![]() ML algorithms process the millions of interactions by the user with the e-commerce platform, after they are represented in the form of (complicated) graphs. Unstructured data sources can be anything like feedback from customers. Your newsletter subscriptions are subject to AIM Privacy Policy and Terms and Conditions.Į-commerce : In e-commerce industry, real-time transaction information could be passed to a streaming clustering algorithm like k-means and the results of this can be combined or merged with other unstructured data sources and can be used to continuously improve recommendations over time with new trends and demands. Tasks such as player retention, targeted advertising, auto-adjustment of complexity in the game can be deployed to it. Use Cases:įollowing are some of the most popular applications of the Apache Spark engine in various fields:Įntertainment : It is used in the gaming industry to discover patterns from the potential firehose of real-time in-game events and respond to them within no time. That is why it has gained a lot of importance to use with ML applications. ![]() Apache Spark provides real-time streaming, interactive processing, graph processing, in-memory processing and batch processing with a very fast and simple interface. In industrial applications there is a need for an engine which is powerful enough to process data in real time and can perform in batch mode, as well as an engine that can perform in-memory processing. Distributing these processes via Apache Spark is the easiest, fastest and most efficient way. Many processes in machine learning are computationally heavy. It can integrate with the Hadoop ecosystem very conveniently. ![]() Its main objective is to provide a unified platform for big data applications. It provides rich APIs in Java, Python, R and Scala. Spark is more efficient than big data Hadoop and faster than accessing data from disk. Spark runs on memory (RAM) instead of a disk and hence carries out the data processing faster. That is because Apache Spark is the fastest engine for big data processing. Many top technology corporations like Yahoo, eBay, Facebook and Amazon are now actively using Apache Spark in their services.
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