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  2. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [1] [4] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.

  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. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1]

  5. Travelling salesman problem - Wikipedia

    en.wikipedia.org/wiki/Travelling_salesman_problem

    Create duplicates for every edge to create an Eulerian graph. Find an Eulerian tour for this graph. Convert to TSP: if a city is visited twice, then create a shortcut from the city before this in the tour to the one after this. To improve the lower bound, a better way of creating an Eulerian graph is needed.

  6. Data orientation - Wikipedia

    en.wikipedia.org/wiki/Data_orientation

    Data orientation is the representation of tabular data in a linear memory model such as in-disk or in-memory.The two most common representations are column-oriented (columnar format) and row-oriented (row format).

  7. Louvain method - Wikipedia

    en.wikipedia.org/wiki/Louvain_method

    The inspiration for this method of community detection is the optimization of modularity as the algorithm progresses. Modularity is a scale value between −1 (non-modular clustering) and 1 (fully modular clustering) that measures the relative density of edges inside communities with respect to edges outside communities.

  8. Chunked transfer encoding - Wikipedia

    en.wikipedia.org/wiki/Chunked_transfer_encoding

    Chunked transfer encoding is a streaming data transfer mechanism available in Hypertext Transfer Protocol (HTTP) version 1.1, defined in RFC 9112 §7.1.In chunked transfer encoding, the data stream is divided into a series of non-overlapping "chunks".

  9. Plotly - Wikipedia

    en.wikipedia.org/wiki/Plotly

    Dash Enterprise connects to major big data backends, including Salesforce, PostgreSQL, Databricks via PySpark, Snowflake, Dask, Datashader, and Vaex. [39] In 2020, Plotly partnered with NVIDIA to integrate Dash with RAPIDS, [ 40 ] and NVIDIA participated in Plotly’s Series C funding round.