The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

Query optimisation in distributed database systems addresses the challenge of selecting an efficient execution plan across multiple networked nodes. Owing to the combinatorial explosion of possible ...

Data intensive applications that rely heavily on huge databases waste a lot of time in searching and retrieval especially if there is a single server retrieving data from the database. This paper ...

Microsoft announced the general availability of SQL Server 2019 and SQL Server Big Data Clusters at its Ignite conference on Monday. SQL Server 2019 builds on intelligent query processing features ...

PostgreSQL with the pgvector extension allows tables to be used as storage for vectors, each of which is saved as a row. It also allows any number of metadata columns to be added. In an enterprise ...

Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

To survive in today's ultra-competitive business environment, companies have to be adaptable and be able to move quickly with the ever-changing market conditions. It's not enough to simply have a good ...