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e. In computing, extract, transform, load ( ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning ), and loaded into an output data container. The data can be collated from one or more sources and it can also be output to one or more destinations. ETL processing is typically executed using ...
Available in. Python. Type. Data analytics, data management. License. Apache License 2.0. Website. docs .getdbt .com. data build tool ( dbt) is an open-source command line tool that helps analysts and engineers transform data in their warehouse more effectively.
A data vault enterprise data warehouse provides both; a single version of facts and a single source of truth. [3] The modeling method is designed to be resilient to change in the business environment where the data being stored is coming from, by explicitly separating structural information from descriptive attributes. [4]
Snap-on, Bahco, Blue-Point, Williams, CDI Torque Products, [27] Sun diagnostic tools in Europe and Brazil: Hand tools, air tools, power tools, diagnostic tools, assorted automotive tools Sortimo: Zusmarshausen, Germany: Sortimo: in-vehicle equipment, storage system for parts and tools Stanley Black & Decker: Connecticut, US
Apache Hive. Apache Hive is a data warehouse software project. It is built on top of Apache Hadoop for providing data query and analysis. [ 3][ 4] Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. Traditional SQL queries must be implemented in the MapReduce Java API to ...
In computing, online analytical processing, or OLAP ( / ˈoʊlæp / ), is an approach to quickly answer multi-dimensional analytical (MDA) queries. [ 1] The term OLAP was created as a slight modification of the traditional database term online transaction processing (OLTP). [ 2] OLAP is part of the broader category of business intelligence ...
Change data capture. In databases, change data capture ( CDC) is a set of software design patterns used to determine and track the data that has changed (the "deltas") so that action can be taken using the changed data. The result is a delta-driven dataset . CDC is an approach to data integration that is based on the identification, capture and ...
Data warehouse automation ( DWA) refers to the process of accelerating and automating the data warehouse development cycles, while assuring quality and consistency. DWA is believed to provide automation of the entire lifecycle of a data warehouse, from source system analysis to testing to documentation. It helps improve productivity, reduce ...
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