001480681 000__ 04118cam\\22005057i\4500 001480681 001__ 1480681 001480681 003__ OCoLC 001480681 005__ 20231031003304.0 001480681 006__ m\\\\\o\\d\\\\\\\\ 001480681 007__ cr\cn\nnnunnun 001480681 008__ 230919s2023\\\\xxu\\\\\o\\\\\000\0\eng\d 001480681 019__ $$a1402834254$$a1403848911 001480681 020__ $$a9781484297117$$q(electronic bk.) 001480681 020__ $$a1484297113$$q(electronic bk.) 001480681 020__ $$z9781484297100 001480681 0247_ $$a10.1007/978-1-4842-9711-7$$2doi 001480681 035__ $$aSP(OCoLC)1398232138 001480681 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dSFB 001480681 049__ $$aISEA 001480681 050_4 $$aQA76.9.D32 001480681 08204 $$a005.74$$223/eng/20230919 001480681 1001_ $$aMendes, Felipe Cardeneti,$$eauthor. 001480681 24510 $$aDatabase performance at scale :$$ba practical guide /$$cFelipe Cardeneti Mendes, Piotr Sarna, Pavel Emelyanov, Cynthia Dunlop. 001480681 264_1 $$a[United States] :$$bApress,$$c2023. 001480681 300__ $$a1 online resource (xxiv, 254 pages) :$$billustrations (some color) 001480681 336__ $$atext$$btxt$$2rdacontent 001480681 337__ $$acomputer$$bc$$2rdamedia 001480681 338__ $$aonline resource$$bcr$$2rdacarrier 001480681 5050_ $$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. 001480681 5060_ $$aOpen access.$$5GW5XE 001480681 520__ $$aDiscover critical considerations and best practices for improving database performance based on what has worked, and failed, across thousands of teams and use cases in the field. This open access book provides practical guidance for understanding the database-related opportunities, trade-offs, and traps you might encounter while trying to optimize data-intensive applications for high throughput and low latency. Whether you are building a new system from the ground up or trying to optimize an existing use case for increased demand, this book covers the essentials. The book begins with a look at the many factors impacting database performance at the extreme scale that today's game changing applications face -- or at least hope to achieve. You'll gain insight into the performance impact of both technical and business requirements, and how those should influence your decisions around database infrastructure and topology. The authors share an inside perspective on often-overlooked engineering details that could be constraining -- or helping -- your team's database performance. The book also covers benchmarking and monitoring practices by which to measure and validate the outcomes from the decisions that you make. The ultimate goal of the book is to help you discover new ways to optimize database performance for your team’s specific use cases, requirements, and expectations. What You Will Learn Understand often overlooked factors that impact database performance at scale Recognize data-related performance and scalability challenges associated with your project Select a database architecture that’s suited to your workloads, use cases, and requirements Avoid common mistakes that could impede your long-term agility and growth Jumpstart teamwide adoption of best practices for optimizing database performance at scale. 001480681 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 19, 2023). 001480681 650_0 $$aDatabases.$$0(DLC)sh2016002790 001480681 655_0 $$aElectronic books. 001480681 7001_ $$aSarna, Piotr,$$eauthor. 001480681 7001_ $$aEmelyanov, Pavel,$$eauthor. 001480681 7001_ $$aDunlop, Cynthia,$$eauthor. 001480681 852__ $$bebk 001480681 85640 $$3Springer Nature$$uhttps://link.springer.com/10.1007/978-1-4842-9711-7$$zOnline Access$$91397441.2 001480681 909CO $$ooai:library.usi.edu:1480681$$pGLOBAL_SET 001480681 980__ $$aBIB 001480681 980__ $$aEBOOK 001480681 982__ $$aEbook 001480681 983__ $$aOnline 001480681 994__ $$a92$$bISE