Real-time Data Streaming
Unlock real-time insights, streamline data processing, and make swift, informed decisions for a dynamic, agile workflow.
Contact UsBenefits of Real-Time Data Streaming
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Real-Time Insights
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Increased Productivity
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Cost Optimization
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Improved Scalability
Problem
Inefficient Real-Time Data Processing
Traditional batch processing can't keep up with the need for immediate data analytics. This results in delayed insights, high operational costs, and difficulties in scaling to handle increasing data volumes.
Solution
Problem
Poor Resource Utilization
Do you struggle to balance resource allocation in a data streaming service to handle varying data volumes? Over-provisioning leads to unnecessary costs, while under-provisioning risks performance issues.
Solution
Problem
Lack of Real-Time Personalization
Delivering real-time personalized experiences to users, such as in e-commerce or content recommendations, requires rapid processing of user behavior data. Traditional batch processing falls short in delivering the immediate personalization that users expect.
Solution
What is Real-Time Data Streaming?
Are data fragmentation, growing data volumes, or low data quality holding you back? The reason might lie in poor data pipeline design and inefficient ETL processing.
Our expert team helps you streamline data extraction, transformation, cleansing, and integration processes for improved decision-making. We dive deep into your existing infrastructure to gauge its efficiency and reliability. Then, we design and deploy a new system, eliminating bottlenecks constraining your workflows.
The result? Faster analysis for real-time decision-making, cost savings, and increased scalability. Your data infrastructure becomes meticulously organized, and your processes run smoothly like parts of a well-oiled machine.
Achieve immediate insights — transform your workflow with data streaming.
We are certified partners of
Roadmap
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1
Foundation and Infrastructure
We define and document your organization's goals, specific needs, use cases, and expectations from the service.
We select the appropriate technology stack for your data streaming platform.
We integrate your data sources into the data streaming service and configure data pipelines and connectors to ingest real-time data. -
2
Real-Time Data Processing
We implement transformations and enrichments to clean, format, and prepare incoming data for analysis.
We design and the stream processing logic, which involves defining the real-time processing operations to be applied to the incoming data.
We select storage solutions (e.g., data lakes, databases) to archive historical data for future analysis. -
3
Monitoring, Scaling, and Optimization
We monitor the health and performance of your data streaming service, setting up alerts for anomalies, errors, or bottlenecks in data processing.
We perform scalability and load testing by simulating various traffic scenarios to identify areas for optimization.
We review the system's performance, identify areas for improvement, and apply enhancements.
Our stack
Our Dream Team
Nick Valiotti
СЕО
Regina
Analytics Team Lead
Egor
Lead Data Engineer
Maksim
Senior Data Engineer
Denis
Senior Data Analyst
Elvina
Project Manager
Olesya
Lead Data Analyst
30+ seasoned specialists
- Data Engineers
- Data Analysts
- Marketing
- Management
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“Data experts from Valiotti quickly grasped the essence of the project and since then the team has been the strongest support for our analytics department.”