You’ve heard about the conversation, now continue the dialogue with these SAS & TDWI e-books.
Maintaining data quality has always been a top issue for enterprises, but with changing data needs and business environments—including big data, unstructured data, and data governance—it’s never been more challenging.
This TDWI E-Book examines the top data quality issues faced by organizations; advice for aligning data quality best practices among IT and business user groups to ensure shared ownership; and a list of the top 10 techniques, team structures, tool types, methods, and other characteristics that are desirable for a fully modern, next-generation data quality solution.
This SAS E-Book explores Hadoop, an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers enormous processing power and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. In this white paper, Mark Troester of SAS describes key ways SAS supports Hadoop from within the familiar SAS environment – merging the power of SAS Analytics with the power of Hadoop data storage and processing.