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Practical SQL for Data Analysis
Pandas is a very popular tool for data analysis. It comes built-in with many useful features, it's battle tested and widely accepted. However, pandas is not always the best tool for the job. SQL databases have been around since the 1970s. Some of the smartest people in the world worked on making it easy to slice, dice, fetch and manipulate data quickly and efficiently. SQL databases have come such
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SQLå¦ç¿’モãƒãƒ™ã‚’爆上ã’ã™ã‚‹ã€ŒSQLテスト制度ã€ã‚’å°Žå…¥ã—ã¦ã„る話 - AppBrew Tech Blog
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ウェブãƒã‚°ã‹ã‚‰SQLã§æŒ‡æ¨™ã‚’計算ã™ã‚‹8構文～GA4ã®BigQueryã‚’é¡Œæ㫠– marketechlabo
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Some SQL Tricks of an Application DBA
When I started my career in development, my first job was a DBA. Back then, before AWS RDS, Azure, Google Cloud and the rest of them cloud services, there were two types of DBAs: The Infrastructure DBA was in charge of setting up the database, configuring the storage and taking care of backups and replication. After setting up the database, the infrastructure DBA would pop up from time to time and
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GitHub - plotly/falcon: Free, open-source SQL client for Windows and Mac 🦅
Falcon is a free, open-source SQL editor with inline data visualization. It currently supports connecting to RedShift, MySQL, PostgreSQL, IBM DB2, Impala, MS SQL, Oracle, SQLite and more (for connecting to Oracle, please, see here the instructions to install the required free Oracle Instant Client). Heads up! Falcon is open source and works without an internet connection or a Plotly Chart Studio a
SQL Tutorial
グループåˆåŒã®æ–°å’ç ”ä¿®ã§è¡Œã£ãŸ SQL 入門å‘ã‘ã®è§£èª¬ + ワークショップã§ã™ã€‚ 基本的ãªéƒ¨åˆ†ã®è§£èª¬ã®ã¿ã§ã€ä¸€éƒ¨è§¦ã‚Œã¦ã„ãªã„構文もã”ã–ã„ã¾ã™ã€‚ ã”了承ãã ã•ã„。 KKK: ä¾¡æ ¼, TNK: å˜ä¾¡, MST: マスタ, IDX: インデックス # URL HomePage: https…
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