I have an exam tomorrow for big data analytics and this brief explanation was exactly it that I was looking for. Thanks man. Appreciate the way you explained it in well-crafted manner. And to add more to that, amazing visuals (it makes the whole learning process a lot easier). Keep up the good work.
4:04 I think kafka serves a different purpose than gcp dataflow and azurebstream Analytics, the former being a streaming data ingestion service, and intermediary to temporarily hold the data, and the latter two being the processing engines. Azurebstream Analytics uses event hubs and gcp uses pub sub as their own streaming ingestion services. Cheers!
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I have an exam tomorrow for big data analytics and this brief explanation was exactly it that I was looking for. Thanks man. Appreciate the way you explained it in well-crafted manner. And to add more to that, amazing visuals (it makes the whole learning process a lot easier). Keep up the good work.
imagine being able to effectively explain a technical topic well.. bingo// excellent presentation
Great explanation!!
Thanks!
Great for sharing
Great Explanation. What are your views about Rust for Streaming Analytics ? What are the tools for open Source streaming Analytics ?
4:04 I think kafka serves a different purpose than gcp dataflow and azurebstream Analytics, the former being a streaming data ingestion service, and intermediary to temporarily hold the data, and the latter two being the processing engines. Azurebstream Analytics uses event hubs and gcp uses pub sub as their own streaming ingestion services.
Cheers!
Hi, 3:37 is it the producers who push data or is it consumers?
How does the digestion system work