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Top 10 Database Scaling Techniques You Should Know:
1. ๐๐ง๐๐๐ฑ๐ข๐ง๐ : Create indexes on frequently queried columns to speed up data retrieval.
2. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐๐ฅ๐ข๐ง๐ : Upgrade your database server by adding more CPU, RAM, or storage to handle increased load.
3. ๐๐๐๐ก๐ข๐ง๐ : Store frequently accessed data in-memory (e.g., Redis, Memcached) to reduce database load and improve response time.
4. ๐๐ก๐๐ซ๐๐ข๐ง๐ : Distribute data across multiple servers by splitting the database into smaller, independent shards, allowing for horizontal scaling and improved performance.
5. ๐๐๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง: Create multiple copies (replicas) of the database across different servers, enabling read queries to be distributed across replicas and improving availability.
6. ๐๐ฎ๐๐ซ๐ฒ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Fine-tune SQL queries, eliminate expensive operations, and leverage indexes effectively to improve execution speed and reduce database load.
7. ๐๐จ๐ง๐ง๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐จ๐ฅ๐ข๐ง๐ : Reduce the overhead of opening/closing database connections by reusing existing ones, improving performance under heavy traffic.
8. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐ซ๐ญ๐ข๐ญ๐ข๐จ๐ง๐ข๐ง๐ : Split large tables into smaller, more manageable parts (partitions), each containing a subset of the columns/features from the original table.
9. ๐๐๐ง๐จ๐ซ๐ฆ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Store data in a redundant but structured format to minimize complex joins and speed up read-heavy workloads.
10. ๐๐๐ญ๐๐ซ๐ข๐๐ฅ๐ข๐ณ๐๐ ๐๐ข๐๐ฐ๐ฌ: Pre-compute and store results of complex queries as separate tables to avoid expensive recalculation, reducing database load and improving response times.
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1. ๐๐ง๐๐๐ฑ๐ข๐ง๐ : Create indexes on frequently queried columns to speed up data retrieval.
2. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐๐ฅ๐ข๐ง๐ : Upgrade your database server by adding more CPU, RAM, or storage to handle increased load.
3. ๐๐๐๐ก๐ข๐ง๐ : Store frequently accessed data in-memory (e.g., Redis, Memcached) to reduce database load and improve response time.
4. ๐๐ก๐๐ซ๐๐ข๐ง๐ : Distribute data across multiple servers by splitting the database into smaller, independent shards, allowing for horizontal scaling and improved performance.
5. ๐๐๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง: Create multiple copies (replicas) of the database across different servers, enabling read queries to be distributed across replicas and improving availability.
6. ๐๐ฎ๐๐ซ๐ฒ ๐๐ฉ๐ญ๐ข๐ฆ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Fine-tune SQL queries, eliminate expensive operations, and leverage indexes effectively to improve execution speed and reduce database load.
7. ๐๐จ๐ง๐ง๐๐๐ญ๐ข๐จ๐ง ๐๐จ๐จ๐ฅ๐ข๐ง๐ : Reduce the overhead of opening/closing database connections by reusing existing ones, improving performance under heavy traffic.
8. ๐๐๐ซ๐ญ๐ข๐๐๐ฅ ๐๐๐ซ๐ญ๐ข๐ญ๐ข๐จ๐ง๐ข๐ง๐ : Split large tables into smaller, more manageable parts (partitions), each containing a subset of the columns/features from the original table.
9. ๐๐๐ง๐จ๐ซ๐ฆ๐๐ฅ๐ข๐ณ๐๐ญ๐ข๐จ๐ง: Store data in a redundant but structured format to minimize complex joins and speed up read-heavy workloads.
10. ๐๐๐ญ๐๐ซ๐ข๐๐ฅ๐ข๐ณ๐๐ ๐๐ข๐๐ฐ๐ฌ: Pre-compute and store results of complex queries as separate tables to avoid expensive recalculation, reducing database load and improving response times.
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๐ Watchers: 24
๐ด Forks: 235
๐ป Programming Languages: TypeScript
๐ท๏ธ Related Topics:
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๐ง By: https://t.iss.one/DataScienceM
๐ Description: Self-hosted AI accounting app. LLM analyzer for receipts, invoices, transactions with custom prompts and categories
๐ Repository URL: https://github.com/vas3k/TaxHacker
๐ Website: https://taxhacker.app
๐ Readme: https://github.com/vas3k/TaxHacker#readme
๐ Statistics:
๐ Stars:
๐ Watchers: 24
๐ด Forks: 235
๐ป Programming Languages: TypeScript
๐ท๏ธ Related Topics:
#invoices #accounting #self_hosted #expenses #taxes #currency_exchange #llm #llm_apps #ai_analysis
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๐ง By: https://t.iss.one/DataScienceM
โค1
๐ฅ Trending Repository: TradingAgents
๐ Description: TradingAgents: Multi-Agents LLM Financial Trading Framework
๐ Repository URL: https://github.com/TauricResearch/TradingAgents
๐ Website: https://arxiv.org/pdf/2412.20138
๐ Readme: https://github.com/TauricResearch/TradingAgents#readme
๐ Statistics:
๐ Stars: 33.5k
๐ Watchers: 339
๐ด Forks: 6.5k
๐ป Programming Languages: Python
๐ท๏ธ Related Topics:
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๐ง By: https://t.iss.one/DataScienceM
๐ Description: TradingAgents: Multi-Agents LLM Financial Trading Framework
๐ Repository URL: https://github.com/TauricResearch/TradingAgents
๐ Website: https://arxiv.org/pdf/2412.20138
๐ Readme: https://github.com/TauricResearch/TradingAgents#readme
๐ Statistics:
๐ Stars: 33.5k
๐ Watchers: 339
๐ด Forks: 6.5k
๐ป Programming Languages: Python
๐ท๏ธ Related Topics:
#agent #finance #trading #multiagent #llm
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๐ง By: https://t.iss.one/DataScienceM
โค1