Tag: Jay Kreps

Confluent Moves Kafka to the Cloud

May 8, 2017 |

As adoption of the Apache Kafka accelerates, the company behind the data pipeline is rolling a cloud service designed to boost “developer velocity” while IT operations are handled in the background. Read more…

Exactly Once: Why It’s Such a Big Deal for Apache Kafka

Feb 9, 2017 |

Organizations building real-time stream processing systems on Apache Kafka will be able to trust the platform to deliver each messages exactly once when they adopt new Kafka technology planned to be unveiled this spring, executives with Confluent tell Datanami. Read more…

Reporter’s Notebook: 6 Key Takeaways from Strata + Hadoop World

Apr 5, 2016 |

The big data ecosystem was on full display at last week’s Strata + Hadoop World conference in San Jose. At the ripe old age of 10, Hadoop is still the driving force, but newer frameworks like Spark and Kafka are gaining steam. Read more…

Distributed Stream Processing with Apache Kafka

Mar 26, 2016 |

We’re only three months into 2016, but it has been an exciting year in open source and big data. With a marked jump in growth, usage and queries on Apache Kafka (Redmonk), the demand for engineering and DevOps jobs requiring Kafka talent is creating huge demand for training and skills development, as users look to leverage new features and create new deployments. Read more…

Kafka Gets a Stream-Processing Makeover

Mar 14, 2016 |

A new library for building streaming applications seeks to shift the focus from analytics to developing core application used to process data streams.

Confluent Inc. announced a technical preview this week of a new technical feature in Apache Kafka called Kafka Streams. Read more…

Confluent Gives Kafka More Enterprise Chops

Dec 8, 2015 |

Confluent today unveiled a major new release of its commercial product based on Kafka, the open source data messaging platform that’s quickly gaining momentum. With better security, new data connectors, and simplified integration, Confluent 2.0 promises to attract even more attention from large enterprises that are moving big data with Kafka. Read more…