Data Engineering is the practice of designing, building, and maintaining data systems that collect, store, and process data at scale. It involves building pipelines to transform raw data into usable formats for analysis, reporting, and machine learning. Common uses include building data warehouses, data lakes, and real-time data processing systems.
Whether you're looking to get your foot in the door, find the right person to talk to, or close the deal — accurate, detailed, trustworthy, and timely information about the organization you're selling to is invaluable.
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