Compacted Topic is a feature of Apache Kafka to persist and query the latest up-to-date event of a Kafka Topic. The log compaction and key/value search is simple, cost-efficient and scalable. This blog post shows in a success story of Intersport how some use cases store data long term in Kafka with no other database. The retailer requires accurate stock info across the supply chain, including the point of sale (POS) in all international stores.
This blog post explores the state of data streaming for the retail industry in 2023 with omnichannel customer experiences, hybrid shopping models, and hyper-personalized recommendations. Data streaming allows integrating and correlating data in real time at any scale. I explore customer stories from Walmart, Albertsons, Otto, AO.com, and more, including a slide deck and on-demand video recording.
This blog post explores real-world deployments across the end-to-end supply chain powered by data streaming with Apache Kafka to improve business processes with real-time services. The examples include manufacturing, logistics, stores, delivery, restaurants, and other parts of the business. Case studies include Walmart, Albertsons, Instacart, Domino’s Pizza, Migros, and more.
Live commerce combines instant purchasing of a featured product and audience participation. This blog post explores the need for real-time data streaming with Apache Kafka between applications to enable live commerce across online stores and brick & mortar stores across regions, countries, and continents in any retail business. The discussion covers several buildings blocks of a live commerce enterprise architecture, including transactional data processing, omnichannel, natural language processing, augmented reality, edge computing, and more.
Augmented Reality (AR) and Virtual Reality (VR) get traction across industries far beyond gaming – including retail, manufacturing, transportation, and healthcare. This blog post explores a retail demo that integrates a cutting-edge AR mobile shopping experience with the backend systems via the event streaming platform Apache Kafka.
Event Streaming with Apache Kafka disrupts the retail industry. Walmart’s real-time inventory system and Target’s omnichannel distribution and logistics are two great examples. This blog post explores a key use case for postmodern retail companies: Real-time omnichannel retail and customer 360.
This blog post explores an infrastructure checklist to build an open, flexible, and scalable event streaming architecture with Apache Kafka at the edge outside data centers.
Event Streaming with Apache Kafka disrupts the retail industry. This blog post explores a concrete use case as part of the overall story: A hybrid streaming architecture to build smart retail stores for autonomous or disconnected edge computing and replication to the cloud with Apache Kafka.
This blog post explores use cases, architectures, and real-world deployments of Apache Kafka in edge, hybrid, and global retail deployments at companies such as Walmart and Target.