Data lakes and data warehouses are widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose. The two types of data storage are often confused but are much more different than they are alike. The only real similarity between them is their high-level purpose of storing data. The distinction is important because they serve different purposes and require different eyes to be properly optimized. Thus, while a data lake works for one company, a data warehouse will better fit another.




The right and the freedom of Choice
The only freedom we have is the freedom of choice. Everyone can choose whatever he wants. The rest of the materialistic world is an illusion.
How not to step on happiness and satisfaction
what makes a person happy, and why does he feel satisfied? Can we feel happy without being more or less permanently satisfied?



 smart cities, space, science, technology, quantumgovernmenteconomicsSDGcitizens, healthcare, education, properties, transportation, infrastructure, municipal services, energy, climate, events, art, games, architecture, startups, influencers, brands, pioneerswellbeing, innovator's dictionary, history, design, academy