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  1. D3.js

    D3.js

    D3.js – 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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  2. SwordBible

    SwordBible

    SwordBible

    An electronic bible. A simple, free and powerful bible study software for windows with hundreds of bibles, commentaries, daily devotions and dictionaries. It is based on the sword engine by Crosswire Bible Society. Its purpose is to create cross-platform open-source tools– covered by the GNU General Public License– that allow programmers and Bible societies to write new Bible software more quickly and easily. Its secondary purpose is to amass a library of Bibles and other Scripture related texts that can be used by all SWORD Project-based software.

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  3. Alkitab Bible Study

    Alkitab Bible Study

    Alkitab Bible Study

    Open Source Desktop Bible Study Software

    Alkitab Bible Study is an open source and free desktop Bible study software. It supports single/parallel view, commentaries, lexicons, dictionaries, glossaries, daily devotions, etc. It also comes with powerful search capability. It features rich and user friendly Bible software study tools.

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  4. Apache Spark

    Apache Spark

    Apache Spark – An Open Source Big Data Tool

    The Apache Spark is an open source system for fast and flexible large-scale data analysis. These include interactive exploration of very large datasets, near real-time stream processing, and ad-hoc SQL analytics. It is an extremely fast cluster computing system that can run data in memory. The main advantage of Apache Spark is that it runs 100 times faster than Hadoop Map reduce

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  5. 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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[profiler]
Memory usage: real: 22544384, emalloc: 22263176
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