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001 978-1-4842-9711-7
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007 cr nn 008mamaa
008 230907s2023 xxu| s |||| 0|eng d
020 _a9781484297117
_9978-1-4842-9711-7
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
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.
300 _aXXIV, 254 p. 92 illus., 88 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
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
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