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003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cnu|||||||| 
008    120820s2020    xx      o     000 0 eng   
019    1302275428 
024 8  9780738459028 
029 0  AU@|b000067830083 
035    (OCoLC)1192526752|z(OCoLC)1302275428 
040    AU@|beng|epn|cAU@|dUAB|dOCLCO|dOCLCF|dLVT|dOCLCO|dOCLCQ
       |dOCLCO|dOCLCL 
049    INap 
099    eBook O'Reilly for Public Libraries 
100 1  Dain, Joseph,|eauthor. 
245 10 Cataloging Unstructured Data in IBM Watson Knowledge 
       Catalog with IBM Spectrum Discover /|cDain, Joseph.
       |h[O'Reilly electronic resource] 
250    1st edition. 
264  1 |bIBM Redbooks,|c2020. 
300    1 online resource (108 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
520    This IBM® Redpaper publication explains how IBM Spectrum® 
       Discover integrates with the IBM Watson® Knowledge Catalog
       (WKC) component of IBM Cloud® Pak for Data (IBM CP4D) to 
       make the enriched catalog content in IBM Spectrum Discover
       along with the associated data available in WKC and IBM 
       CP4D. From an end-to-end IBM solution point of view, IBM 
       CP4D and WKC provide state-of-the-art data governance, 
       collaboration, and artificial intelligence (AI) and 
       analytics tools, and IBM Spectrum Discover complements 
       these features by adding support for unstructured data on 
       large-scale file and object storage systems on premises 
       and in the cloud. Many organizations face challenges to 
       manage unstructured data. Some challenges that companies 
       face include: Pinpointing and activating relevant data for
       large-scale analytics, machine learning (ML) and deep 
       learning (DL) workloads. Lacking the fine-grained 
       visibility that is needed to map data to business 
       priorities. Removing redundant, obsolete, and trivial 
       (ROT) data and identifying data that can be moved to a 
       lower-cost storage tier. Identifying and classifying 
       sensitive data as it relates to various compliance 
       mandates, such as the General Data Privacy Regulation 
       (GDPR), Payment Card Industry Data Security Standards (PCI
       -DSS), and the Health Information Portability and 
       Accountability Act (HIPAA). This paper describes how IBM 
       Spectrum Discover provides seamless integration of data in
       IBM Storage with IBM Watson Knowledge Catalog (WKC). 
       Features include: Event-based cataloging and tagging of 
       unstructured data across the enterprise. Automatically 
       inspecting and classifying over 1000 unstructured data 
       types, including genomics and imaging specific file 
       formats. Automatically registering assets with WKC based 
       on IBM Spectrum Discover search and filter criteria, and 
       by using assets in IBM CP4D. Enforcing data governance 
       policies in WKC in IBM CP4D based on insights from IBM 
       Spectrum Discover, and using assets in IBM CP4D. Several 
       in-depth use cases are used that show examples of 
       healthcare, life sciences, and financial services. IBM 
       Spectrum Discover integration with WKC enables storage 
       administrators, data stewards, and data scientists to 
       efficiently manage, classify, and gain insights from 
       massive amounts of data. The integration improves storage 
       economics, helps mitigate risk, and accelerates large-
       scale analytics to create competitive advantage and speed 
       critical research. 
542    |fCopyright 2020 © IBM|g2020 
550    Made available through: Safari, an O'Reilly Media Company.
588    Online resource; Title from title page (viewed August 11, 
       2020) 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
650  0 Database management. 
650  0 IBM computers. 
650  0 Information retrieval|xComputer programs. 
650  0 Information storage and retrieval systems. 
650  2 Information Systems 
650  6 Bases de données|xGestion. 
650  6 IBM (Ordinateurs) 
650  6 Systèmes d'information. 
650  7 Database management|2fast 
650  7 IBM computers|2fast 
650  7 Information retrieval|xComputer programs|2fast 
650  7 Information storage and retrieval systems|2fast 
700 1  Selim, Abeer,|eauthor. 
700 1  Patil, Anil,|eauthor. 
700 1  Vollmar, Christopher,|eauthor. 
700 1  De Rezende, Flavio,|eauthor. 
700 1  Greco, Frank,|eauthor. 
700 1  Lee, Frank,|eauthor. 
700 1  Crawford, Isom,|eauthor. 
700 1  Bozhinov, Ivaylo,|eauthor. 
700 1  Wong, Joanna,|eauthor. 
700 1  Blumert, Joshua,|eauthor. 
700 1  Coyne, Larry,|eauthor. 
710 2  Safari, an O'Reilly Media Company. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9780738459028/?ar
       |zAvailable on O'Reilly for Public Libraries 
936    BATCHLOAD 
994    92|bJFN