Data infrastructure management: insights and strategies
Cover -- Half title -- Title -- Copyright -- Contents -- Preface -- Who Should Read This Book -- How This Book Is Organized -- Acknowledgments -- About the Author -- Part One Applications, Data, and IT Data Infrastructures -- Chapter 1 IT Data Infrastructure Fundamentals -- 1.1 Getting Started -- 1....
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Milton
Auerbach Publications
2019
|
| Ausgabe: | 1st Edition |
| Schlagworte: | |
| Online-Zugang: | UER01 URL des Erstveröffentlichers |
| Zusammenfassung: | Cover -- Half title -- Title -- Copyright -- Contents -- Preface -- Who Should Read This Book -- How This Book Is Organized -- Acknowledgments -- About the Author -- Part One Applications, Data, and IT Data Infrastructures -- Chapter 1 IT Data Infrastructure Fundamentals -- 1.1 Getting Started -- 1.2 What's the Buzz in and around IT Data Infrastructures? -- 1.2.1 Data Infrastructures-How Server Storage I/O Resources Are Used -- 1.2.2 Why Data Infrastructures Are Important (Demand Drivers) -- 1.2.3 Data Value -- 1.3 Data Infrastructures Past, Present, and Future -- 1.3.1 Where Are We Today? (Balancing Legacy with Emerging) -- 1.3.2 Where Are We Going? (Planning, Lessons Learned) -- 1.4 Data Infrastructure Management Tradecraft -- 1.5 Data Infrastructure Terminology (Context Matters) -- 1.6 Common Questions and Tips -- 1.7 Strategies -- 1.8 Chapter Summary -- Chapter 2 Application and IT Environments -- 2.1 Getting Started -- 2.1.1 Context for the Chapter -- 2.2 Everything Is Not the Same with Data Infrastructures -- 2.2.1 Various Types of Environments (Big and Small) -- 2.2.2 Gaining Data and Application Insight -- 2.2.3 Various Types of Applications -- 2.2.4 Various Types of Data -- 2.6 Common Questions and Tips -- 2.7 Chapter Summary -- 2.3 Common Applications Characteristics -- 2.3.1 Performance and Activity (How Resources Get Used) -- 2.3.2 Availability (Accessibility, Durability, Consistency) -- 2.3.3 Capacity and Space (What Gets Consumed and Occupied) -- 2.3.4 Economics (People, Budgets, Energy, and Other Constraints) -- 2.4 Where Applications and Data Get Processed and Reside -- 2.5 Application Data and Data Infrastructure Strategies -- Part Two Data Infrastructure Management -- Chapter 3 Data Infrastructure Management -- What You Will Learn in This Chapter -- 3.1 Getting Started -- 3.2 Data Infrastructure Management and Tools 3.3 Data Infrastructure Habitats and Facilities -- 3.4 Data Infrastructure Management -- 3.5 Troubleshooting, Problem Solving, Remediation, and Repairs -- 3.6 Common Questions and Tips -- 3.7 Chapter Summary -- Chapter 4 Data Infrastructure Availability, Data Protection, Security, and Strategy -- What You Will Learn in This Chapter -- 4.1 Getting Started -- 4.2 Data Protection Fundamentals -- 4.3 Availability, Data Protection, and Security -- 4.4 Availability (Resiliency and Data Protection) Services -- 4.5 Revisiting 4 3 2 1-The Golden Rule of Data Protection -- 4.6 Availability, FTT, and FTM Fundamentals -- 4.7 Common Availability Characteristics and Functionalities -- 4.8 Enabling Availability, Resiliency, Accessibility, and RTO -- 4.9 Reliability, Availability, and Serviceability (RAS) -- 4.10 Enabling RPO (Archive, Backup, CDP, Snapshots, Versions) -- 4.11 Point-in-Time Protection for Different Points of Interest -- 4.12 Snapshots, Consistency, and Checkpoints -- 4.13 Data Infrastructure Security (Logical and Physical) -- 4.13.1 Data Infrastructure Security Implementation -- 4.13.2 Physical Security and Facilities -- 4.13.3 Logical and Software-Defined Security -- 4.13.4 Encryption Codes and Key Management -- 4.13.5 Identity Access Management and Control -- 4.13.6 General Data Infrastructure Security-Related Topics -- 4.14 Common Questions and Tips -- 4.15 Chapter Summary -- Chapter 5 Data Infrastructure Metrics and Management -- What You Will Learn in This Chapter -- 5.1 Getting Started -- 5.2 Avoid Flying Blind-Having Situational Awareness -- 5.2.1 Metrics That Matter (and Where to Get Them) -- 5.3 Data Infrastructure Decision Making -- 5.3.1 Comparing Data Infrastructure Components and Services -- 5.3.2 Analysis, Benchmark, Comparison, Simulation, and Tests -- 5.4 Data Infrastructure, Strategy, and Design Considerations 5.5 Common Questions and Tips -- 5.6 Chapter Summary -- Part Three Enabling Data Infrastructures -- Chapter 6 Data Infrastructure Deployment Considerations: Part I -- What You Will Learn in This Chapter -- 6.1 Getting Started -- 6.2 Applications, Tips, and Learning Experiences -- 6.3 Software-Defined, Virtual, Containers, and Clouds -- 6.3.1 Clouds: Public, Private, and Hybrid -- 6.3.2 Public Cloud Services -- 6.3.3 Private and Hybrid Cloud Solutions -- 6.4 Docker, Containers, and Microservices -- 6.5 Workspace and Virtual Desktop Infrastructure -- 6.6 Data Infrastructure Migration -- 6.7 Common Questions and Tips -- 6.8 Chapter Summary -- Chapter 7 Data Infrastructure Deployment Considerations: Part II -- What You Will Learn in This Chapter -- 7.1 Getting Started -- 7.2 Microsoft Azure, Hyper-V, Windows, and Other Tools -- 7.3 VMware vSphere, vSAN, NSX, and Cloud Foundation -- 7.4 Data Databases: Little Data SQL and NoSQL -- 7.5 Big Data, Data Ponds, Pools, and Bulk-Content Data Stores -- 7.6 Legacy vs. Converged vs. Hyper-Converged vs. Cloud and Containers -- 7.7 Common Questions and Tips -- 7.8 Chapter Summary -- Chapter 8 Data Infrastructure Futures, Wrap-up, and Summary -- What You Will Learn in This Chapter -- 8.1 Getting Started on the Wrap-up -- 8.2 People, Process, and Best Practices -- 8.2.1 Skills Development -- 8.3 Emerging Topics, Trends, and Predictions -- 8.4 Chapter and Book Summary -- Appendix A: Companion Websites and Where to Learn More -- Glossary -- Index |
| Beschreibung: | 1 Online-Ressource |
| ISBN: | 9780429264955 |
| DOI: | 10.1201/9780429264955 |
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| 520 | 3 | |a Cover -- Half title -- Title -- Copyright -- Contents -- Preface -- Who Should Read This Book -- How This Book Is Organized -- Acknowledgments -- About the Author -- Part One Applications, Data, and IT Data Infrastructures -- Chapter 1 IT Data Infrastructure Fundamentals -- 1.1 Getting Started -- 1.2 What's the Buzz in and around IT Data Infrastructures? -- 1.2.1 Data Infrastructures-How Server Storage I/O Resources Are Used -- 1.2.2 Why Data Infrastructures Are Important (Demand Drivers) -- 1.2.3 Data Value -- 1.3 Data Infrastructures Past, Present, and Future -- 1.3.1 Where Are We Today? (Balancing Legacy with Emerging) -- 1.3.2 Where Are We Going? (Planning, Lessons Learned) -- 1.4 Data Infrastructure Management Tradecraft -- 1.5 Data Infrastructure Terminology (Context Matters) -- 1.6 Common Questions and Tips -- 1.7 Strategies -- 1.8 Chapter Summary -- Chapter 2 Application and IT Environments -- 2.1 Getting Started -- 2.1.1 Context for the Chapter -- 2.2 Everything Is Not the Same with Data Infrastructures -- 2.2.1 Various Types of Environments (Big and Small) -- 2.2.2 Gaining Data and Application Insight -- 2.2.3 Various Types of Applications -- 2.2.4 Various Types of Data -- 2.6 Common Questions and Tips -- 2.7 Chapter Summary -- 2.3 Common Applications Characteristics -- 2.3.1 Performance and Activity (How Resources Get Used) -- 2.3.2 Availability (Accessibility, Durability, Consistency) -- 2.3.3 Capacity and Space (What Gets Consumed and Occupied) -- 2.3.4 Economics (People, Budgets, Energy, and Other Constraints) -- 2.4 Where Applications and Data Get Processed and Reside -- 2.5 Application Data and Data Infrastructure Strategies -- Part Two Data Infrastructure Management -- Chapter 3 Data Infrastructure Management -- What You Will Learn in This Chapter -- 3.1 Getting Started -- 3.2 Data Infrastructure Management and Tools | |
| 520 | 3 | |a 3.3 Data Infrastructure Habitats and Facilities -- 3.4 Data Infrastructure Management -- 3.5 Troubleshooting, Problem Solving, Remediation, and Repairs -- 3.6 Common Questions and Tips -- 3.7 Chapter Summary -- Chapter 4 Data Infrastructure Availability, Data Protection, Security, and Strategy -- What You Will Learn in This Chapter -- 4.1 Getting Started -- 4.2 Data Protection Fundamentals -- 4.3 Availability, Data Protection, and Security -- 4.4 Availability (Resiliency and Data Protection) Services -- 4.5 Revisiting 4 3 2 1-The Golden Rule of Data Protection -- 4.6 Availability, FTT, and FTM Fundamentals -- 4.7 Common Availability Characteristics and Functionalities -- 4.8 Enabling Availability, Resiliency, Accessibility, and RTO -- 4.9 Reliability, Availability, and Serviceability (RAS) -- 4.10 Enabling RPO (Archive, Backup, CDP, Snapshots, Versions) -- 4.11 Point-in-Time Protection for Different Points of Interest -- 4.12 Snapshots, Consistency, and Checkpoints -- 4.13 Data Infrastructure Security (Logical and Physical) -- 4.13.1 Data Infrastructure Security Implementation -- 4.13.2 Physical Security and Facilities -- 4.13.3 Logical and Software-Defined Security -- 4.13.4 Encryption Codes and Key Management -- 4.13.5 Identity Access Management and Control -- 4.13.6 General Data Infrastructure Security-Related Topics -- 4.14 Common Questions and Tips -- 4.15 Chapter Summary -- Chapter 5 Data Infrastructure Metrics and Management -- What You Will Learn in This Chapter -- 5.1 Getting Started -- 5.2 Avoid Flying Blind-Having Situational Awareness -- 5.2.1 Metrics That Matter (and Where to Get Them) -- 5.3 Data Infrastructure Decision Making -- 5.3.1 Comparing Data Infrastructure Components and Services -- 5.3.2 Analysis, Benchmark, Comparison, Simulation, and Tests -- 5.4 Data Infrastructure, Strategy, and Design Considerations | |
| 520 | 3 | |a 5.5 Common Questions and Tips -- 5.6 Chapter Summary -- Part Three Enabling Data Infrastructures -- Chapter 6 Data Infrastructure Deployment Considerations: Part I -- What You Will Learn in This Chapter -- 6.1 Getting Started -- 6.2 Applications, Tips, and Learning Experiences -- 6.3 Software-Defined, Virtual, Containers, and Clouds -- 6.3.1 Clouds: Public, Private, and Hybrid -- 6.3.2 Public Cloud Services -- 6.3.3 Private and Hybrid Cloud Solutions -- 6.4 Docker, Containers, and Microservices -- 6.5 Workspace and Virtual Desktop Infrastructure -- 6.6 Data Infrastructure Migration -- 6.7 Common Questions and Tips -- 6.8 Chapter Summary -- Chapter 7 Data Infrastructure Deployment Considerations: Part II -- What You Will Learn in This Chapter -- 7.1 Getting Started -- 7.2 Microsoft Azure, Hyper-V, Windows, and Other Tools -- 7.3 VMware vSphere, vSAN, NSX, and Cloud Foundation -- 7.4 Data Databases: Little Data SQL and NoSQL -- 7.5 Big Data, Data Ponds, Pools, and Bulk-Content Data Stores -- 7.6 Legacy vs. Converged vs. Hyper-Converged vs. Cloud and Containers -- 7.7 Common Questions and Tips -- 7.8 Chapter Summary -- Chapter 8 Data Infrastructure Futures, Wrap-up, and Summary -- What You Will Learn in This Chapter -- 8.1 Getting Started on the Wrap-up -- 8.2 People, Process, and Best Practices -- 8.2.1 Skills Development -- 8.3 Emerging Topics, Trends, and Predictions -- 8.4 Chapter and Book Summary -- Appendix A: Companion Websites and Where to Learn More -- Glossary -- Index | |
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Datensatz im Suchindex
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| author | Schulz, Greg |
| author_facet | Schulz, Greg |
| author_role | aut |
| author_sort | Schulz, Greg |
| author_variant | g s gs |
| building | Verbundindex |
| bvnumber | BV046161172 |
| collection | ZDB-7-TFC |
| ctrlnum | (OCoLC)1120145683 (DE-599)BVBBV046161172 |
| doi_str_mv | 10.1201/9780429264955 |
| edition | 1st Edition |
| format | Electronic eBook |
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| isbn | 9780429264955 |
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| spelling | Schulz, Greg Verfasser aut Data infrastructure management insights and strategies by Greg Schulz 1st Edition Milton Auerbach Publications 2019 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Cover -- Half title -- Title -- Copyright -- Contents -- Preface -- Who Should Read This Book -- How This Book Is Organized -- Acknowledgments -- About the Author -- Part One Applications, Data, and IT Data Infrastructures -- Chapter 1 IT Data Infrastructure Fundamentals -- 1.1 Getting Started -- 1.2 What's the Buzz in and around IT Data Infrastructures? -- 1.2.1 Data Infrastructures-How Server Storage I/O Resources Are Used -- 1.2.2 Why Data Infrastructures Are Important (Demand Drivers) -- 1.2.3 Data Value -- 1.3 Data Infrastructures Past, Present, and Future -- 1.3.1 Where Are We Today? (Balancing Legacy with Emerging) -- 1.3.2 Where Are We Going? (Planning, Lessons Learned) -- 1.4 Data Infrastructure Management Tradecraft -- 1.5 Data Infrastructure Terminology (Context Matters) -- 1.6 Common Questions and Tips -- 1.7 Strategies -- 1.8 Chapter Summary -- Chapter 2 Application and IT Environments -- 2.1 Getting Started -- 2.1.1 Context for the Chapter -- 2.2 Everything Is Not the Same with Data Infrastructures -- 2.2.1 Various Types of Environments (Big and Small) -- 2.2.2 Gaining Data and Application Insight -- 2.2.3 Various Types of Applications -- 2.2.4 Various Types of Data -- 2.6 Common Questions and Tips -- 2.7 Chapter Summary -- 2.3 Common Applications Characteristics -- 2.3.1 Performance and Activity (How Resources Get Used) -- 2.3.2 Availability (Accessibility, Durability, Consistency) -- 2.3.3 Capacity and Space (What Gets Consumed and Occupied) -- 2.3.4 Economics (People, Budgets, Energy, and Other Constraints) -- 2.4 Where Applications and Data Get Processed and Reside -- 2.5 Application Data and Data Infrastructure Strategies -- Part Two Data Infrastructure Management -- Chapter 3 Data Infrastructure Management -- What You Will Learn in This Chapter -- 3.1 Getting Started -- 3.2 Data Infrastructure Management and Tools 3.3 Data Infrastructure Habitats and Facilities -- 3.4 Data Infrastructure Management -- 3.5 Troubleshooting, Problem Solving, Remediation, and Repairs -- 3.6 Common Questions and Tips -- 3.7 Chapter Summary -- Chapter 4 Data Infrastructure Availability, Data Protection, Security, and Strategy -- What You Will Learn in This Chapter -- 4.1 Getting Started -- 4.2 Data Protection Fundamentals -- 4.3 Availability, Data Protection, and Security -- 4.4 Availability (Resiliency and Data Protection) Services -- 4.5 Revisiting 4 3 2 1-The Golden Rule of Data Protection -- 4.6 Availability, FTT, and FTM Fundamentals -- 4.7 Common Availability Characteristics and Functionalities -- 4.8 Enabling Availability, Resiliency, Accessibility, and RTO -- 4.9 Reliability, Availability, and Serviceability (RAS) -- 4.10 Enabling RPO (Archive, Backup, CDP, Snapshots, Versions) -- 4.11 Point-in-Time Protection for Different Points of Interest -- 4.12 Snapshots, Consistency, and Checkpoints -- 4.13 Data Infrastructure Security (Logical and Physical) -- 4.13.1 Data Infrastructure Security Implementation -- 4.13.2 Physical Security and Facilities -- 4.13.3 Logical and Software-Defined Security -- 4.13.4 Encryption Codes and Key Management -- 4.13.5 Identity Access Management and Control -- 4.13.6 General Data Infrastructure Security-Related Topics -- 4.14 Common Questions and Tips -- 4.15 Chapter Summary -- Chapter 5 Data Infrastructure Metrics and Management -- What You Will Learn in This Chapter -- 5.1 Getting Started -- 5.2 Avoid Flying Blind-Having Situational Awareness -- 5.2.1 Metrics That Matter (and Where to Get Them) -- 5.3 Data Infrastructure Decision Making -- 5.3.1 Comparing Data Infrastructure Components and Services -- 5.3.2 Analysis, Benchmark, Comparison, Simulation, and Tests -- 5.4 Data Infrastructure, Strategy, and Design Considerations 5.5 Common Questions and Tips -- 5.6 Chapter Summary -- Part Three Enabling Data Infrastructures -- Chapter 6 Data Infrastructure Deployment Considerations: Part I -- What You Will Learn in This Chapter -- 6.1 Getting Started -- 6.2 Applications, Tips, and Learning Experiences -- 6.3 Software-Defined, Virtual, Containers, and Clouds -- 6.3.1 Clouds: Public, Private, and Hybrid -- 6.3.2 Public Cloud Services -- 6.3.3 Private and Hybrid Cloud Solutions -- 6.4 Docker, Containers, and Microservices -- 6.5 Workspace and Virtual Desktop Infrastructure -- 6.6 Data Infrastructure Migration -- 6.7 Common Questions and Tips -- 6.8 Chapter Summary -- Chapter 7 Data Infrastructure Deployment Considerations: Part II -- What You Will Learn in This Chapter -- 7.1 Getting Started -- 7.2 Microsoft Azure, Hyper-V, Windows, and Other Tools -- 7.3 VMware vSphere, vSAN, NSX, and Cloud Foundation -- 7.4 Data Databases: Little Data SQL and NoSQL -- 7.5 Big Data, Data Ponds, Pools, and Bulk-Content Data Stores -- 7.6 Legacy vs. Converged vs. Hyper-Converged vs. Cloud and Containers -- 7.7 Common Questions and Tips -- 7.8 Chapter Summary -- Chapter 8 Data Infrastructure Futures, Wrap-up, and Summary -- What You Will Learn in This Chapter -- 8.1 Getting Started on the Wrap-up -- 8.2 People, Process, and Best Practices -- 8.2.1 Skills Development -- 8.3 Emerging Topics, Trends, and Predictions -- 8.4 Chapter and Book Summary -- Appendix A: Companion Websites and Where to Learn More -- Glossary -- Index Computerarchitektur (DE-588)4048717-9 gnd rswk-swf Computerarchitektur (DE-588)4048717-9 s 1\p DE-604 Erscheint auch als Druck-Ausgabe 9781138486423 https://doi.org/10.1201/9780429264955 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Schulz, Greg Data infrastructure management insights and strategies Computerarchitektur (DE-588)4048717-9 gnd |
| subject_GND | (DE-588)4048717-9 |
| title | Data infrastructure management insights and strategies |
| title_auth | Data infrastructure management insights and strategies |
| title_exact_search | Data infrastructure management insights and strategies |
| title_full | Data infrastructure management insights and strategies by Greg Schulz |
| title_fullStr | Data infrastructure management insights and strategies by Greg Schulz |
| title_full_unstemmed | Data infrastructure management insights and strategies by Greg Schulz |
| title_short | Data infrastructure management |
| title_sort | data infrastructure management insights and strategies |
| title_sub | insights and strategies |
| topic | Computerarchitektur (DE-588)4048717-9 gnd |
| topic_facet | Computerarchitektur |
| url | https://doi.org/10.1201/9780429264955 |
| work_keys_str_mv | AT schulzgreg datainfrastructuremanagementinsightsandstrategies |