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Data Lakes Vs. Data Warehouse: Its significance and relevance in the data world

Pickl AI

Data Lakes embrace raw, unstructured data, while Data Warehouses focus on processed, organized information. Data Lake Example Data Lakes serve as versatile repositories for a wide range of raw and unstructured data, providing organizations with the flexibility to derive valuable insights.

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Top 15 Data Analytics Projects in 2023 for beginners to Experienced

Pickl AI

Web and App Analytics Projects: These projects involve analyzing website and app data to understand user behaviour, improve user experience, and optimize conversion rates. Kaggle datasets) and use Python’s Pandas library to perform data cleaning, data wrangling, and exploratory data analysis (EDA).