Data Sharing Using a Common Data Architecture Wouldn’t it be a pleasure to know and understand all the data in your organization? Wouldn’t it be great to easily identify and readily share those data to develop information that supports business strategies? Wouldn’t it be wonderful to have a formal data resource that provides just-in-time data for developing just-in-time information to support just-in-time decision making? Data Sharing Using a Common Data Architecture shows you how by: Defining a common data architecture, its contents, and its uses Refining data to a common data architecture Discussing disparate data, its structure, quality, and how to identify it Describing how Data Sharing Reality is achieved Focusing on the importance of people and creating a win-win situation Providing a data lexicon and extensive glossary Data Sharing Using a Common Data Architecture is must reading for data administrators, database administrators, MIS project leaders, application programmers, systems analysts, MIS trainers and instructors, and graduate students.
In Producing Predators, Michael D. Wise argues that contestations between Native and non-Native people over hunting, labor, and the livestock industry drove the development of predator eradication programs in Montana and Alberta from the 1880s onward. The history of these anti-predator programs was significant not only for their ecological effects, but also for their enduring cultural legacies of colonialism in the Northern Rockies. By targeting wolves and other wild carnivores for extermination, cattle ranchers disavowed the predatory labor of raising domestic animals for slaughter, representing it instead as productive work. Meanwhile, federal agencies sought to purge the Blackfoot, Salish-Kootenai, and other indigenous peoples of their so-called predatory behaviors through campaigns of assimilation and citizenship that forcefully privatized tribal land and criminalized hunting and its related ritual practices. Despite these colonial pressures, Native communities resisted and negotiated the terms of their dispossession by representing their own patterns of work, food, and livelihood as productive. By exploring predation and production as fluid cultural logics for valuing labor, rather than just a set of biological processes, Producing Predators offers a new perspective on the history of the American West and the modern history of colonialism more broadly.
First, She Seduced Them. . . Sheila LaBarre liked to troll the personal ads and homeless shelters, looking for men whom society had rejected for one reason or another--men she could easily dominate both verbally and sexually. One by one, she invited them to her remote New Hampshire farmhouse, where she engaged them in S&M. But over time, sex gave way to brutal acts of torture as she mercilessly flogged and beat her captives until they confessed to committing unspeakable acts. Once satisfied that they had paid for their sins, Sheila savagely slaughtered them and burned their remains on her farm. . . Then, Humiliated, Tortured, And Killed Them. . . From the disturbing audiotapes Sheila made of her victims' confessions to her own bizarre statements in which she claimed to have returned from the dead to be God's avenger, The Burn Farm takes you behind the scenes of the scandal that rocked a quiet New England town, and into the twisted, depraved mind of a manipulative, cold-blooded murderer. . . Includes 16 Pages of Shocking Photos
Data Sharing Using a Common Data Architecture Wouldn’t it be a pleasure to know and understand all the data in your organization? Wouldn’t it be great to easily identify and readily share those data to develop information that supports business strategies? Wouldn’t it be wonderful to have a formal data resource that provides just-in-time data for developing just-in-time information to support just-in-time decision making? Data Sharing Using a Common Data Architecture shows you how by: Defining a common data architecture, its contents, and its uses Refining data to a common data architecture Discussing disparate data, its structure, quality, and how to identify it Describing how Data Sharing Reality is achieved Focusing on the importance of people and creating a win-win situation Providing a data lexicon and extensive glossary Data Sharing Using a Common Data Architecture is must reading for data administrators, database administrators, MIS project leaders, application programmers, systems analysts, MIS trainers and instructors, and graduate students.
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