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#GeodeSummit: Architecting Data-Driven, Smarter Cloud Native Apps with Real-Time Decision-Making
The document discusses a new data platform designed for real-time decision-making, leveraging technologies like GemFire and Greenplum DB. It highlights challenges in fraud detection and network quality KPIs faced by government and telecom agencies, and outlines solutions that involve re-architecting existing systems for faster data processing and analytics. Additionally, it encourages engagement with the Apache Geode community.
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- 1. A NEW PLATFORMFOR A NEW ERA
- 2. © Copyright 2014Pivotal. All rights reserved.© Copyright 2014 Pivotal. All rights reserved. Smarter data-driven apps 2 Real-time decision making
- 3. © Copyright 2014Pivotal. All rights reserved. X
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- 9. © Copyright 2014Pivotal. All rights reserved. Old and coldNew and fresh
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- 16. © Copyright 2014Pivotal. All rights reserved. SQL Machine Learning Results
- 17. © Copyright 2014Pivotal. All rights reserved. Greenplum Data Temperature Hot Warm ANSI SQL Parallel Configurable Data Load GemFire Rest / HTTP Push updates Transactional data write behind Analytical data to cache Data Science, Analytics & ML Pivotal Cloud Foundry Web Console PoS Emulator PoS EmulatorPoS Emulator
- 18. © Copyright 2014Pivotal. All rights reserved. GemFire Greenplum
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- 20. © Copyright 2014Pivotal. All rights reserved.
- 21. © Copyright 2014Pivotal. All rights reserved.
- 22. © Copyright 2014Pivotal. All rights reserved. Challenge: • Fraudsters use ID theft to file false tax returns, defrauding the government and costing tax payers significantly • Need to enable complex fraud detection logic to stop billions in fraud while ingesting large amounts of data over a short time period (1 million tax returns/hour) • Existing Rules engine architecture used to detect fraud is doesn’t allow for real-time analysis Solution: • Pivotal Data Engineering re-architected the Rules engine by leveraging GemFire and Greenplum DB to achieve much faster data processing • Reduced tax return processing time with real-time technology Pivotal Solution includes: BDS, Data Labs U.S. Government Agency Tackles ID Theft in Real-time Speed with In-Memory Technology
- 23. © Copyright 2014Pivotal. All rights reserved. Telco Network Quality KPIs Fast Data Ingest and Real-time Analytics Challenge: • Provide network quality KPIs to Brazil's National Telco Agency • Capture, analyze and guarantee data consistency for millions of data points / sec. • Enable near real-time analytics over the high volume and fast data being transacted Solution: • Pivotal GemFire and Greenplum DB allow combined fast low-latency in-memory transactions and near real-time analytics • Real-time data insights on cell phone network quality KPIs • Data Science engagement for improving the network quality
- 24. 24 Join the ApacheGeode Community! • Check out http://geode.incubator.apache.org • Subscribe: user-subscribe@geode.incubator.apache.org • Download: http://geode.incubator.apache.org/releases/
- 25. A NEW PLATFORMFOR A NEW ERA