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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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Support for the ORC File Format As part of the Stinger Initiative, the Hive community introduced the Optimized Row Columnar (ORC) file format.
This is a basic unstabilzed telephoto that works great - on a tripod or if you hold it steady, on all Canon dslrs and EOS 35mm cameras.February 2017 : Canon 77D, Canon Rebel T7i, Canon EOS M6, Sony 24-70/2.8 GM, Sony 85mm f/1.4 GM, Sony 70-200mm f/4 G OSS, Sony FE 100mm f/2.8 STF GM OSS, Sony FE 85mm f/1.8.Rebel T6 w/18-55mm IS II EF 75-300mm F4-5.6 III : 449 includes free MX922 printer/scanner/FAX.This technical overview describes how to: Run Spark on yarn and run the canonical Spark examples: SparkPi and Wordcount.Stage 2 Deploy Production Spark Applications The second stage involves running the prototype application against a much larger dataset to fine tune it and get discount shopping centre paris it ready for a production deployment.