000 | 04318nam a22005295i 4500 | ||
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001 | 978-1-4842-9711-7 | ||
003 | DE-He213 | ||
005 | 20240508091357.0 | ||
007 | cr nn 008mamaa | ||
008 | 230907s2023 xxu| s |||| 0|eng d | ||
020 |
_a9781484297117 _9978-1-4842-9711-7 |
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024 | 7 |
_a10.1007/978-1-4842-9711-7 _2doi |
|
050 | 4 | _aQA76.9.D3 | |
072 | 7 |
_aUN _2bicssc |
|
072 | 7 |
_aCOM021000 _2bisacsh |
|
072 | 7 |
_aUN _2thema |
|
082 | 0 | 4 |
_a005.74 _223 |
100 | 1 |
_aMendes, Felipe Cardeneti. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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245 | 1 | 0 |
_aDatabase Performance at Scale _h[electronic resource] : _bA Practical Guide / _cby Felipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov, Cynthia Dunlop. |
250 | _a1st ed. 2023. | ||
264 | 1 |
_aBerkeley, CA : _bApress : _bImprint: Apress, _c2023. |
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300 |
_aXXIV, 254 p. 92 illus., 88 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _a1: A Taste of What You’re Up Against: Two Tales -- 2: Your Project, Through the Lens of Database Performance -- 3: Database Internals: Hardware and Operating System Interactions -- 4: Database Internals: Algorithmic Optimizations -- 5: Database Drivers -- 6: Getting Data Closer -- 7: Infrastructure and Deployment Model -- 8: Topology Considerations -- 9: Benchmarking -- 10: Monitoring -- 11: Administration -- Appendix: A Brief Look at Fundamental Database Design Decisions. | |
506 | 0 | _aOpen Access | |
520 | _aDiscover critical considerations and best practices for improving database performance based on what has worked, and failed, across thousands of teams and use cases in the field. This open access book provides practical guidance for understanding the database-related opportunities, trade-offs, and traps you might encounter while trying to optimize data-intensive applications for high throughput and low latency. Whether you are building a new system from the ground up or trying to optimize an existing use case for increased demand, this book covers the essentials. The book begins with a look at the many factors impacting database performance at the extreme scale that today’s game changing applications face—or at least hope to achieve. You’ll gain insight into the performance impact of both technical and business requirements, and how those should influence your decisions around database infrastructure and topology. The authors share an inside perspective on often-overlooked engineering details that could be constraining—or helping—your team’s database performance. The book also covers benchmarking and monitoring practices by which to measure and validate the outcomes from the decisions that you make. The ultimate goal of the book is to help you discover new ways to optimize database performance for your team’s specific use cases, requirements, and expectations. What You Will Learn Understand often overlooked factors that impact database performance at scale Recognize data-related performance and scalability challenges associated with your project Select a database architecture that’s suited to your workloads, use cases, and requirements Avoid common mistakes that could impede your long-term agility and growth Jumpstart teamwide adoption of best practices for optimizing database performance at scale. | ||
650 | 0 | _aDatabase management. | |
650 | 0 | _aOpen source software. | |
650 | 1 | 4 | _aDatabase Management. |
650 | 2 | 4 | _aOpen Source. |
700 | 1 |
_aSarna, Piotr. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
700 | 1 |
_aEmelyanov, Pavel. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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700 | 1 |
_aDunlop, Cynthia. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9781484297100 |
776 | 0 | 8 |
_iPrinted edition: _z9781484297124 |
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-1-4842-9711-7 |
912 | _aZDB-2-CWD | ||
912 | _aZDB-2-SXPC | ||
912 | _aZDB-2-SOB | ||
999 |
_c37791 _d37791 |