<ul><li>Startups often overlook the importance of data and databases when planning tech strategies.</li><li>Optimizing data involves techniques like indexing, normalization, query optimization, and partitioning.</li><li>Proper planning for data can be sacrificed for rapid growth in the startup environment.</li><li>Understanding database types like SQL and NoSQL is crucial for effective data management.</li><li>Designing data structures with future functionalities in mind ensures scalability and ease of integration.</li><li>Stressing databases with heavy loads and testing data retrieval efficiency is essential for optimal performance.</li><li>Data protection measures, such as backups, access restrictions, limiting human writes, and monitoring, are vital.</li><li>Keeping data clean by avoiding soft deletes, archiving least retrieved data, and optimizing storage is key to efficiency.</li><li>Data is often the most crucial yet overlooked aspect of software development, impacting overall system performance.</li><li>Adhering to principles like choosing the right database, optimizing queries and I/O, and maintaining data integrity is essential.</li></ul>

Proper mindset for handling data and databases: between scaling and failing

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