Strata + Hadoop World 2015 NYC is more than a daytime conference; it’s also a nighttime meetup experience. (Plus, there are a bunch of book signings.)
It won’t be long before we’re all in NYC for Strata + Hadoop World (Sept. 29-Oct. 1; if you haven’t registered yet, a 20% discount is still available). So, consider for your evening agenda:
To design effective fraud-detection architecture, look no further than the human brain (with some help from Spark Streaming and Apache Kafka).
At its core, fraud detection is about detection whether people are behaving “as they should,” otherwise known as catching anomalies in a stream of events. This goal is reflected in diverse applications such as detecting credit-card fraud, flagging patients who are doctor shopping to obtain a supply of prescription drugs,
Strata + Hadoop World New York 2015 needs your developer demos! The proposal period closes on Aug. 14.
As everyone knows, Apache Hadoop’s overwhelming success is partly premised on de-centralized innovation from all corners of the community—users, vendors, and academia—with everyone participating on a level playing field. And since 2011, Strata + Hadoop World has been a community and content hub of that ecosystem.
For the 2015 show in New York (Sept.
The Strata + Hadoop World NYC 2015 (Sept. 29-Oct. 3) agenda was published in the last few days. Congratulations to all accepted presenters!
In this post, I just want to provide a concise digest of the tutorials and sessions that will involve Cloudera or Intel engineers and/or interesting use cases. There are many worthy sessions from which to choose, so we hope this list will influence your decisions about where to spend your time during the week!
Thanks to Chen Song, Data Team Lead at AppNexus, for allowing us to republish the following post about his company’s use case for Apache Parquet (incubating at this writing), the open standard for columnar storage across the Apache Hadoop ecosystem.
At AppNexus, over 2MM log events are ingested into our data pipeline every second. Log records are sent from upstream systems in the form of Protobuf messages. Raw logs are compressed in Snappy when stored on HDFS.