A Domain Specific Language For Processing Ad Hoc Data
Proceedings of the 2005 acm sigplan conference on programming language design and implementation pads.
A domain specific language for processing ad hoc data. A domain specific language for processing ad hoc data. With the introduction of mapreduce many frameworks have been developed that either implement mapreduce or provide additional functionalities useful in a larger domain. Bibliographic details on pads. With these languages the programmer specifies the structure of an ad hoc data format using a simple declarative specification and the compiler generates an in memory representation for the data.
A domain specific language for processing ad hoc data. A domain specific language for processing ad hoc data. Ad hoc data from at t name use representation size data dependent 1gigabit second number of fixed width binary records. Pads is a declarative data description language that allows data analysts to describe both the physical layout of ad hoc data sources and semantic properties of that data.
A domain specific language for processing ad hoc data. Large scale distributed data processing has gained significant momentum in research in the past decade. This is called domain specific language which is used for storing extracting or retrieving and transforming data in relational databases. A domain speciļ¬c language for processing ad hoc data talk based on paper by kathleen fisher1 robert gruber2 1at t labs research 2google november 10 2005 jan voung ucsd pads november 10 2005 1 24.
Incredible amounts of data stored in well behaved formats. The structured query language is used to deal with large amounts of data. A domain specific language for processing ad hoc data.