Data Streaming in Action: From Kafka to Flink // IRL Meetup #65 Stockholm

Large Language Models have taken the world by storm. But what are the real use cases? What are the challenges in productionizing them? In this event, you will hear from practitioners about how they are dealing with things such as cost optimization, latency requirements, trust of output, and debugging. You will also get the opportunity to join workshops that will teach you how to set up your use cases and skip over all the headaches.

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MLOps Community IRL Meetup #65! The Stockholm MLOps Community talked to Cloudera's Solutions Engineer, Erik Steinholtz and Principal Solution Architect, Philippe Lanckvrind.

//Abstract
Erik Steinholtz and Philippe Lanckvrind share their insights on what makes us human, the fascinating world of streaming analytics, and the geeky aspect of creating simple use cases that prove the relevance of different approaches. From discussions on QR codes and turning the tables on human versus computer judgments to exploring the intricacies of streaming analytics, this episode offers a deep dive into the world of technology and its impact on our daily lives.

// Bio
Erik Steinholtz
Erik has worked with leading and innovative software companies in roles to facilitate growth in the local market.
His passion is to take innovations to their potential. His experience covers AI/ML, Data Lakehouse, BPM, B2B, EAI — all things integration, and a broad range of applications and technologies.
When he is done geeking out, he likes to do music and enjoys various outdoor activities.

Philippe Lanckvrind
Principal Solutions Engineer at Cloudera

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Timestamps
[00:00] Recent research questions human-computer judgment dynamics
[06:09] Large-scale data processing, from ingestion to analytics
[09:30] Using Nifi and Python to generate events
[11:16] Flink surpasses Spark in streaming technology evolution.
[14:21] Create SQL statement, select templates, populate, and insert
[16:54] CDC list for data, LSS connectors, and temporary tables
[20:44] The Engineer discusses the need for specific streaming technology