Transform your business through streaming data analytics and AI
Streaming Data Platform is an end-to-end solution that enables real-time data analytics. The solution provides data-rich businesses with data analytics capabilities to power their day-to-day operations, enterprise reporting, and decision-making. It helps improve the performance across finance, marketing, supply chain, and customer service business functions. The solution is widely applicable in Healthcare, Entertainment, Retail & eCommerce, ISV, and Internet businesses.
Apart from data analytics value, the solution serves as a foundational service for machine learning to enable artificial intelligence (AI) solutions. Among the AI use cases that the Streaming Data Platform solution helps enable are personalized product recommendations, proactive customer support, media sentiment analysis.
Availability
United States
Benefits
Cloud-native solution
Converts expensive, outdated infrastructure into a modern and efficient cloud platform
Unified architecture
Combines data services and microservices for online real-time queries
Consolidated data pipelines
Improves scalability in the cloud for real-time analysis
Streaming-first architecture
Powers and provides governance for a data lake ecosystem
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How it works
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Key activities
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Customer contribution
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About this consultant
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Architecture diagram
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How it works
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Streaming Data Platform is a unified solution that enables real-time data analytics. The streaming-first architecture powers and provides governance for a data lake ecosystem. This solution consolidates data pipelines and improves scalability in the cloud for real-time analysis. It accelerates time-to-market for data analytics products and mitigates technology risks.
The Streaming Data Platform is delivered as an AWS CloudFormation template. Please see the referenced architecture diagram to understand how it works and what AWS services are being used.
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Key activities
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1) Discovery workshop
Take part in a workshop to determine the current state of data pipelines; identify the requirements
2) TCO estimationEstimate and optimize the total cost of ownership based on the projected volume growth of data
3) Proof of valueRoll out PoC and scale in real time to determine the output and fine-tune to achieve predefined KPIs
4) ProductionalizationDeploy and integrate the solution with existing applications and processes; provide How-To training
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Customer contribution
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Assign team
Assign a dedicated technical team to support the initiative
Grant access
Provide access to infrastructure, data sources, and AWS account
Allocate data
Allocate a safe-for-work dataset to experiment with at the PoC stage
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About this consultant
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Artificial Intelligence consultancy and solutions provider, Provectus drives AI transformation reimagining the way businesses operate, compete, and deliver customer value. Combining strategic vision and technical expertise, Provectus helps organizations adopt the right AI use cases helping businesses achieve their objectives through AI. We help companies start small and scale AI beyond a few experimental cases, incorporate AI on top of their existing products, and introduce AI organization-wide. Provectus is an AWS Partner with Data & Analytics, DevOps, and Machine Learning Competencies.
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Architecture diagram
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Click to enlarge
This architecture diagram maps out the tech stack required for this solution.
This technology is available for self-deployment as an AWS Solutions Implementation. For details, click here.
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Related Resources
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