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Nowadays, there is a huge amount of information locked up in databases and these information can ... more Nowadays, there is a huge amount of information locked up in databases and these information can be exploited with machine learning techniques, which aim to find and describe structural patterns in data. After a clear dominance of Hadoop MapReduce as a Cloud Computing engine, Spark emerged as its successor because works in memory. This fact improved vastly the performance of machine learning algorithms and streaming applications.
Nowadays, there is a huge amount of information locked up in databases and these information can ... more Nowadays, there is a huge amount of information locked up in databases and these information can be exploited with machine learning techniques, which aim to find and describe structural patterns in data. After a clear dominance of Hadoop MapReduce as a Cloud Computing engine, Spark emerged as its successor because works in memory. This fact improved vastly the performance of machine learning algorithms and streaming applications.