Data architecture Definitions

  • A

    Apache Hadoop YARN

    Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework.

  • D

    data analytics (DA)

    Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information.

  • data engineer

    A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses.

  • data warehouse as a service (DWaaS)

    Data warehousing as a service (DWaaS) is an outsourcing model in which a service provider configures and manages the hardware and software resources a data warehouse requires, and the customer provides the data and pays for the managed service.

  • G

    Google BigQuery

    Google BigQuery is a cloud-based big data analytics web service for processing very large read-only data sets. BigQuery was designed for analyzing data on the order of billions of rows, using a SQL-like syntax.

  • H

    Hadoop

    Hadoop is an open source distributed processing framework that manages data processing and storage for big data applications running in clustered systems.

  • M

    multimodel database

    A multimodel database is a data processing platform that supports multiple data models, which define the parameters for how the information in a database is organized and arranged.

  • N

    NewSQL

    NewSQL is a term coined by the analyst firm The 451 Group as shorthand to describe vendors of new, scalable, high performance SQL databases.

  • S

    semantic technology

    Semantic technology is a set of methods and tools that provide advanced means for categorizing and processing data, as well as for discovering relationships within varied data sets.

  • T

    TensorFlow

    TensorFlow is an open source framework developed by Google researchers to run machine learning, deep learning and other statistical and predictive analytics workloads.

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