Загрузка страницы

The Top 5 Cutting-Edge Use Cases and Architectures for Data in Motion by Kai Waehner

With just a few weeks of 2021 left, it’s time to make some predictions on the top use cases for data in motion to see in 2022. Given the unpredictability of 2021 this may seem brave or even a little fool-hardy but Kai Waehner is willing to strike out and offer his predictions for next year.

Kai will discuss his top five cutting-edge use cases and architectures for event streaming that will be adopted by many enterprises in 2022:
1. The Kappa architecture
2. Hyper-personalized Omnichannel
3. Multi-cloud deployments
4. Edge analytics
5. Real-time cybersecurity

Видео The Top 5 Cutting-Edge Use Cases and Architectures for Data in Motion by Kai Waehner канала Big Things Conference
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
20 декабря 2021 г. 17:45:59
00:36:44
Другие видео канала
Big Things Conference 11th edition coming soonBig Things Conference 11th edition coming soonBringing AI to Low-Income Countries to Boost Global Health, Africa Periañez  Founder at benshi.aiBringing AI to Low-Income Countries to Boost Global Health, Africa Periañez Founder at benshi.aiSimilarities and differences of Spark, Dask, and Ray by Holden KarauSimilarities and differences of Spark, Dask, and Ray by Holden KarauDo Data Scientists have a future in the era of Machine Learning automation? by Nerea Luis MinguezaDo Data Scientists have a future in the era of Machine Learning automation? by Nerea Luis MinguezaWhat is the role of Product Managers in an ML powered product? by Oren SteinbergWhat is the role of Product Managers in an ML powered product? by Oren SteinbergOvercoming Event-driven Microservices challenges with Dapr by Carlos MendibleOvercoming Event-driven Microservices challenges with Dapr by Carlos MendibleID document verification system for an easy and secure eID onboarding by Jesús Alonso and Kais DaiID document verification system for an easy and secure eID onboarding by Jesús Alonso and Kais DaiProduction-grade ML Pipelines – From Data To Metadata by Jörg SchadProduction-grade ML Pipelines – From Data To Metadata by Jörg SchadImplementing a multi-cloud CDP in Google Compute Platform by Kevin Daly and Juan Manuel PozoImplementing a multi-cloud CDP in Google Compute Platform by Kevin Daly and Juan Manuel PozoZoom for All by Harry D. MoseleyZoom for All by Harry D. MoseleyAI Opens New Doors for Meaningful Participation in Wildlife Research by Jason HolmbergAI Opens New Doors for Meaningful Participation in Wildlife Research by Jason HolmbergThe Future of the Global Space Industry in an Exponential World by Emeline Paat-DahlstromThe Future of the Global Space Industry in an Exponential World by Emeline Paat-DahlstromHow long does it take to sell my home? Survival analysis in housing markets by Alessandro GalesiHow long does it take to sell my home? Survival analysis in housing markets by Alessandro GalesiSpace Traffic Management – The future of spaceflight by Kai-Uwe SchroglSpace Traffic Management – The future of spaceflight by Kai-Uwe SchroglNLP in Legaltech – Empowering our lawyers with language models by Álvaro BarberoNLP in Legaltech – Empowering our lawyers with language models by Álvaro BarberoLet me Share my Source Code! Hacking Frank’s DNA by Frank MunzLet me Share my Source Code! Hacking Frank’s DNA by Frank MunzUser Oriented Development Process by Viacheslav KovalevskyiUser Oriented Development Process by Viacheslav KovalevskyiProcess Mining by Alberto Fernández & Marta ArranzProcess Mining by Alberto Fernández & Marta ArranzWorking with time-series data at scale by Javier RamírezWorking with time-series data at scale by Javier RamírezHow Transformers can “transform” how we fight against fake news by Rubén MíguezHow Transformers can “transform” how we fight against fake news by Rubén Míguez
Яндекс.Метрика