Transactional Machine Learning at Scale with MAADS-VIPER and Apache Kafka
This blog post shows how transactional machine learning (TML) integrates data streams with automated machine learning (AutoML), using Apache Kafka®
Continue readingNews for slackers
This blog post shows how transactional machine learning (TML) integrates data streams with automated machine learning (AutoML), using Apache Kafka®
Continue readingDue to the distributed architecture of Apache Kafka®, the operational burden of managing it can quickly become a limiting factor
Continue readingI’m excited to announce a new strategic partnership with IBM. As part of this partnership, IBM will be reselling Confluent
Continue readingA fundamental challenge with today’s “data explosion” is finding the best answer to the question, “So where do I put
Continue readingWith the release of Confluent Platform 6.0, we officially made Tiered Storage generally available. At launch, we supported two major
Continue readingIt’s 3:00 am and PagerDuty keeps firing you alerts about your application being down. You need to figure out what
Continue readingThe promise of cloud computing is simplicity, speed, and cost savings. But what about workloads that can’t move to the
Continue readingSince the MongoDB Atlas source and sink became available in Confluent Cloud, we’ve received many questions around how to set
Continue readingNear-real-time insights have become a de facto requirement for Azure use cases involving scalable log analytics, time series analytics, and
Continue readingAre you looking for a way to run AWS services on premises in your own datacenter? I am excited to
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