Top 10 Common Data Engineers and Scientists Pain Points in 2024

As we navigate through 2024, the landscape of data engineering and science continues to evolve at a breakneck pace. With advancements in AI technology come new challenges, and professionals in these fields are grappling with a unique set of challenges. Nowadays, the integration of AI and machine learning models into applications requires real-time data processing. Let's explore the top 10 challenges that data engineers and scientists face in their workflow with the integration of real-time data.

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