Enabling Modern Architectures with Redis

Enabling Modern Architectures with Redis

In this virtual summit, we will discuss how adding cloud-native in-memory enterprise grade caching can improve the end-user digital experience by orders of magnitude.

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An emerging trend among both established organizations and burgeoning startups is the crucial role that data and digital technology play in accelerating digital innovation. Feeding into this trend is the greater volumes and varieties of data being generated, collected, analyzed, and served in real-time for instantaneous user experiences.

In this virtual summit, we will discuss how adding cloud-native in-memory enterprise grade caching can improve the end-user digital experience by orders of magnitude. We'll cover the many caching patterns seamlessly supported by Redis Enterprise and how they can enable real-time data serving across trending architectures such as microservices, online feature stores, data virtualization, lambda/kappa architectures, and more.



  Mike Matchett is Principal Analyst & CEO with Small World Big Data. For the past 6 years, Mike has led Small World Big Data as an independent industry analyst. Prior to that Mike worked as an industry analyst for Taneja Group and TechTarget. Mike covers hyperconverged architectures, virtual compute and desktop technologies, AI/ML, and NoSQL databases. Mike holds a BSEE from MIT and served as a Chief Intelligence Officer in the United States Air Force. Learn more at: smallworldbigdata.com Twitter: @smworldbigdata




 

Allen Terleto is Field CTO, Redis. Allen partners with leading financial institutions, fintechs, ecommerce retailers, cloud-native hyper-scalers, gaming companies, and more to reimagine how quickly they can process, analyze, predict, and take data-driven actions. He has broad technical and business experience with a specialization in distributed, low-latency, and high-throughput mission critical systems. Allen holds a Bachelor’s Degree in Computer Science along with an Advanced Graduate Certificate in Enterprise Risk Management from NYU and both an MBA and MSIS from Stevens Institute of Technology.



 

Sam Partee is a Principal Engineer helping lead the AI effort at Redis and supporting customers deploying Redis in machine learning workflows. Sam has a background in High Performance Computing and previously worked at Cray and HPE on projects like SmartSim, Chapel, and DeterminedAI. Sam holds a bachelor's degree in computer science from Haverford College with focus on high performance computing.