Tag Archives: Big Data

How-to: Build a Complex Event Processing App on Apache Spark and Drools

Categories: HBase How-to Kafka Spark Use Case

Combining CDH with a business execution engine can serve as a solid foundation for complex event processing on big data.

Event processing involves tracking and analyzing streams of data from events to support better insight and decision making. With the recent explosion in data volume and diversity of data sources, this goal can be quite challenging for architects to achieve.

Complex event processing (CEP) is a type of event processing that combines data from multiple sources to identify patterns and complex relationships across various events.

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How-to: Build a Machine-Learning App Using Sparkling Water and Apache Spark

Categories: CDH Data Science Guest How-to Spark

Thanks to Michal Malohlava, Amy Wang, and Avni Wadhwa of H20.ai for providing the following guest post about building ML apps using Sparkling Water and Apache Spark on CDH.

The Sparkling Water project is nearing its one-year anniversary, which means Michal Malohlava, our main contributor, has been very busy for the better part of this past year. The Sparkling Water project combines H2O machine-learning algorithms with the execution power of Apache Spark.

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Continuous Distribution Goodness-of-Fit in MLlib: Kolmogorov-Smirnov Testing in Apache Spark

Categories: Spark

Thanks to former Cloudera intern Jose Cambronero for the post below about his summer project, which involved contributions to MLlib in Apache Spark.

Data can come in many shapes and forms, and can be described in many ways. Statistics like the mean and standard deviation of a sample provide descriptions of some of its important qualities. Less commonly used statistics such as skewness and kurtosis provide additional perspective into the data’s profile.

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Community Meetups at Strata + Hadoop World NYC 2015

Categories: Community Events

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:

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Using Apache Spark for Massively Parallel NLP at TripAdvisor

Categories: Guest Spark Use Case

Thanks to Jeff Palmucci, Director of Machine Learning at TripAdvisor, for permission to republish the following (originally appeared in TripAdvisor’s Engineering/Operations blog).

Here at TripAdvisor we have a lot of reviews, several hundred million according to the last announcement. I work with machine learning, and one thing we love in machine learning is putting lots of data to use.

I’ve been working on an interesting problem lately and I’d like to tell you about it.

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