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  2. SPARK (programming language) - Wikipedia

    en.wikipedia.org/wiki/SPARK_(programming_language)

    For example, we may alter the above specification to say: procedure Increment (X : in out Counter_Type) with Global => null, Depends => (X => X); This specifies that the Increment procedure does not use (neither update nor read) any global variable and that the only data item used in calculating the new value of X is X itself.

  3. Apache Spark - Wikipedia

    en.wikipedia.org/wiki/Apache_Spark

    The Dataframe API was released as an abstraction on top of the RDD, followed by the Dataset API. In Spark 1.x, the RDD was the primary application programming interface (API), but as of Spark 2.x use of the Dataset API is encouraged [3] even though the RDD API is not deprecated. [4] [5] The RDD technology still underlies the Dataset API. [6] [7]

  4. Data deduplication - Wikipedia

    en.wikipedia.org/wiki/Data_deduplication

    Source deduplication ensures that data on the data source is deduplicated. This generally takes place directly within a file system. The file system will periodically scan new files creating hashes and compare them to hashes of existing files. When files with same hashes are found then the file copy is removed and the new file points to the old ...

  5. pandas (software) - Wikipedia

    en.wikipedia.org/wiki/Pandas_(software)

    Because column names are stored as an index, these are not required to be unique. [9]: 103–105 If data is a Series, then data['a'] returns all values with the index value of a. However, if data is a DataFrame, then data['a'] returns all values in the column(s) named a. To avoid this ambiguity, Pandas supports the syntax data.loc['a'] as an ...

  6. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    It offers expanded authentication and file export options, and does not limit sharing and viewing. [ 14 ] Data visualization libraries Plotly.js is an open-source JavaScript library for creating graphs and powers Plotly.py for Python , as well as Plotly.R for R , MATLAB , Node.js , Julia , and Arduino and a REST API.

  7. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    Examples of fact data include sales price, sale quantity, and time, distance, speed and weight measurements. Related dimension attribute examples include product models, product colors, product sizes, geographic locations, and salesperson names. A star schema that has many dimensions is sometimes called a centipede schema. [4]

  8. Apache Parquet - Wikipedia

    en.wikipedia.org/wiki/Apache_Parquet

    Apache Parquet is a free and open-source column-oriented data storage format in the Apache Hadoop ecosystem. It is similar to RCFile and ORC, the other columnar-storage file formats in Hadoop, and is compatible with most of the data processing frameworks around Hadoop.

  9. Word2vec - Wikipedia

    en.wikipedia.org/wiki/Word2vec

    For example, word2vec has been used to map a vector space of words in one language to a vector space constructed from another language. Relationships between translated words in both spaces can be used to assist with machine translation of new words.