As a data engineer and machine learning enthusiast, Egor is always seeking innovative ways to explore the limits of what can be achieved. Having extensive domain knowledge in graph machine learning and database internals, Egor is dedicated to staying on top of emerging technologies. With his expertise aimed at helping organizations unlock the true potential of their data, quality and resilient data architecture are always present in the end product.
Introduction to Data Quality
We’ve all heard the phrase “garbage in, garbage out” which highlights the importance of quality data for data-driven systems. Here, quality data can be interpreted in two ways: firstly as clean and well-standardized data that meets expectations, and secondly, as...
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