In March 2013, I was at 33rd Degree – “A Conference for Java Masters”. I had two talks, including a new one: “You are not Facebook or Google? Why you should still care about Big Data”. It is a great talk to give an overview about big data, especially from a business perspective (paradigm shift, business value, challenges). However, I also talk about alternatives for big data from a technology perspective, mainly about the defacto standard Apache Hadoop, its ecosystem (Hive, Pig, HBase, Oozie, Sqoop, etc.), distributions (Cloudera, Hortonworks, MapR), and tooling (i.e. big data suites, e.g. Talend, Informatica, Oracle, IBM).
I want to share the slides with you:
You are currently viewing a placeholder content from Default. To access the actual content, click the button below. Please note that doing so will share data with third-party providers.
As always, I appreciate every feedback, questions and other comments…
Best regards,
Kai Wähner (Twitter: @KaiWaehner)
Agentic AI without governed processes is fast but ungoverned. Event-driven integration without process intelligence moves…
Two toolchains, two skill sets, two CI/CD pipelines — that has been the reality for…
The Shift Left Architecture moves data integration logic into an event-driven architecture where governed data…
The Ultimate Fighting Championship (UFC) held Fight Night London on March 21, 2026, at The…
Dashboards are a popular way to make streaming data visible and useful, but they are…
Mobile World Congress (MWC) 2026 highlights the shift from batch systems to real time data…