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The Top Five Use Cases & Architectures for Data In Motion in 2022

Listen now to access this fascinating online talk in which Kai Waehner, Field CTO at Confluent, will deliver his predictions on the hottest and most important data in motion use cases for 2022. hear his top five cutting-edge use cases and architectures that will be adopted by many enterprises in 2022. Learn how companies will leverage event streaming, Apache Kafka, and Confluent to meet the demand of a real-time market, rising regulations, and customer expectations, and much more in 2022:

  1. Kappa Architectures: A single event-based data pipeline powered by event streaming for real-time, batch and request-response communication replaces the Lambda pattern as the de facto standard for big data architectures. Kappa simplifies the architecture and provides true business value by allowing data processing and analytics in real-time instead of batch mode.
  2. Hyper-personalized Omnichannel: Customer experiences across multiple channels like browser, smartphone, and on-site branches are becoming the norm. Real-time data correlation between backend and frontend systems in conjunction with location-based services provides a new level of customer love.
  3. Multi-cloud architecture: Disaster recovery, cost-efficiency, innovation, and merger & acquisitions require enterprises to stream data across cloud providers. Linking between clusters enables bi-directional and reliable real-time replication across all channels and regions.
  4. Edge Analytics: While most enterprises have a cloud-first strategy, more and more data is processed at the edge due to cost, latency, and security requirements. Edge analytics goes one step further and applies innovative business logic outside the data center or cloud.
  5. Real-time Cybersecurity: Cyber threats are not new. However, our more and more connected world increases the risks. Successful ransomware attacks across the globe enforce enterprises to take action by implementing situational awareness and threat intelligence in real-time at scale to act proactively against cyber attacks.

Presenter

Kai Waehner

Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Cloud / Hybrid Architectures, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is a regular speaker at international conferences such as Kafka Summit, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog (www.kai-waehner.de/blog). Contact and references: contact@kai-waehner.de / @KaiWaehner / www.kai-waehner.de / LinkedIn (https://www.linkedin.com/in/kaiwaehner).