AUTHOR

Floyd Smith

CREATE PIPELINE: Real-Time Streaming and Exactly-Once Semantics with Kafka
Apache Kafka, Engineering, Pipelines
In this presentation, recorded shortly after MemSQL introduced MemSQL Pipelines, two MemSQL engineers describe MemSQL’
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Community Stars Light Up MemSQL Forums
Forums, MemSQL 7.0, MemSQL free tier
The MemSQL Forums are seeing more and more community contributions – not just timely and incisive questions, but a
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Why Do Banks Need Real-Time Transaction Processing?
Financial Services, Real-time, Research
A new report from RT Insights describes the benefits of real-time transaction processing in banking and financial servic
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Case Study: Fraud Detection “On the Swipe” For a Major US Bank
Case Study, Financial Services, Performance, SQL
This case study was originally presented as part of a webinar session by Mike Boyarski, Sr. Director of Product Marketin
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Webinar: Modernizing Portfolio Analytics for Reduced Risk and Better Performance
Analytics, Financial Services, Kafka, Spark, Webinar
In this webinar Rick Negrin, Product Management VP at MemSQL, describes the importance of portfolio analytics, enhanced
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Case Study: Replacing Exadata with MemSQL to Power Portfolio Analytics and Machine Learning
Analytics, Case Study, Machine Learning, Oracle, Performance
This case study was presented as part of a webinar session by Rick Negrin, VP of Product Management at MemSQL. In the we
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Webinar: Real-Time Fraud Detection for an Improved User Experience
Analytics, Kafka, Machine Learning, SQL, Webinar
In this webinar, which you can view here, MemSQL’s Mike Boyarski describes how real-time fraud detection represent
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Webinar: Providing Better Wealth Management
Case Study, Financial Services, Webinar
Wealth management is an intensely competitive offering for banks and other financial services institutions. It requires
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The Ideal Stack for Real-Time Analytics
Analytics, Case Study, In Memory Database, Pipelines, Spark, Webinar
Real-time analytics is necessary to enable real-time decision making and to deliver enhanced customer experiences (downl
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