Querying (Computer science) - Congresses.

Biomedical data management and graph online queryingVLDB 2015 Workshops, Big-O(Q) and DMAH, Waikoloa, HI, USA, August 31 - September 4, 2015 : revised selected papers / by: (Electronic resources)

Beginning SQL QueriesFrom Novice to Professional / by: (Electronic resources)

Data management and analytics for medicine and healthcaresecond International Workshop, DMAH 2016, Held at VLDB 2016, New Delhi, India, September 9, 2016 : revised selected papers / by: (Electronic resources)

Data analysis using SQL and Excel by: (Electronic resources)

Data management and analytics for medicine and healthcarethird International Workshop, DMAH 2017, held at VLDB 2017, Munich, Germany, September 1, 2017 : proceedings / by: (Electronic resources)

Preference query analysis and optimization by: (Electronic resources)

MariaDB and MySQL common table Expressions and Window functions revealed by: (Electronic resources)

Querying a web of linked datafoundations and query execution / by: (Electronic resources)

Managing data from knowledge basesquerying and extraction / by: (Electronic resources)

SQL Server 2017 query performance tuningtroubleshoot and optimize query performance / by: (Electronic resources)

Data mining in time series and streaming databases by: (Electronic resources)

Query processing over graph-structured data on the web by: (Electronic resources)

Query store for SQL Server 2019identify and fix poorly performing queries / by: (Electronic resources)

MySQL 8 query performance tuninga systematic method for improving execution speeds / by: (Electronic resources)

Relevant query answering over streaming and distributed dataa study for RDF streams and evolving web data / by: (Electronic resources)

Query understanding for search engines by: (Electronic resources)

PostgreSQL query optimizationthe ultimate guide to building efficient queries / by: (Electronic resources)

Beginning jOOQlearn to write efficient and effective Java-based SQL database operations / by: (Electronic resources)

Process querying methods by: (Electronic resources)

Mastering Snowflake solutionssupporting analytics and data sharing / by: (Electronic resources)

SQL server 2022 Query performance tuningtroubleshoot and optimize Query performance / by: (Electronic resources)