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Bio Data Format Student




Materialized Views: Techniques, Implementations, and Applications by Ashish Gupta,

Materialized Views: Techniques, Implementations, and Applications by Ashish Gupta,
When an application is built, an underlying data model is chosen to make that application effective. Frequently, other applications need the same data, only modeled differently. The naive solution of copying the underlying data and modeling is costly in terms of storage and makes data maintenance and evolution impossible. View mechanisms are a technique to model data differently for various applications without affecting the underlying format and structure of the data. The technique enables applications to customize shared data objects without affecting other applications that use the same objects. The growing data-manipulation needs of companies cannot be met by existing legacy systems that contain valuable data. Thus view mechanisms are becoming increasingly important as a way to model and use legacy data in new applications. Materialized views are views that have been computed and stored in databases. Because they reduce the need to recompute the view and/or data being queried, they speed up the querying of large amounts of data. Further, because they provide a systematic way to describe how to recompute the data, maintenance and evolution can be automated. Materialized views are especially useful in data warehousing, query optimization, integrity constraint maintenance, online analytical processing, and applications such as billing, banking, and retailing. This comprehensive volume, with a foreword by Jeff Ullman of Stanford University, will serve as a reference for students and commercial users, and encourage further use and development of materialized views.



NMR Data Processing by Jeffrey C. Hoch,
NMR Data Processing by Jeffrey C. Hoch,
NMR DATA PROCESSING Jeffrey C. Hoch and Alan S. Stern Nuclear Magnetic Resonance (NMR) spectroscopy is a powerful nondestructive technique for exploring the structure of matter. In recent years, NMR instrumentation has become increasingly sophisticated, and the software used to acquire and process NMR data continues to expand in scope and complexity. This software has always been difficult to understand, and, until now, it seemed likely to remain that way. NMR Data Processing examines and explains the techniques used to process, present, and analyze NMR data. It provides a complete account of the fundamentals of spectrum analysis and establishes a framework for applying those fundamentals to real NMR data. It also details, in clear and concise language, the basic principles underlying the complex software needed to analyze the data. Two chapters are devoted to the fundamentals and applications of discrete Fourier transform (DFT) in NMR, which was crucial to the development of modern NMR spectroscopy. A large part of the book focuses on increasingly important non-DFT methods, which obtain higher sensitivity and resolution. Other topics covered include: Data formats Processing for multidimensional experiments Parametric modeling of NMR signals Standard techniques apodization, zero-filling, the Hilbert transform Artifacts aliasing, leakage, solvent signals Advanced processing techniques LP, MaxEnt, Bayesian analysis Jeffrey C. Hoch and Alan S. Stern conclude their in-depth look at this rapidly growing field by exploring methods for analyzing processed data, including visualization, quantification, and error analysis. Readers are provided with a solidfoundation for developing new methods of their own. NMR Data Processing is an important tool for students learning basic principles for the first time, technicians troubleshooting data processing problems, and professional researchers developing new techniques.



LDAP Data Interchange Format - The LDAP Data Interchange Format (LDIF) is a data interchange format for exporting data from and importing data to LDAP servers. It conveys directory information or a description of a set of changes made to directory entries.

General Data Format for Biomedical Signals - The General Data Format for Biomedical Signals is a scientific and medical data file format. It was designed to address deficiencies in formats such as EDF.

Hierarchical Data Format - Hierarchical Data Format, commonly abbreviated HDF or HDF4, is a library and multi-object file format for the transfer of graphical and numerical data between computers created and maintained by the NCSA. The freely available HDF distribution consists of the library, command-line utilities, test suite source, Java interface, and the Java-based HDF Viewer (HDFView).

Disk Data Format - The SNIA Common RAID Disk Data Format defines a standard data structure describing how data is formatted across disks in a RAID group. The DDF structure allows a basic level of interoperability between different suppliers of RAID technology.



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