Connect to data sources and sinks, build and manage stream processing pipelines
A comprehensive library of connectors for all common data systems.
Technical scenarios where Decodable adds value, by role
Powerful real-world stream processing examples using Decodable.
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Focus on solving problems, not managing infrastructure
Aggregating customer data streams: call logs, clickstream data, ecommerce activity, geolocation, point-of-sale terminals, social media feeds.
Clickstream data is used to provide insight and analysis into how visitors get to a website, how they interact with it, pages they visit and duration.
The ability to track and manage the movement of products through your warehouse is critical to the health and growth of businesses and to satisfy customers, on time.
Sports fans want to find team or transfer news, match highlights, and club merchandise on-demand. A sports app driven by real-time data has never been so valuable.
The ability to see, in real-time, logistics and tracking information improves transportation decisions leading to reduced costs and enhanced services.
Data from healthcare monitoring devices can inform healthcare staff of any changes in patient condition, alert them to issues with devices, and respond proactively.
Securing online applications and services is a major requirement for businesses of all types, and threat actors are constantly increasing the sophistication of their attacks.
Real-time data for food delivery is critical to customer satisfaction. Order status updates are constantly updated, sent to customers in apps and SMS.
Financial analysis is used to evaluate economic trends, set financial policy, build long-term plans, and identify investments or prioritize projects.
Customer 360 connects apps and data sources from customer interactions to give businesses a 360-degree view across the end to end customer journey.
Airline customers expect accurate, real-time updates on flight status at every stage of their journey and accurate data also helps streamline airline operations.
Errors in claims data can indicate the need for review by a claims examiner, including mismatched coding, omission of required data, and noncompliance.
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