Shweta Shetty


Case studies/white papers for technology companies

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Fundamentals of data engineering—Life-cycle, best practices, and emerging trends

In today's data-driven environment, businesses continuously face the challenge of harnessing and interpreting vast amounts of information. Data engineering is a crucial intersection of technology and business intelligence and plays a critical role in everything from data science to machine learning and artificial intelligence.

So, what makes data engineering indispensable? In a nutshell: its ability to convert raw data into actionable insights.

With the explosion of data sources – from website