Data teams are facing more challenges than ever. As applications generate and consume unprecedented volumes of data across a growing number of sources and formats, data engineering and architecture teams must design systems that not only scale but also deliver real-time access and insights. However, the complexity isn’t just technical—business expectations have grown, putting additional pressure on data teams to enable faster decision-making and drive tangible value.
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