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Given the variety of data sources (e.g. databases, business applications) that provide data and formats that data can arrive in, data preparation can be quite involved and complex. There are many tools and technologies [5] that are used for data preparation. The cost of cleaning the data should always be balanced against the value of the ...
In 1997, Data Desk was released for Windows, and included a General Linear Model (GLM), multivariate statistics, and nonlinear curve fitting. DD/XL is an add-in for Microsoft Excel that adds Data Desk Functionality directly to the Spreadsheet. Data Desk's developer, Data Description, pioneered linked graphic displays including a 3-D rotating ...
Semantic data mining is a subset of data mining that specifically seeks to incorporate domain knowledge, such as formal semantics, into the data mining process.Domain knowledge is the knowledge of the environment the data was processed in. Domain knowledge can have a positive influence on many aspects of data mining, such as filtering out redundant or inconsistent data during the preprocessing ...
Monarch can also import data from OLE DB/ODBC data sources, spreadsheets and desktop databases. Users define models that describe the layout of data in the report file, and the software parses the data into a tabular format. The parsed data can be further enhanced with links to external data sources, filters, sorts, calculated fields and summaries.
Ploticus – software for generating a variety of graphs from raw data; PSPP – A free software alternative to IBM SPSS Statistics; R – free implementation of the S (programming language) Programming with Big Data in R (pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis; R Commander – GUI interface for R
Excel can accept data in real-time through several programming interfaces, which allow it to communicate with many data sources such as Bloomberg and Reuters (through addins such as Power Plus Pro). DDE: "Dynamic Data Exchange" uses the message passing mechanism in Windows to allow data to flow between Excel and other applications.
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]
Trifacta – a data preparation and analysis platform; Paxata – self-service data preparation software; Alteryx – data blending and advanced data analytics software; Microsoft Power BI - interactive visualization and data analysis tool; OpenRefine - a standalone open source desktop application for data clean-up and data transformation