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How to use fuzzy matching in Power Query to clean up Excel data
Merge lists even with typos and inconsistent names. Tune the similarity threshold, use a transform table, and audit results ...
The ability to write parts of SQL queries in natural language will help developers speed up their work, analysts say. Google is previewing a new AI-driven feature in its BigQuery data warehouse that ...
What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?
Organizations are using generative AI to stay ahead of the competition, but the real advantage lies in harnessing the power of your own data securely and at scale. One of the most exciting new ...
Hello there! ๐ I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
Hello there! ๐ I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...
These examples demonstrates all data types and PL/SQL Connector Builders used by PL/SQL Enterprise Workbench. All examples contain a normal executable main Java program and a JUnit test case. These ...
Existing index tuners typically rely on the โwhat ifโ API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...
Abstract: The query tuning, which is mostly found in the syntax semantics of fuzzy logic inference algorithms, uses the query syntax of the boolean data type. Fuzzy logic inference is converted using ...
Abstract: Formulating database queries in terms of SQL is often a challenge for journalists, business administrators, and the growing number of non-database experts that are required to access and ...
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