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 mart (datamart)

    A data mart is a repository of data that is designed to serve a particular community of knowledge workers.

  • 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.

  • What is Data Management and Why is it important?

    Data management is the process of ingesting, storing, organizing and maintaining the data created and collected by an organization, as explained in this in-depth look at the process.

  • 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.

  • O

    OLAP (online analytical processing)

    OLAP (online analytical processing) enables a user to easily and selectively extract and view data from different points-of-view.

  • 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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