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Build vs Buy Data Pipeline Guide

Monte Carlo

Data ingestion When we think about the flow of data in a pipeline, data ingestion is where the data first enters our platform. There are two primary types of raw data. At Uber, for example, data ingestion scale quickly surpassed what out-of-the-box solutions could support.

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Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability

DataKitchen

In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers. There are multiple locations where problems can happen in a data and analytic system. What is Data in Use?