The 2014 release of Microsoft's SQL Server Integration Services provides enhancements for managing extraction, transformation, and load operations, plus expanded in-memory capabilities, improved disaster recovery, increased scalability, and much more. The increased...

For more than twenty years, serious C programmers have relied on one book for practical, in-depth knowledge of the programming interfaces that drive the UNIX and Linux kernels: W. Richard Stevens’ Advanced Programming in the UNIX® Environment . Now, once again, Rich’s colleague Steve...

The software development community widely acknowledges that domain modeling is central to software design. Through domain modeling, software developers are able to express rich functionality and translate that functionality into software implementation that truly serves the needs of its users. Despite its obvious importance,...

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...

The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R and data...

Organizations are now competing in two markets, one for their products and services and one for the talent required to produce or perform them. Success in the former is determined by success in the latter. The ability to compete is directly related to the ability to attract, develop, motivate, organize, and retain the...