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MODERN DATA

Real-Time Data Streaming & Event-Driven Architecture

Enable real-time insights and automation with scalable, event-driven data streaming systems
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Why Real-Time Data is a Business Imperative

Traditional batch processing can’t keep up with the pace of modern business. Whether you’re enabling live personalization, powering operational dashboards, or connecting IoT systems, real-time data streaming ensures your organization can react instantly and intelligently. At Improving, we design and implement event-driven systems that deliver timely insights and unlock next-level agility.

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REAL-TIME CHALLENGES

Legacy Data Systems Delay Decision-Making

Slow, batch-based pipelines prevent organizations from making timely decisions and delivering seamless experiences. Latency between data collection and action leads to missed opportunities, blind spots, and reduced customer satisfaction. Scaling these systems often adds complexity without improving responsiveness.

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Latency in Data Delivery

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Siloed Operational Systems

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Delayed Customer Personalization

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Incomplete Real-Time Visibility

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Reactive Instead of Proactive Insights

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WHAT WE DO

Real-Time Data Services That Power Agility

We help enterprises unlock immediate insights through event streaming and modern data pipelines. Our real-time services are built for scale, resilience, and responsiveness, enabling intelligent actions at the speed of data. Whether you need to modernize existing workflows or build from the ground up, our expertise ensures fast, future-ready delivery.

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Event-Driven Architecture Design

We redesign systems around event streams using publish/subscribe models to support immediate processing, system decoupling, and organizational agility.

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Streaming Platform Implementation

We implement and optimize platforms like Apache Kafka and Confluent to deliver real-time pipelines with enterprise-grade reliability.

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Real-Time Analytics & Monitoring

We integrate tools like Spark Streaming and Flink to enable instant insights, real-time dashboards, and proactive anomaly detection.

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Cloud-Native Streaming Deployment

We deploy scalable, cloud-based streaming infrastructure using Kubernetes, serverless patterns, and managed services like Event Hubs or Kinesis.

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Data Pipeline Governance

We ensure schema consistency, error handling, and exactly-once processing to build robust, production-grade real-time architectures.

OUR APPROACH

Our 5D Approach to Real-Time Streaming Success

Implementing a real-time data system requires more than just installing Kafka or Event Hubs—it demands thoughtful design, governance, and scalability. Our 5D methodology ensures your streaming solution is built with long-term agility, resilience, and speed in mind. From early strategy to operational deployment, we guide your teams every step of the way.

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We assess your current data environment, identify batch processing bottlenecks, and evaluate where real-time architecture can drive measurable impact. This includes aligning stakeholders on business use cases such as fraud detection, personalization, or live dashboards.

Our architects define the optimal event-driven models, select the appropriate streaming technologies, and map out governance standards. This includes data schema modeling, fault tolerance planning, and throughput optimization.

We build streaming pipelines, configure brokers and connectors, and implement real-time analytics workflows. Development includes CI/CD for data pipelines and integration with monitoring and alerting tools.

We simulate streaming loads, validate performance under production-like conditions, and conduct stakeholder demos. Feedback from this phase informs final tuning and confidence in scaling.

We launch the solution into production with resilience controls in place—covering partition strategy, backpressure handling, and failover protocols. Post-deployment, we enable your team through documentation, training, and governance handoff.

CASE STUDIES

Transforming Data Latency into Instant Business Value

We’ve helped enterprises replace slow batch pipelines with responsive, event-driven architectures that unlock faster insights and smarter decisions. From reducing data lag from hours to seconds in high-volume retail environments to enabling real-time fraud detection for financial institutions, our streaming solutions deliver measurable outcomes. Each engagement is rooted in reliability, scale, and a deep understanding of the real-world demands of continuous data.

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Cloud Data Warehouse Modernization On Snowflake

Improving partnered with Integra Connect to modernize their cloud data warehouse using Snowflake, dramatically improving data processing speed, reducing costs, and enabling real-time analytics to support their expanding precision medicine and specialty care operations.

Snowflake

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Microsoft Azure

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Modern Real-Time Data Pipelines for Medical Device Manufacturing

Improving partnered with Medtronic to implement real-time data pipelines using Kafka and Confluent, transforming manual data collection into an automated system that enhanced visibility, efficiency, and decision-making in manufacturing.

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Confluent

Java

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Real-Time Streaming Transformation

Improving partnered with Centene to modernize its data infrastructure using Kafka and real-time streaming, unifying data across subsidiaries and enhancing scalability, regulatory compliance, and operational efficiency through a cloud-based solution.

Kafka

Confluent

Spring Boot

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Ready to Streamline Your Data in Real Time?

Let’s design a future-ready architecture that powers instant decisions and resilient data flows.

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WHY IMPROVING

Why Enterprises Choose Improving for Real-Time Data Streaming

Real-time data demands more than fast pipelines—it requires deep architectural expertise, operational discipline, and proven results. At Improving, we combine elite Confluent partnerships, certified streaming architects, and a history of delivering low-latency, high-reliability systems at scale. Our clients trust us to modernize their data infrastructure with solutions built for performance, resilience, and long-term growth.

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  • Confluent Elite Partner with Certified Kafka Experts

  • Cross-Cloud Streaming Expertise (AWS, Azure, GCP)

  • Reliable, Low-Latency Data Pipelines at Scale

  • Real-Time Analytics that Drive Action

  • Battle-Tested Solutions Across Regulated Industries

OUR PARTNERS

Trusted by Leading Streaming & Cloud Platforms

Our deep partnerships with Confluent, Microsoft Azure, and AWS ensure we deliver real-time data solutions that are scalable, secure, and future-ready. As a Confluent Premier SI Partner, we implement best-in-class Kafka architectures backed by certified consultants. With Azure and AWS, we leverage native event streaming services like Event Hubs and Kinesis to match each client’s cloud environment and performance goals.

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Confluent

As a Premier System Integrator Partner, we architect enterprise-grade streaming solutions using Confluent and Kafka. Our certified consultants build resilient, real-time pipelines that power instant decisions and scale with your business.

Microsoft Solutions Partner

Microsoft

With deep expertise in Azure Event Hubs, Stream Analytics, and related services, we design and deploy secure, low-latency data architectures that align with Microsoft’s best practices and accelerate time to insight for cloud-native workloads.

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AWS

From Amazon Kinesis to MSK, our AWS implementations support mission-critical event streaming with built-in scalability, fault tolerance, and integration across modern cloud ecosystems for real-time, high-performance data systems.

TECHNOLOGY STACK

Real-Time Streaming Tools and Technologies

Delivering robust real-time data systems requires a carefully selected mix of streaming platforms, processing engines, analytics dashboards, and infrastructure tools. Our teams use a technology-agnostic approach to implement scalable, low-latency architectures that meet your business needs, whether you're building with Kafka, deploying to Kubernetes, or integrating cloud-native analytics. We stay current with leading platforms across all major cloud providers to ensure each solution is modern, secure, and future-ready.

Streaming Platforms

Apache Kafka

Apache Pulsar

AWS Kinesis

Azure Event Hubs

Azure Service Bus

Confluent

Google Cloud Pub/Sub

Kafka Connect

RabbitMQ

Redpanda

RELATED SERVICES

Explore More of Our Data Expertise

Real-time systems are just one piece of a modern, intelligent data ecosystem. At Improving, we deliver end-to-end solutions that span data engineering, analytics, governance, and integration to ensure every part of your business runs on timely, reliable information. Explore our related services to see how we can help you unlock deeper insights, faster decisions, and scalable data architectures.

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Data Platform Modernization

Modernize legacy data systems using cloud-native platforms, lakehouse architectures, and optimized migration strategies.

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Business Intelligence & Analytics

Turn raw data into visual dashboards, predictive models, and AI-powered insights that drive smarter decisions.

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Data Strategy & Governance

Align data investments with business goals through expert strategy planning, governance frameworks, and quality controls.

THOUGHT LEADERSHIP

Insights on Streaming, Integration, and Data Agility

Stay up to date with the latest trends in real-time data architecture, event streaming, and cloud-native platforms. Our blogs offer practical guidance from Improving’s experts on how to design, scale, and govern real-time systems that meet evolving business needs. Whether you're evaluating technologies like Kafka or implementing stream processing frameworks, you'll find insights to support your journey.

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Données

Bilan du Data Streaming World Tour : Une perspective Improving

Comment Improving a vécu le 2025 Data Streaming World Tour de Confluent.

CONTACT US

Start Building Your Real-Time Data Future

Looking to modernize your data systems for speed, scale, and reliability? Let’s connect and explore how real-time architecture can unlock new opportunities for your business.

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