommendations and improve user engagement through personalized marketing campaigns. The solution used Apache NiFi for data flow automation and Cloudera for scalable data storage and processing.
Telecommunications Use Case:
For a major telecommunications provider, we deployed a cloud-native data infrastructure that processes high-volume customer and operational data in real time. Apache Airflow was used to orchestrate data pipelines, while HPE Ezmeral enabled efficient containerization and workload management for AI-driven network optimization.
Insurance Use Case:
We helped an insurance company streamline its claims processing and risk analysis by integrating historical and real-time data sources using Oracle DWH HPE Ezmeral Data Fabric and open-source technologies. The data was transformed to drive predictive analytics for fraud detection and customer risk profiling.
Technologies Used:
Other open-source tools: To ensure flexibility and cost-effectiveness.
Technical Team Experience: (for a specific case study)
Our team consists of experienced engineers skilled in data engineering, cloud architecture, and data pipeline management. They have successfully delivered multiple projects across various industries, such as e-commerce, telecommunications, and insurance. The team is proficient in IBM, Cloudera, HPE Ezmeral, Apache NiFi, Apache Airflow, and other cutting-edge technologies.
Team skills
Data architecture design, real-time data processing, cloud-native solutions, AI integration.
Past experiences:
Building data platforms for top companies and industry leaders.
Detailed CVs of the team can be shared upon request.
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