منابع مشابه
Structural indexing for accelerated join-processing in relational databases
An increasing amount of data is generated and stored every day. This phenomenon called ‘Big Data’ requires innovative solutions for data storage and query processing. In contrast with the large amount of data being stored in databases, the retrieved information is often small and may be derived from a fraction of the data. Retrieving valuable information from a large collection of data can be l...
متن کاملStructural indexing for accelerated join-processing in relational databases
An increasing amount of data is generated and stored every day. This phenomenon called ‘Big Data’ requires innovative solutions for data storage and query processing. In contrast with the large amount of data being stored in databases, the retrieved information is often small and may be derived from a fraction of the data. Retrieving valuable information from a large collection of data can be l...
متن کاملStructural indexing for accelerated join-processing in relational databases
An increasing amount of data is generated and stored every day. This phenomenon called ‘Big Data’ requires innovative solutions for data storage and query processing. In contrast with the large amount of data being stored in databases, the retrieved information is often small and may be derived from a fraction of the data. Retrieving valuable information from a large collection of data can be l...
متن کاملStructural indexing for accelerated join-processing in relational databases
An increasing amount of data is generated and stored every day. This phenomenon called ‘Big Data’ requires innovative solutions for data storage and query processing. In contrast with the large amount of data being stored in databases, the retrieved information is often small and may be derived from a fraction of the data. Retrieving valuable information from a large collection of data can be l...
متن کاملStructural indexing for accelerated join-processing in relational databases
An increasing amount of data is generated and stored every day. This phenomenon called ‘Big Data’ requires innovative solutions for data storage and query processing. In contrast with the large amount of data being stored in databases, the retrieved information is often small and may be derived from a fraction of the data. Retrieving valuable information from a large collection of data can be l...
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ژورنال
عنوان ژورنال: ACM Computing Surveys
سال: 1992
ISSN: 0360-0300,1557-7341
DOI: 10.1145/128762.128764