<ul><li>Inefficient database performance can lead to user wait times and loss of customers, prompting businesses to invest heavily in optimization.</li><li>Database management systems market grew from $46 billion in 2018 to $103.2 billion in 2023, reflecting the importance of database efficiency.</li><li>Challenges in working with large databases include unoptimized structures, insufficient resources, poor data quality, scaling issues, and query bottlenecks.</li><li>Optimizing queries, improving architecture, and scaling can address database issues unless the wrong type of database is chosen.</li><li>Choosing a database tailored to the data type and system needs is crucial for optimal performance, e.g., relational databases, NoSQL databases, or time series databases.</li><li>Maintaining stable data processing speed involves optimizing queries, balancing indexing, planning for scalability, and monitoring performance.</li><li>Continuous architecture improvement, query optimization, and readiness for scaling are key for efficient systems handling billions of records.</li></ul>

How to Speed up Your Database so Your Business Doesn't Lose Money

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