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Many argue that Data Engineering is a part of data science and analytics. It's different from data science, but they work together closely. Data Engineers come first in the process. They gather and organize data. This data is then used by Data Scien

In my blog, I explore the evolving landscape of data engineering, highlighting key trends and innovations shaping the field. The rise of cloud data engineering is revolutionizing data storage and processing, offering scalability, cost efficiency, and

"Synthetic Data" is used in AI and LLM training !! • cheap • easy to produce • perfectly labelled data ~ derived from the real world data to replicate the properties and characteristics of the rela world data. It's used in training an LLM (LLMs

What's Your Opinion On Data based startup❓ Intro: See In the current era of AI, To make AI model lots of data is required and so how about building a startup based on data provider, data servers, or anything related data. What could possibly be it's

What are the Top 3 Data Analytics Security Threats? Rising incidents of data breaches have put a big question mark on data safety. Added to these, there is the issue of poor Data quality and more. The blog here highlights major data analytics securi

📊 Data Moat: The secret weapon of tech giants! ⚡ Google, Amazon and Netflix harness vast amounts of data to personalize experiences, optimize services and dominate their industries. 🚀💡 Knowledge is power and these companies have plenty of it! 🔥

Byju’s dramatic downfall has sent shockwaves across the edtech industry. Once the poster child of Indian edtech, its collapse has forced the entire sector into a moment of reckoning. Vedantu is treading cautiously, prioritising survival over scale. U

Unlock the potential of your data with our latest insights! 🌟 Dive into "Unlocking the Power of SQL: 7 Advanced Techniques for Data Manipulation in Data Science." Enhance your skills and elevate your projects with these expert strategies. Discover m