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Query by Example (QBE) is a database query language for relational databases. It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL . [ 1 ] It is the first graphical query language, using visual tables where the user would enter commands, example elements and conditions.
A trivial example involves serving static data. It would take very little effort to have many processing units produce the same set of bits. Indeed, the famous Hello World problem could easily be parallelized with few programming considerations or computational costs. Some examples of embarrassingly parallel problems include: Monte Carlo ...
Oracle cloning is the re-use of the once-constructed random oracle within the same proof (this in practice corresponds to the multiple uses of the same cryptographic hash within one algorithm for different purposes). [7] Oracle cloning with improper domain separation breaks security proofs and can lead to successful attacks. [8]
ArangoDB is a transactional native multi-model database supporting two major NoSQL data models (graph and document [1]) with one query language. Written in C++ and optimized for in-memory computing. In addition ArangoDB integrated RocksDB for persistent storage. ArangoDB supports Java, JavaScript, Python, PHP, NodeJS, C++ and Elixir.
A parallel database system seeks to improve performance through parallelization of various operations, such as loading data, building indexes and evaluating queries. [1] Although data may be stored in a distributed fashion, the distribution is governed solely by performance considerations. Parallel databases improve processing and input/output ...
While operationally deployed systems exist, like Oracle GeoRaster, PostGIS 2.0 and rasdaman, there are still many open research questions, including query language design and formalization, query optimization, parallelization and distributed processing, and scalability issues in general. Besides, scientific communities still appear reluctant in ...
Parallel execution results in a speedup of 4 over sequential execution. One important thing to note is that the locality of data references plays an important part in evaluating the performance of a data parallel programming model. Locality of data depends on the memory accesses performed by the program as well as the size of the cache.
For example, local autonomy, synchronous, and asynchronous distributed database technologies. The implementation of these technologies can and do depend on the needs of the business and the sensitivity/ confidentiality of the data stored in the database and the price the business is willing to spend on ensuring data security , consistency and ...