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Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like dataengineering and data science became the gold miners bringing new methods to collect, process, and store data.
An overview of data warehouse types. Optionally, you may study some basic terminology on dataengineering or watch our short video on the topic: What is dataengineering. What is data pipeline. So let’s analyze OLAP workflow in such architecture. Data extraction. Building a cube.
Mark Huselid and Dana Minbaeva in BigData and HRM call these measures the understanding of the workforce quality. Dataengineer builds interfaces and infrastructure to enable access to data. So, dataengineers make data pipelines work. Tools for data integration.
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