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  1. Apache Drill

    Apache Drill

    Apache Drill โ€“ An Open Source Big Data Tool

    Apache Drill is an open source software framework that supports data-intensive distributed applications for interactive analysis of large-scale datasets. The main feature of Drill is it is able to scale to 10,000 servers or more and to be able to process petabytes of data and trillions of records in seconds.

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  2. D3.js

    D3.js

    D3.js โ€“ An Open Source Big Data Tool

    D3.js is an open source JavaScript library which allows you to manipulate documents that display Big Data. D3 stands for Data Driven Documents. D3 has been designed to be extremely fast, it supports Big Data datasets, and it has cross-hardware platform capability. D3.js is used to create dynamic graphics using Web standards like HTML5, SVG and CSS.

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  3. HCatalog

    HCatalog

    HCatalog- An Open Source Big Data Tool

    HCatalog is an open source metadata and table management framework that works with Hadoop HDFS data. HCatalog is used to liberate Big Data by allowing different tools to share, that means that Hadoop users making use of a tool like Pig or MapReduce or Hive have immediate access to data created with another tool, without any loading or transfer steps.

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  4. Apache Storm

    Apache Storm

    Apache Storm- An Open Source Big Data Tool

    Apache Storm is an open source distributed real-time computation system. Storm makes it easy to reliably process unbounded streams of data, doing for real-time processing. Storm is simple, can be used with any programming language.

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  5. RapidMiner

    RapidMiner

    RapidMiner โ€“ An Open Source Data Mining Tool

    RapidMiner is an Open Source Data Mining Tool used for the purpose of machine learning, data mining, text mining, predictive analytics and business analytics. RapidMiner can easily integrate your own specialized algorithms by leveraging its powerful and open extension APIs. RapidMiner Studio breaks away from the limitations of traditional data analysis tools and allows you to work with large data sources for In-memory, in-database and in-Hadoop analytics for every size data source.

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[profiler]
Memory usage: real: 22544384, emalloc: 22292912
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