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This IBM RedguideTM publication looks back on the key decisions that made the data lake successful and looks forward to the future. It proposes that the metadata management and governance approaches developed for the data lake can be adopted more broadly to increase the value that an organization gets from its data. Delivering this broader vision, however, requires a new generation of data catalogs and governance tools built on open standards that are adopted by a multi-vendor ecosystem of data platforms and tools. Work is already underway to define and deliver this capability, and there are multiple ways to engage. This guide covers the reasons why this new capability is critical for modern businesses and how you can get value from it.
This book provides a comprehensive view of research in lens developmental biology, emphasising technical and molecular breakthroughs. Elucidation of the mechanisms that govern lens development has enabled us to understand how the normal lens forms and how developmental processes are involved in the maintenance of its normal structure, function and growth throughout life. This knowledge is fundamental to our understanding of many lens disorders. The ocular lens has also become a model for understanding the developmental biology of more complex organ systems. In this 2004 book, leading experts in lens cell biology and development discuss lens evolution, induction, morphology, the regulation of the lens cell cycle and fiber cell differentiation, as well as lens regeneration. This book is an authoritative treatment of the subject that will serve as a reference for graduate students and research scientists in developmental biology and in the visual sciences, as well as for ophthalmologists.
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Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software architectures can solve the challenges imposed by building big data software systems. The challenges of big data on the software architecture can relate to scale, security, integrity, performance, concurrency, parallelism, and dependability, amongst others. Big data handling requires rethinking architectural solutions to meet functional and non-functional requirements related to volume, variety and velocity. The book's editors have varied and complementary backgrounds in requirements and architecture, specifically in software architectures for cloud and big data,...
This book provides insights into how to be a productive clinical researcher via real-life case examples of successful clinical research -- and also clinical research gone awry. Through these examples of success and failure, the book develops a blueprint for building a career in clinical research. Future medical practice depends on the quality of the clinical trials to which drugs, devices, and treatment procedures are subjected today. However, clinical trials are not easy to do, and many physicians and health care providers who attempt clinical research struggle in this endeavor, primarily because of lack of instruction. Clinical Research aims to fill the gap between training and research through case studies of a long-time clinical researcher’s rich and varied experiences.