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Displaying posts with tag: Kafka (reset)

Exploring message brokers
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Message brokers are not regularly covered here but are, nonetheless, important web-related technologies. Some time ago, I was asked by one of our customer to review a selection of OSS message brokers and propose a couple of good candidates. The requirements were fairly simple: behave well when there’s a large backlog of messages, be able to create a cluster and in case of the failure of a node in a cluster, try to protect the data but never blocks the publishers even though that might imply data lost. Nothing fancy regarding queues and topics management. I decided to write my findings here, before I forget…

I don’t consider myself a message broker specialist and I spent only about a day or two on each so, I may have done some big mistakes configuration wise. I’ll


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Stream Processors and DBMS Persistence
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High-Velocity Data—AKA Fast Data or Streaming Data—seems to be all the rage these days. With the increased adoption of Big Data tools, people have recognized the value contained in this data and they are looking to get that value in real-time instead of a time-shifted batch process that can often introduce a 6-hour (or more) delay in time-to-value.
High-velocity data has all of the earmarks of a big technological wave. The technology leaders are building stream processors. Venture firms are investing money in stream processing companies. And existing tech companies are jumping on the bandwagon and associating their products with this hot trend; making them buzzword compliant.
Some have asked whether high-velocity data will complement or replace Big Data. Big Data addresses pooled data, or

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Stream Processors and DBMS Persistence
+0 Vote Up -0Vote Down
High-Velocity Data—AKA Fast Data or Streaming Data—seems to be all the rage these days. With the increased adoption of Big Data tools, people have recognized the value contained in this data and they are looking to get that value in real-time instead of a time-shifted batch process that can often introduce a 6-hour (or more) delay in time-to-value. High-velocity data has all of the earmarks of a big technological wave. The technology leaders are building stream processors. Venture firms are investing money in stream processing companies. And existing tech companies are jumping on the bandwagon and associating their products with this hot trend; making them buzzword compliant. Some have asked whether high-velocity data will  [Read more...]
Showing entries 1 to 3

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