Databases comprise the foundation of most software systems. System developers inevitably write code to query these databases. The de facto language for querying is SQL and this, consequently, is the default language taught by higher education institutions. There is evidence that learners find it hard to master SQL, harder than mastering other programming languages such as Java. Educators do not...

We theoretically investigate estimation of the control parameter in a ferromagnetic Bose-Einstein condensate near second order quantum phase transitions. quantify sensitivity by and classical Fisher information using error-propagation formula. For these different metrics, we find same, beyond-standard-quantum-limit (SQL) scaling with atom number critical points, SQL away from points. that both ...

Die Datenbankanfragesprache SQL hat sich zum Standardinstrument bei der Arbeit mit relationalen Datenbanken etabliert. Durch die weitreichende Standardisierung, v.a. im Rahmen von SQL-92 und SQL:1999, wurde eine sichere Basis gelegt, die von den meisten kommerziellen sowie freien Datenbankverwaltungssystemen (DBVS) als Anfrageschnittstelle unterstützt wird. Hinsichtlich der Umsetzung der Standa...

A novel approach based on applying a modern metaheuristic called Gene Expression Programming (GEP) to detecting web application attacks is presented in the paper. This class of attacks relates to malicious activity of an intruder against applications, which use a database for storing data. The application uses SQL to retrieve data from the database and web server mechanisms to put them in a web...

Most of the FIMI implementations are memory-like. However when we deal with data warehouse the size of datasets are extremely huge for memory copy. However, using a pure SQL-like approach is inefficient, even almost implementations rarely take advantages of SQL-Extensions such as SQL-Cursors, Store Procedures and UDF functions. Furthermore, RDBMS vendors offer a lot of SQL-Extensions for taking...

There is a need to integrate SQL processing with more advanced machine learning (ML) analytics to drive actionable insights from large volumes of data. As a first step towards this integration, we study how to efficiently connect big SQL systems (either MPP databases or new-generation SQL-on-Hadoop systems) with distributed big ML systems. We identify two important challenges to address in the ...