What is Apache Hadoop and how to leave it behind in 2026? Migrate your legacy cluster to an open lakehouse with AI: Iceberg, Kubernetes and agents, with measurable ROI and zero downtime.
Big Data 2026: From hoarding data to autonomous AI agents that decide In 2017, when we published the first version of this guide, the challenge was storing and processing ever-growing volumes. Today,…
2026 problem: 45 products, 12 channels, 3.2M customers. Legacy rules engine: 180 days to launch a new campaign. CTR 0.8%. Marketing opt-out +31% YoY. BAOSS solution: Customer 360 on Iceberg (event streaming…
Events in DDD platforms use to be raised by interaction with external sources, and those events use to be generated from commands (updates, creations, deletions, or pure business actions). Distributed computing platforms…
Event Sourcing from Static Data in 2026: the BAOSS IT consulting solution without Distributed Schedulers In August 2020 we published on this blog an approach to event sourcing from static data using…
Event Sourcing with Static Data in 2026: the BAOSS IT consulting solution without Distributed Schedulers In August 2020 we published on this blog an approach to event sourcing from static data using…
Event Sourcing with Static Data in 2026: the BAOSS IT consulting solution without Distributed Schedulers In August 2020 we published on this blog an approach to event sourcing from static data using…
Social data selling 2026: AI, privacy and real ROI In 2016 we wrote that “if something is free, the product is you”. Nine years later, the phrase falls short. The product is…
Data + AI Stack 2026: From Hadoop to Autonomous Agents In 2017 we published on this blog the evolution of the Big Data stack: from GFS/MapReduce to Colossus, Spanner and Dataflow. Eight…
What is Apache Hadoop? From the big data era to the AI lakehouse In June 2015 we published on this very blog an introduction to Apache Hadoop. The title was simple: “What…
