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 ...

Abstract: The growing volume of performance-critical parameters in distributed storage systems, coupled with diverse and dynamic workload patterns, has significantly increased the complexity of system ...

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 ...

Abstract: In recent years, the integration of natural language processing (NLP) with database querying has led to the emergence of Text-to-SQL systems, which enable nontechnical users to interact with ...

I am executing a performance benchmarking for Apache AGE by using goodreads dataset. I've found a significant performance gap between a direct SQL query and its AGE/Cypher equivalent, specifically ...

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 ...