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코드 따라하기 ↗Introduction to DuckDB SQL
Mehdi, a data engineer and developer advocate, introduces you to DuckDB SQL. You'll learn about the use cases, the changes to SQL syntax to make data analysis easier (no more SELECT *!), and how to include DuckDB in your analytics workflow.
Mehdi Ouazza
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Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.관련
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DuckDB makes SQL a first-class citizen on DataLab
In this blog post, we list out all recent improvements that make it seamless and efficient to query data with SQL, all without leaving the tool.
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An Introduction to DuckDB: What is It and Why Should You Use It?
Explore DuckDB, the fast, easy-to-use analytics database for Python and R. Learn its key features, use cases, and how it optimizes data analysis tasks.
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SQL is more than 50 years old, but the language is still evolving, and DuckDB is one of the most innovative databases for analytics. It's an important tool for any data analyst, data scientist, or data engineer. It's also used in DataCamp DataLab for working with CSV files (a key task in our Data Analyst, Data Scientist, and Data Engineer professional certifications).
In this session, Mehdi, a data engineer and developer advocate, introduces you to DuckDB SQL. You'll learn about the use cases, the changes to SQL syntax to make data analysis easier (no more SELECT *!), and how to include DuckDB in your analytics workflow.
Key Takeaways:
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