Recently, I had the privilege of moderating an informative discussion among data engineering professionals on a topic many of us struggle with: determining when to deploy batch or streaming data in our organization’s data architecture?
The esteemed roundtable comprised a distinguished group of main practitioners, thought leaders, and educators from within the organization.
The multifaceted approach we employed to tackle this captivating puzzle was deliberate and thorough.
- The digital landscape where corporate behemoths and innovative minds converge? Within the evolution from batch to real-time streaming information;
- The enterprise and technical advantages of each modality, along with lesser-known drawbacks.
- Best practices for those entrusted with building and maintaining these infrastructures,
- and rather more.
In this discussion, which followed an earlier video roundtable hosted by Rockset CEO Venkat Venkataramani, he was joined by a distinguished and equally respected panel of knowledge engineering consultants.
Tackling the topic, “SQL vs. NoSQL Databases within the Fashionable Knowledge Stack,” they presented key takeaways. Learn the TL;DR blog summary of the highlights here.
Here are the top eight takeaways from our conversation: Watch the 45-minute video preview on YouTube to experience the entire event firsthand, where you can also share your thoughts and opinions.
