As I described here, Power BI can send SQL queries in parallel in DirectQuery mode and you can see from the Timeline column there is some parallelism happening here – the last two SQL queries ...

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 ...

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In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

The mini project centers around optimizing an existing PySpark script (original_optimize.py). The script performs a query that retrieves the number of answers per question per month. The original ...

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?

Since the development of the first database management systems (DBMSs) over five decades ago, DBMSs have become the foundation of modern data-intensive applications. However, deploying and maintaining ...

Existing index tuners typically rely on the “what if” 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: With the rapid development of big data technology, big data systems are more and more used to process SQL query jobs. However, intricate big data system parameters have big effects on the ...

Determining the degree of parallelism (DOP) for query execution is of great importance to both performance and resource provisioning. However, recent work that applies machine learning (ML) to query ...