DataCommandr Engine is a C# library for data integration, transformation and analysis. DataCommandr is intended for defining (potentially highly complicated) data mashups, that is, new data that is derived from the input data by applying various transformations. In this sense, it pursues the same
... [More] goal as conventional query languages (like SQL) and data processing frameworks (like MapReduce). The unique distinguishing feature is that DataCommander uses a novel column-oriented approach where new data columns are defined in terms of other data columns. It is opposed to most other languages and frameworks where new data tables are defined in terms of other data tables. In particular, it is an alternative to such conventional approaches as SQL-like languages and MapReduce [Less]
DataCommandr is a self-service tool created with a single mission: radically simplifying and democratizing all kinds of operations with data. By making data manipulations easier for non-IT users, DataCommandr dramatically shortens the total time for data integration, transformation and analysis.
... [More] Data in DataCommandr is represented as tables and columns which are two main objects of the application. A table is a collection of data records. A column represents a property (also referred to as an attribute or field). Every element in the mash up - table or column - has some definition in terms of already existing elements. And the task of the user is to create appropriate definitions for tables and columns. [Less]
Bistro is a general purpose, light-weight data processing engine which changes the way data is being processed. It is going to be as simple as a spreadsheet and as powerful as SQL. At its core, it relies on a novel column-oriented data representation and processing engine which is unique in that its
... [More] logic is described as a DAG of column operations as opposed to table operations in most other frameworks. Computations in Bistro are performed by evaluating columns which have custom definitions in terms of other columns. [Less]
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