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Mid-year Updates for Big Data Trends: Apache Kafka, Spark, Flink, Drill, and More
In January, I made predictions about six big data trends for 2016 (“What Will You Do in 2016?”). Now we’ve reached the mid-and-a-bit-more year, so it’s a good time to check them out and see how well these predictions match what has happened so far in 2016, what is surprising about that, and what’s likely to come in the second half of the year.
Predicting Loan Credit Risk using Apache Spark Machine Learning Random Forests
Random forests are one of the most successful machine learning models for classification. In this blog post, I’ll help you get started using Apache Spark’s spark.ml Random forests for classification of bank loan credit risk.
Apache Spark Machine Learning Tutorial
Decision trees are widely used for the machine learning tasks of classification and regression. In this blog post, I’ll help you get started using Apache Spark’s MLlib machine learning decision trees for classification.
Aug 31, 2016 to Sep 1, 2016Melbourne, AustraliaHadoop Summit 2016
Hadoop Summit is community focused and all the conference sessions are voted on by the public and selected by a committee of industry luminaries. At Hadoop Summit you'll get deep-dive technical content from committers across a wide range of advanced/basic topics and projects.
Aug 30, 2016San Francisco, CABig Data Everywhere San Francisco 2016
MapR is proud to co-present Big Data Everywhere San Francisco, a one-day conference focused on Hadoop, Spark and other big data technologies that brings together users and developers to share their experience via technical sessions and user success stories.
Aug 10, 2016Saint Louis, MOBig Data & Analytics Midwest Summit - August 10, 2016
Learn, network, have fun & hit it out of the park with us on August 10th Join us at Ballpark Village with Big Data & Analytics industry leaders from local Fortune 500 firms and market leading Big Data & Analytics firms and watch the Cardinal game afterwards from the balcony at Ballpark Village.