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OpenRefine
OpenRefine

10
1
+ 1
0
Pig
Pig

38
54
+ 1
4
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Pig vs OpenRefine: What are the differences?

What is Pig? Platform for analyzing large data sets. Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce. .

What is OpenRefine? Desktop application for data cleanup and transformation. It is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

Pig and OpenRefine can be primarily classified as "Big Data" tools.

Pig and OpenRefine are both open source tools. It seems that OpenRefine with 6.54K GitHub stars and 1.15K forks on GitHub has more adoption than Pig with 583 GitHub stars and 447 GitHub forks.

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What is OpenRefine?

It is a powerful tool for working with messy data: cleaning it; transforming it from one format into another; and extending it with web services and external data.

What is Pig?

Pig is a dataflow programming environment for processing very large files. Pig's language is called Pig Latin. A Pig Latin program consists of a directed acyclic graph where each node represents an operation that transforms data. Operations are of two flavors: (1) relational-algebra style operations such as join, filter, project; (2) functional-programming style operators such as map, reduce.
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        What tools integrate with OpenRefine?
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        What are some alternatives to OpenRefine and Pig?
        Trifacta
        It is an Intelligent Platform that Interoperates with Your Data Investments. It sits between the data storage and processing environments and the visualization, statistical or machine learning tools used downstream
        R
        R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.
        Python
        Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
        Pandas
        Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more.
        Apache Spark
        Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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