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Data validation One of the very common problem in programming is data validation. In a word, we want to make sure that every incoming data has the correct structure. We need to discriminate unsafe external inputs from safe, compiler validated data. In a typical web application, you need do that on every request. Surely, it could have an impact on the performances of your application. In this artic
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Scala and big data in ICM. Scoobie, Scalding, Spark, Stratosphere. Scalar 2014 This document discusses various big data frameworks including Spark, Scoobi, Hadoop, and GraphX. It provides an example of using Spark to interactively analyze log data stored on HDFS. Spark allows loading data into memory and running multiple queries efficiently. The document also discusses benefits of Spark such as it
Written by Anupama Shetty 4/13/17 Code coverage as defined by Wikipedia refers to a measure used to describe the degree to which the source code of a program is executed when a particular test suite runs. Thus, serving as a metric to track the percentage of code lines having a corresponding test to validate its functionality. While code coverage itself is not a self sufficient metric and may not a
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