Future of data integration: 2022 and beyond

Traditional methods including manual creation of scripts, scrubbing the data, and later loading it into a data warehouse or ETL, (extract-transform-load) was used to integrate data from different sources. These methods were adopted in the era of resource constraints and have now become very time-intensive, expensive, and error-prone, says Yash Mehta, an IoT and big

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