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The following table provides a few examples, from insurance to internet companies, of how Spark is being used: Insurance, optimize their claims reimbursements process by using Sparks machine learning capabilities to process and analyze all claims.World's most ergonomic macro lens, with great optics.For example: hadoop fs -cat /tmp/wordcount/part-00000 Using the Spark DataFrame API The DataFrame API provides easier access to data, because it looks conceptually like a table.Earn points when you shop, join Now. Data scientists commonly use machine learning a set of techniques and algorithms that can learn from data.Use ORC files with Spark, with examples.Txt hdfs dfs -copyFromLocal people.K-Means, Generalized Linear Models (GLM Naive Bayes and Survival Regression are now supported.Geospatial Analysis, analyze Uber trips by time and geography to predict future demand and pricing.
For ease of use, Apache Zeppelin is an emerging tool that provides Notebook features for Spark.
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