Convening With Data Streaming Engineers at Current 2024
Blog post from Confluent
The text discusses the paradigm shift towards data streaming engineering due to the widespread adoption of microservices, cloud computing, and Apache Kafka. It highlights that as companies become software-powered by artificial intelligence, the responsibility for AI/ML engineering will bleed across roles, making it essential for software engineers to build AI-powered applications and services capable of making real-time decisions. The text emphasizes the importance of data streaming platforms like Apache Kafka in keeping context up to date and mentions various sessions from Current 2024 that cover topics related to data streaming engineering. It encourages practitioners and leaders to understand what a data streaming engineer does and invest in themselves to advance their careers in this field.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Real-time | 20 | 3,932 | 887 | 192 | +47% |
| LLM | 2 | 3,889 | 441 | 129 | +7% |
| AI Agents | 1 | 576 | 82 | 45 | +82% |
| Data Pipeline | 1 | 1,400 | 332 | 68 | +111% |
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