Spark provides in-memory data processing for the developers and the data scientistsĬompanies, including Netflix, Yahoo, eBay, and many more, have deployed Spark at a massive scale. It extends the Hadoop MapReduce model to effectively use it for more types of computations like interactive queries, stream processing, etc.Īpache Spark enables batch, real-time, and advanced analytics over the Hadoop platform. It is a popular open-source unified analytics engine for big data and machine learning.Īpache Software Foundation developed Apache Spark for speeding up the Hadoop big data processing. Let us now explore popular Hadoop analytics tools. The article enlists the top analytics tools used for processing or analyzing big data and generating insights from it. Boost your career with Free Big Data Courses!!Įxplore different Hadoop Analytics tools for analyzing Big Data and generating insights from it.Īpache Hadoop is an open-source framework developed by the Apache Software Foundation for storing, processing, and analyzing big data.
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