Introduction to data pipelines in 2 minutes:<\/p>\n
For analytics, AI products lots of data is needed – commonly dubbed as Big data<\/p>\n
To get the data needed, and in a usable format – we need to pass it through a lot of different data processing stages, a collection of which can be called data pipeline.<\/p>\n
Data pipelines have 3 main stages:
\n– Ingestion: Gather data from various sources in different formats
\n– Data hub & warehouse – Cleanse, model data at different stages
\n– Analytics – Run analytics or use specific data sets for machine learning algorithms<\/p>\n
Join me at TestBash New Zealand Online 2020 where I’ll talk about a lot more around testing in big data projects!<\/p>\n<\/div>![](\"http:\/\/quality-spectrum.com\/wp-content\/uploads\/2020\/10\/QsDataPipelines-e1603809721800.png\" "\\"QsDataPipelines\\"")
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