SAS software for data preparation and data quality enables data transformation, self-service data integration and data enrichment for clean, reliable data.
In this video, you learn how to use procedures to perform data transformation tasks - namely, variable imputation and variable binning. These two tasks form an important part of the modeling process. Learn about SAS Training - SAS Viya path ...
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Introduction to SAS® Data Loader: The Power of Data Transformation in HadoopOrganizations are loading data onto Hadoop platforms at an extraordinary rate. However, in order toextract value from these platforms, the data must be prepared for analytic exploitation. As the volume of data grows, ...
Additionally, the digital transformation of businesses and the growing demand for real-time risk assessment and monitoring present significant growth opportunities for market players. However, the shortage of skilled professionals and increasing concerns about data privacy and protection are some of the ...
The Armchair Quarterback: Writing SAS® Code for the Perfect Pivot (Table, That Is) Paper 137-2013: Mario Widel, Roche Molecular Systems ; Sandra Minjoe, Octagon Research Solutions Adding New Rows in the ADaM Basic Data Structure: When and How Paper 138-2013: Marje Fecht, Prowerk Consulti...
SAS Viya integrates visual analytics, statistical analysis, and data science into a comprehensive self-service analytics platform for enterprises. It boasts a standardized code base and supports programming languages such as R, Python, SAS, Java, and Lua, ensuring flexibility and interoperability across...
Utilizing SAS to Dynamically Generate Clinical Trial Data Transformation ProgramsWe illustrate a technique, using SAS(R), to convert programming specification text into a set of uniformly formatted SAS programs used to perform a clinical database transformation. The method begins by reading an Excel ...
If you're looking to switch data analytics tooling - now is the time. R and Shiny are rising in popularity as data science teams see more value in R programming.
Data Transformation: Build data warehouses, data marts, and BI and analytic data stores by pulling data from multiple sources. Extract required data with more than 300 out-of-the-box SQL-based transforms. Reuse transform functions in different projects and environments through custom exits, message...