Kieren Dilworth - Sales Development Representative at RisingWave
Name: Kieren Dilworth
Current Position: Sales Development Representative at RisingWave
LinkedIn Profile: [Kieren Dilworth – RisingWave - LinkedIn](https://de.linkedin.com/in/kieren-dilworth?trk=public_profile_browsemap)
Education: University of Greenwich
Location: Prescot, England, United Kingdom
Followers on LinkedIn: 8,803
Professional Overview
Kieren Dilworth is currently a Sales Development Representative at RisingWave, a role he started on July 26, 2024. Kieren has a professional history in supporting and promoting stream-processing and real-time data technologies. He is driven by a mission to mainstream the utilization of Stream-Processing and Real-Time Data.
Key Achievements and Activities
- Real-Time Data Expert: Kieren frequently posts about the potential and applications of real-time data analysis and materialized views, demonstrating his deep understanding of the field.
- Example Post: "From Orders to Insights - leveraging Real-Time Data Analysis and Materialized Views for E-Commerce Dashboards" ([Post Link](https://www.linkedin.com/posts/kieren-dilworth_from-orders-to-insights-leveraging-materialized-activity-7227249893067665408-WpqA), Aug 8, 2024).
- Feature Stores Advocacy: Kieren promotes the building of Feature Stores with RisingWave.
- Highlighted Post: "Build Feature Stores Effortlessly with RisingWave" ([Post Link](https://www.linkedin.com/posts/kieren-dilworth_build-feature-stores-effortlessly-with-risingwave-activity-7219661174202605569-C3Ws), Jul 18, 2024).
RisingWave Overview
RisingWave is an open-source streaming SQL platform aiming to unify streaming and batch processing for continuous insights extraction. It provides efficient handling of real-time and historical data with a cloud-native architecture optimized for event-driven applications.
Key Offerings
- Continuous Analytics: Allows for the extraction of real-time insights from event streams, handling millions of queries with minimal latency.
- Feature Engineering: Supports transforming real-time events into AI features, storing, serving, and sharing features across a unified system.
- Real-time ETL: Facilitates scalable real-time data pipelines using SQL, allowing seamless data ingestion from numerous sources.
Industry Applications
RisingWave is leveraged by multiple industries such as Financial Services, E-Commerce, Energy, and Ad/Marketing Tech for purposes like:
- Inventory Management
- Risk Management
- Fraud Detection and Prevention
Technological Capabilities
- Advanced Stream Processing: Utilizes features like watermarking, time windowing, and temporal filtering to maintain consistency during event processing.
- Schema Evolution: Automatically detects and propagates schema changes without human intervention.
- Time Travel Queries: Enables querying historical data as it existed at specific times through snapshots.
Relevant Skills and Interests
Kieren's role involves demonstrating the value of RisingWave's technological offerings, particularly focusing on seamless stream and batch data integration and real-time analytics. His interest spans across potential challenges in creating Feature Stores and leveraging real-time data for insights, indicating a proactive approach in customer engagement and problem-solving.
Online Activity and Engagement
Kieren is an active participant on LinkedIn, sharing insights and developments related to RisingWave. His engagement strategy appears centered around educating and informing peers in the data engineering and real-time analytics community.
Conclusion: Kieren Dilworth's profile indicates a strong alignment with RisingWave's mission to promote real-time data and stream-processing solutions. His expertise and role as a Sales Development Representative at RisingWave make him a crucial point of contact for potential partnerships and customers interested in harnessing continuous data insights.
