
Vendor » Confluent
Features
Three Takeaways from Jay Kreps’ Kafka Summit Keynote
We’re always interested in hearing what Apache Kafka co-creator Jay Kreps has to say, since he’s one of the smartest folks in distributed systems today. The Confluent CEO didn’t disappoint in delivering insight int Read more…
Spring Conference Season in Full (Virtual) Swing
May is traditionally a big month for tech conferences, and 2021 will be no different. The big change, of course, is that companies will be holding their tech conferences virtually. That’s good news for folks who wan Read more…
Confluent Files to Go Public. Who Could Be Next?
Confluent, the company behind the open source Apache Kafka project, has filed to go public, the company announced this week. Confluent’s IPO has been expected for some time, but there are a number of other big data com Read more…
Big Data Career Notes: April 2021 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Big Data Career Notes: March 2021 Edition
In this monthly feature, we’ll keep you up-to-date on the latest career developments for individuals in the big data community. Whether it’s a promotion, new company hire, or even an accolade, we’ve got the details Read more…
Big Blue Taps Into Streaming Data with Confluent Connection
IBM has formed a strategic partnership with Confluent, the commercial outfit behind Apache Kafka, in a bid to make streaming data a first-class citizen in its Cloud Pak strategy. As part of the deal, IBM will be resel Read more…
Confluent Goes ‘Infinite’ with Kafka Cloud Storage
Companies that want to store oodles of event data in Kafka but don’t want to pay oodles of dollars may be interested in the new “infinite storage” option unveiled today by Confluent. The Kafka company says the new Read more…
Real-Time Data Streaming, Kafka and Analytics Part 3: Effective Planning for Data Streaming Improves Data Analytics
Data stream processing is defined as a system performing transformations for creating analytics on data inside a stream. In Part 1 of this series, we defined data streaming to provide an understanding of its importance. Read more…