[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Neha Narkhede on data integration, microservices, and Kafka’s roadmap. In this episode of the Data Show, I spoke with Neha Narkhede, co-founder and CTO of Confluent. As I noted in a recent post on “The Age of Machine Learning,” dataContinue reading “The current state of Apache Kafka”
Tag Archives: streaming data
Data architectures for streaming applications
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Dean Wampler on streaming data applications, Scala and Spark, and cloud computing. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data, data science, and AI. Find us on Stitcher, TuneIn, iTunes, SoundCloud, RSS.Continue reading “Data architectures for streaming applications”
A real-time processing revival
[A version of this post appears on the O’Reilly Radar blog.] Things are moving fast in the stream processing world. There’s renewed interest in stream processing and analytics. I write this based on some data points (attendance in webcasts and conference sessions; a recent meetup), and many conversations with technologists, startup founders, and investors. Certainly,Continue reading “A real-time processing revival”
Expanding options for mining streaming data
[A version of this post appears on the O’Reilly Data blog.] Stream processing was in the minds of a few people that I ran into over the past week. A combination of new systems, deployment tools, and enhancements to existing frameworks, are behind the recent chatter. Through a combination of simpler deployment tools, programming interfaces,Continue reading “Expanding options for mining streaming data”
Stream Processing and Mining just got more interesting
[A version of this post appears on the O’Reilly Strata blog.] Largely unknown outside data engineering circles, Apache Kafka is one of the more popular open source, distributed computing projects. Many data engineers I speak with either already use it or are planning to do so. It is a distributed message broker used to store1Continue reading “Stream Processing and Mining just got more interesting”
Near realtime, streaming, and perpetual analytics
[A version of this post appears on the O’Reilly Strata blog.] Simple example of a near realtime app built with Hadoop and HBase Over the past year Hadoop emerged from its batch processing roots and began to take on interactive and near realtime applications. There are numerous examples that fall under these categories, but oneContinue reading “Near realtime, streaming, and perpetual analytics”
Pattern-detection and Twitter’s Streaming API
[A version of this post appears on the O’Reilly Strata blog.] Researchers and companies who need social media data frequently turn to Twitter’s API to access a random sample of tweets. Those who can afford to pay (or have been granted access) use the more comprehensive feed (the firehose) available through a group of certifiedContinue reading “Pattern-detection and Twitter’s Streaming API”