LEADER 05647nam 2200733 a 450 001 9911019873903321 005 20200520144314.0 010 $a9786610739578 010 $a9781280739576 010 $a1280739576 010 $a9780470028728 010 $a0470028726 010 $a9780470028711 010 $a0470028718 035 $a(CKB)1000000000357346 035 $a(EBL)284443 035 $a(OCoLC)476034452 035 $a(SSID)ssj0000134996 035 $a(PQKBManifestationID)11146464 035 $a(PQKBTitleCode)TC0000134996 035 $a(PQKBWorkID)10056855 035 $a(PQKB)11396094 035 $a(MiAaPQ)EBC284443 035 $a(Perlego)2756883 035 $a(EXLCZ)991000000000357346 100 $a20060927d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aData lifecycles $emanaging data for strategic advantage /$fRoger Reid, Gareth Fraser-King, W. David Schwaderer 210 $aChichester, England ;$aHoboken, NJ $cWiley$dc2007 215 $a1 online resource (270 p.) 300 $aDescription based upon print version of record. 311 08$a9780470016336 311 08$a0470016337 320 $aIncludes bibliographical references and index. 327 $aData Lifecycles; Contents; Preface; 1 Introducing Utility Computing; 1.1 Real problems and real solutions; 1.1.1 Real issues identified - regulation, legislation and the law; 1.1.2 More regulation, legislation and the law; 1.1.3 Current storage growth; 1.2 New storage management; 1.2.1 What are the things organisations need to consider?; 1.2.2 What does data lifecycle management mean?; 1.2.3 Why is IT lifecycle management important?; 1.2.4 Goals of data lifecycle management; 2 The Changing IT Imperative; 2.1 Introduction to utility computing; 2.2 General market highlights 327 $a2.2.1 Current storage growth2.2.2 Enterprises for which DLM is critical; 2.3 Real challenges and opportunities; 2.3.1 Real issues identified; 2.3.2 Data compliance; 2.3.3 Case study in ineffective storage reporting; 2.4 Summary; 3 Being Compliant; 3.1 So what are the regulations?; 3.2 Financial services companies; 3.2.1 Crime in the finance sector; 3.3 Telecommunications companies; 3.4 Utilities companies; 3.5 Public authorities and government; 3.6 Managing data for compliance is just a specialised form of data management; 3.7 Just plain junk data!; 3.8 The bottom line - what is mandated? 327 $a3.8.1 Record retention and retrieval3.8.2 Auditable process; 3.8.3 Reporting in real time; 3.8.4 Integrating data management from desktop to data centre to offsite vault; 3.8.5 Challenge - the data dilemma; 4 Data Taxonomy; 4.1 A new data management consciousness level; 4.1.1 De-mystifying data classification; 4.1.2 Defining data classification; 4.1.3 Classification objectives; 4.1.4 Various approaches to data classification; 4.2 Data personification; 4.2.1 Business infrastructure mapping analysis; 4.3 Classification model and framework; 4.4 Customer reporting; 4.4.1 Summary reports 327 $a4.4.2 Detailed reports4.4.3 Summary graphs; 4.5 Summary; 5 Email Retention; 5.1 Email management to achieve compliance; 5.2 What is archiving?; 5.2.1 Email archiving requirements; 5.3 How should organisations manage their email records?; 5.4 Email retention policies are for life - not just for Christmas; 5.5 How companies can gain competitive advantage using compliance; 5.5.1 Compliance makes good business sense; 5.6 What laws govern email retention?; 5.6.1 How long do we have to keep email records?; 5.7 Write once, secure against tampering; 5.8 Storage recommendations for email 327 $a5.9 Conclusion6 Security; 6.1 Alerting organisations to threats; 6.1.1 Vulnerability identified and early warnings; 6.1.2 Early awareness of vulnerabilities and threats in the wild; 6.1.3 Listening posts; 6.2 Protecting data and IT systems; 6.2.1 Threats blocked using vulnerability signatures to prevent propagation; 6.2.2 Preventing and detecting attacks; 6.2.3 Managing security in a data centre; 6.2.4 Monitoring and identification of systems versus vulnerabilities and policies; 6.2.5 Responding to threats and replicating across the infrastructure 327 $a6.2.6 Patches and updates implemented across infrastructure 330 $aBusinesses now rely almost entirely on applications and databases, causing data and storage needs to increase at astounding rates. It is therefore imperative for a company to optimize and simplify the complexity of managing its data resources. Plenty of storage products are now available, however the challenge remains for companies to proactively manage their storage assets and align the resources to the various departments, divisions, geographical locations and business processes to achieve improved efficiency and profitability. Data Lifecycles identifies ways to incorporate 606 $aDatabase management 606 $aProduct life cycle 606 $aInformation retrieval 606 $aInformation storage and retrieval systems$xManagement 615 0$aDatabase management. 615 0$aProduct life cycle. 615 0$aInformation retrieval. 615 0$aInformation storage and retrieval systems$xManagement. 676 $a005.74 700 $aReid$b Roger$g(Roger S.)$01841059 701 $aFraser-King$b Gareth$01841060 701 $aSchwaderer$b W. David$f1947-$01841061 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019873903321 996 $aData lifecycles$94420666 997 $aUNINA