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数据集成的未来之路:dbt(data build tool)概述 - 知乎
dbt作为当前备受瞩目的大数据领域工具之一,主要致力于解决ELT中的T(ransform)环节挑战。 其核心思想在于将软件工程的核心概念应用于数据处理和分析领域,引入了模块化和可重用的开发方式,从而提升了数据转换的可…
What exactly is dbt and how does it work? - dbt Labs
2017年10月16日 · dbt is the T in ELT. It doesn't extract or load data, but it's extremely good at transforming data that's already loaded into your warehouse. This "transform after load" architecture is becoming known as ELT (extract, load, transform). ELT has become commonplace because of the power of modern analytic databases.
从零开始的 dbt 入门教程 (dbt-core 基础篇) - 知乎专栏
DBT(Data Build Tools)是一种数据转换工作流工具,作为数据开发师,我们需要将原始数据进行各类加工以及聚合来应对更为复杂的数据分析需求。 准确来说,dbt 就是一个辅助你写各类数据查询 sql 的数据转换工具。 你可能会想,如果只是写 sql 那我为什么还需要使用 dbt 呢。 事实上,由于数据库种类繁多,不同数据库对于 sql 语句都会存在兼容问题;除此之外,数据转换会存在数据依赖,比如底层原始数据层层转变为业务数据,你可能需要自己来维护这个依赖关系,你也许 …
Data build tool - Wikipedia
Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a warehouse. Dbt has the goal of allowing analysts to work more like software engineers, in …
What is dbt? - dbt Labs
dbt is the industry standard for data transformation. Transform raw data into analysis-ready insights, and make data-driven decisions with confidence. Why dbt? dbt allows your team to prepare data for analysis in a way that’s centralized, modular, and entirely open — all inside your cloud data platform.
介绍dbt,ETL和ELT Disrupter - CSDN博客
2024年10月21日 · dbt将数据仓库中的ETL(Extract, Transform, Load)过程转变为ELT(Extract, Load, Transform)。这意味着原始数据首先被提取并加载到数据仓库,然后使用dbt进行转换。dbt通过编写SQL模型来实现这一点,这些模型定义...
Create a modern data platform using the Data Build Tool (dbt) in …
2023年11月9日 · dbt is an open-source command line tool that enables data analysts and engineers to transform data in their warehouses more effectively. It does this by helping teams handle the T in ETL (extract, transform, and load) processes.
有了 ETL 数据神器 dbt,表数据秒变 NebulaGraph 中的图数据
2023年2月9日 · 确定了初始的建模之后,就可以利用 ETL 工具把原始的数据清洗、ETL 成点、边类型的表结构,最后,利用导入工具导入 NebulaGraph。 借助于 dbt,我们可以版本控制、测试、迭代建模与数据转换,一点点进化、丰富构建的知识图谱。
Efficient data modelling with DBT and ETL data pipeline
2022年12月12日 · In this two-part miniseries I’d like to explain some theory behind ETL and ELT data processing techniques, why companies choose to go with DBT, before I walk you through a use case where CloverDX plays vital role to curate data before self-serve reporting in …
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