Amazinum - Data Streaming Solutions
Real-time data can give your business a competitive edge in today’s fast-paced digital world. Our Data Streaming Solutions provide the infrastructure to capture, process, and analyze data as it happens. From customer interactions to IoT device data, we empower you to respond to events instantly, make real-time data-driven decisions, and drive operational efficiency.
Real-time data can give your business a competitive edge in today’s fast-paced digital world. Our Data Streaming Solutions provide the infrastructure to capture, process, and analyze data as it happens. From customer interactions to IoT device data, we empower you to respond to events instantly, make real-time data-driven decisions, and drive operational efficiency.
Transform Real-Time Data into Actionable Insights
Real-time data can give your business a competitive edge in today’s fast-paced digital world. But managing data streams effectively is challenging, often leading to delays, inefficiencies, and missed opportunities.
Amazinum’s Data Streaming Solutions provide the infrastructure to capture, process, and analyze data as it happens, solving key business challenges:
Amazinum’s Data Streaming Solutions provide the infrastructure to capture, process, and analyze data as it happens, solving key business challenges:
- Slow Decision-Making: Eliminate delays by empowering teams with instant insights.
- Data Silos: Break down barriers and create seamless data flows across systems.
- Operational Inefficiencies: Reduce latency and automate workflows for optimal efficiency.
- Scalability Issues: Handle increasing data volumes with ease using scalable infrastructure.
- Slow Decision-Making:
Eliminate delays by empowering teams with instant insights.
- Data Silos:
Break down barriers and create seamless data flows across systems.
- Operational Inefficiencies:
Reduce latency and automate workflows for optimal efficiency.
- Scalability Issues:
Handle increasing data volumes with ease using scalable infrastructure.
From customer interactions to IoT device data, our solutions empower you to respond to events instantly, make real-time data-driven decisions, and drive operational efficiency.
Our Technology Stack
01
Apache Kafka
A widely-used open-source platform for building real-time data pipelines and streaming applications.
02
Apache Flink
A stream processing framework that provides powerful capabilities for stateful computations over data streams.
03
Amazon Kinesis
A fully managed service that makes it easy to collect, process, and analyze real-time streaming data at scale.
04
AWS Lambda
A serverless compute service that allows you to run event-driven functions in response to real-time data streams.
05
Google Cloud Pub/Sub
A messaging service that allows for asynchronous communication between applications, facilitating real-time data streaming.
Why Choose Our Data Streaming Solutions?
Real-Time Data Processing
Capture and analyze data as it’s generated, providing your team with up-to-the-minute insights to improve decision-making and agility.
Scalable & Reliable Infrastructure
Our solutions are built to handle growing data volumes, ensuring consistent performance and scalability as your data needs expand.
Seamless System Integration
Our data streaming solutions integrate with your existing systems and tools, enabling smooth data flow and accessibility across your organization.
Enhanced Operational Efficiency
Streamline data workflows, automate processes, and reduce latency to improve operational efficiency and responsiveness.
How Data Streaming Works
Data
Sources
Real-Time
processing
Real-Time
processing
Insights
Insights
How Amazinum’s Data Engineering Benefits Your Business
Our Real-Time Data Ingestion services capture data from multiple sources—including web applications, IoT devices, and social media—ensuring instant data flow for immediate processing and analysis.
Process data based on specific triggers with Event-Driven Processing, allowing you to react to important business events as they happen. Whether it’s customer interactions or system alerts, our solution enables timely, automated responses.
With our data transformation and enrichment services, you can transform raw data into valuable information. We apply business rules, data cleansing, and enrichment processes in real time to ensure data consistency and quality.
Our team builds Data Pipelines that seamlessly transport data across your organization. With flexible integration options, our pipelines allow for smooth and continuous data flow between your systems, applications, and storage solutions.
Harness the power of real-time insights with our Real-Time Analytics & Monitoring services. Visualize data trends, track key metrics, and make instant data-driven decisions through customized dashboards and analytics tools.
Many data streaming services utilize an event-driven architecture, where data is treated as a stream of events. This approach helps in managing dynamic workloads efficiently.
Data streaming services are designed to scale horizontally, accommodating large volumes of data and high velocity, making them suitable for big data applications.
They can integrate with multiple data sources, including IoT devices, social media feeds, transaction logs, and more.
Some streaming services provide capabilities for complex event processing, allowing organizations to detect patterns and trends in the data as it streams.
Data streaming services often integrate with data storage solutions (like data lakes or warehouses) and analytics platforms, enabling seamless transition from data ingestion to analysis.
Our Real-Time Data Ingestion services capture data from multiple sources—including web applications, IoT devices, and social media—ensuring instant data flow for immediate processing and analysis.
Process data based on specific triggers with Event-Driven Processing, allowing you to react to important business events as they happen. Whether it’s customer interactions or system alerts, our solution enables timely, automated responses.
& Enrichment
With our data transformation and enrichment services, you can transform raw data into valuable information. We apply business rules, data cleansing, and enrichment processes in real time to ensure data consistency and quality.
Development & Integration
Our team builds Data Pipelines that seamlessly transport data across your organization. With flexible integration options, our pipelines allow for smooth and continuous data flow between your systems, applications, and storage solutions.
& Monitoring
Harness the power of real-time insights with our Real-Time Analytics & Monitoring services. Visualize data trends, track key metrics, and make instant data-driven decisions through customized dashboards and analytics tools.
Many data streaming services utilize an event-driven architecture, where data is treated as a stream of events. This approach helps in managing dynamic workloads efficiently.
Data streaming services are designed to scale horizontally, accommodating large volumes of data and high velocity, making them suitable for big data applications.
Data Sources
They can integrate with multiple data sources, including IoT devices, social media feeds, transaction logs, and more.
Processing (CEP)
Some streaming services provide capabilities for complex event processing, allowing organizations to detect patterns and trends in the data as it streams.
Storage and Analytics
Data streaming services often integrate with data storage solutions (like data lakes or warehouses) and analytics platforms, enabling seamless transition from data ingestion to analysis.
Explore Our Streaming Services
Event Streaming
Routine Service
Connected Cars
Traffic Alerts
Mobility
Service
Data Lake
Components
Sitizen
Services
Weather Data
Traffic Data
Citizen Data
Security Alerts
Smart
Grid
Cyber
Security
Weather Service
Personal Data
Surveillance
Real-World Applications of Data Streaming Solutions: Use Cases Across Industries
Our Data Streaming Solutions support a variety of industries, helping businesses unlock the full potential of real-time data. Here are some examples of how data streaming can make an impact:
01
Personalized Customer Experience for E-commerce & Retail
With our data streaming solutions, customer data is captured and analyzed instantly, allowing for real-time personalization. This means product recommendations, promotions, and content can be dynamically tailored to each customer as they interact with your site.
Result:
Increased customer engagement, higher conversion rates, and improved customer satisfaction.
02
Fraud Detection for Finance & Fintech
Our data streaming solutions enable continuous monitoring of transaction data to identify suspicious activity. By leveraging machine learning algorithms, our solution flags anomalies instantly, allowing your team to respond to potential fraud in real-time.
Result:
Reduced financial risk, increased security, and enhanced customer confidence.
03
Predictive Maintenance for Manufacturing & Industrial IoT
With our data streaming solutions, sensor data is processed continuously, enabling predictive maintenance. By analyzing patterns in real-time, our solution detects anomalies and alerts operators before equipment failure occurs.
Result:
Reduced downtime, optimized maintenance schedules, and extended equipment lifespan.
04
Real-Time Market Analysis for Media & Entertainment
Our data streaming solutions aggregate data from social media, streaming platforms, and other sources in real-time. This enables media companies to monitor audience behavior, track engagement, and adjust content strategies instantly.
Result:
Improved audience targeting, increased content engagement, and more effective content planning.
05
Real-Time Supply Chain Optimization for Logistics & Transportation
Our data streaming solutions provide continuous data on shipment locations, traffic conditions, and inventory levels. With real-time data, logistics managers can optimize routes, avoid delays, and improve inventory management.
Result:
Faster deliveries, reduced operational costs, and enhanced supply chain efficiency.
06
Continuous IoT Data Processing for Responsive Systems
Our streaming services are ideal for IoT applications, enabling real-time data processing from connected devices. This continuous flow of information allows organizations to respond to events as they happen, from equipment monitoring to smart home management.
Result:
Improved responsiveness, reduced latency in IoT applications, and timely decision-making based on live data.
07
Enhanced Security and Risk Management in Financial Services
In finance, real-time streaming enables the instant monitoring of transactions, providing insights for fraud detection, real-time risk assessment, and trade processing. Our solution offers financial institutions a proactive approach to secure and efficient transaction management.
Result:
Reduced fraud risk, improved compliance, and faster, more secure transaction processing.
08
Social Media Sentiment Analysis for Brand Monitoring
With data streaming, businesses can monitor social media platforms in real time to track brand sentiment, engagement levels, and emerging trends. This enables companies to stay connected with their audience, respond quickly, and align strategies with current sentiment.
Result:
Better brand perception, timely response to customer feedback, and strategic alignment with trending topics.
09
Proactive System Health Monitoring for IT Operations
Our streaming services provide IT teams with real-time visibility into system logs and events, allowing for instant monitoring and issue detection. This enables faster troubleshooting, minimizing downtime, and maintaining system reliability.
Result:
Enhanced system uptime, quicker issue resolution, and improved IT operational efficiency.
Benefits of Data Streaming Solutions
Instant Decision-Making
Act on data as it arrives, empowering your team to make faster, more informed decisions in critical business moments.
Improved Customer Experience
Provide a seamless customer journey with real-time personalization and engagement, ensuring customers receive relevant real-time interactions.
Operational Agility
Respond quickly to market changes, operational alerts, and customer demands, giving your business an agility edge.
Cost-Effective Scalability
Build scalable, cost-efficient data streams that grow with your business, allowing you to handle increasing data volumes seamlessly.
Improved Efficiency
Automate real-time data workflows, reducing latency and minimizing manual intervention to boost operational efficiency.
Real-Time Insights
Data streaming solutions enable organizations to analyze data as it is generated, providing real-time insights that facilitate quicker decision-making and more responsive actions.
Continuous Data Ingestion
These solutions support the continuous flow of data from various sources, ensuring that data is always up-to-date and accessible for analysis.
Enhanced Security and Compliance
Organizations can implement real-time data flow monitoring, helping identify and respond to security threats or compliance issues as they arise.
See How Streaming Can Transform Your Business
See How Streaming
Can Transform Your
Business
Our Approach to Data Streaming Solutions
Our holistic, customer-centered approach ensures that your data ecosystem is robust, scalable, and aligned with your strategic goals.
1
Discovery & Strategy Development
We begin by assessing your data needs, business goals, and existing infrastructure. This helps us develop a tailored data streaming strategy aligned with your objectives.
2
Solution Design & Prototyping
Based on your requirements, we design a scalable data streaming architecture. Prototypes and proofs of concept validate the approach and ensure alignment with your goals.
3
Pipeline Development & Integration
Our team develops and integrates data pipelines to ensure seamless, continuous data flow across your systems. We prioritize smooth integration to minimize disruption and enhance data accessibility.
4
Testing & Optimization
We rigorously test the data streaming solution to ensure performance, reliability, and scalability. Optimization is applied to ensure efficient and real-time data processing.
5
Ongoing Support & Monitoring
Post-deployment, we provide continuous support and monitoring to keep your data streaming infrastructure optimized as your needs evolve.
Choose the Right Fit for Your Business Needs
We offer flexible collaboration models to meet you where you are on your AI and data journey. Whether you need expert advice, hands-on learning, or full-scale development, we’ve got you covered.
Consultation
Expert insights, strategic advice, and a roadmap
Discovery Workshop
Your First Step to Smarter Solutions
Proof of Concept (PoC)
A working prototype, key metrics, and feasibility assessment
Full AI, Data, and Cloud Solutions Development
Full-cycle development, seamless integration, and ongoing support
Outstaffing / Staff Augmentation
Access to AI/ML experts, flexible scaling, ongoing management
Consultation
Expert insights, strategic advice, and a roadmap
Discovery Workshop
Your First Step to Smarter Solutions
Proof of Concept (PoC)
A working prototype, key metrics, and feasibility assessment
Full AI, Data, and Cloud Solutions Development
Full-cycle development, seamless integration, and ongoing support
Outstaffing / Staff Augmentation
Access to AI/ML experts, flexible scaling, ongoing management
Start Your Real-Time Data Journey with Us
Data Engineering tools
Python
Apache Hadoop
Julia
Relational and Non-relational Databases
Apache Spark
Python
Apache Hadoop
Julia
Relational and Non-relational Databases
Apache Spark
We are experienced in Data Engineering tools:
Structured data can easily be stored in a relational database.
Semi- or unstructured data uses non-relational or NoSQL databases
SQL and NoSQL databases:
- MySQL
- Microsoft SQL Server
- PostgreSQL
- MariaDB
- MongoDB
- Firebase
- Elasticsearch
- Apache Cassandra
- Apache HBase
In-memory data stores
- Redis
- Memcached
- SAP HANA
- SingleStore
- Oracle TimesTen
Storage platforms are often used in big data development
Data warehousing solution:
- Google BigQuery
- Amazon Redshift
- Snowflake
- Vertica
- Azure Synapse Analytics
Workflow planning tools will help improve the data development process.
Automation and scheduling tools:
- Apache Airflow
- Luigi
- Apache Oozie
- Azkaban
FAQ
Data streaming involves processing data continuously as it’s generated, allowing businesses to act on real-time insights. It’s particularly useful for applications where data timeliness is crucial.
Data streaming enables real-time decision-making, enhanced customer experiences, operational agility, and improved efficiency, especially in fast-paced industries like finance, healthcare, retail, and logistics.
Yes, our solutions are designed to handle large-scale environments, offering scalable infrastructure that supports growing data volumes and demands.
Timelines vary based on complexity, but typical implementations can range from a few weeks to a few months. We provide a detailed project timeline after the initial consultation.
Have More Questions? Contact Us!
Get Started with Data Streaming Solutions Today!
Ready to harness real-time data for enhanced decision-making and agility?
Contact us today for a free consultation and discover how our Data Streaming Solutions can elevate your business to new heights.
Vitaliy Fedorovych
CEO, Data Scientist at Amazinum
Hello there!
Amazinum Team assists you through all data science development processes:
from data collection to valuable insights generation.
Get in touch with our CEO and Data Scientist to figure out the next move together
- 4A Peremohy square, Ternopil, Ukraine, 46000
- +380 98 85 86 330
- vfedorovych@amazinum.com
Contact Us
Contact Us
UKRAINE
ESTONIA
Amazinum OÜ
Registry Code: 16893164
