Designing Data-Intensive Applications
Java Performance: The Definitive Guide
Who Should (and Shouldn’t) Read This BookConventions Used in This BookUsing Code ExamplesSafari® Books OnlineHow to Contact UsAcknowledgments A Brief OutlinePlatforms and ConventionsJVM Tuning FlagsThe Complete Performance StoryWrite Better AlgorithmsWrite Less CodeOh Go Ahead, Prematurely OptimizeLook Elsewhere: The Database Is Always the BottleneckOptimize for the Common CaseSummary Test a Real
Registration: Machine learning & data conference | O'Reilly Strata
We’ve made the very difficult decision to cancel all future O’Reilly in-person conferences. Instead, we’ll continue to invest in and grow O’Reilly online learning, supporting the 5,000 companies and 2.5 million people who count on our experts to help them stay ahead in all facets of business and technology. Come join them and learn what they already know. Become an O’Reilly online learning member
Functional Programming for Java Developers
Welcome to Functional Programming for Java DevelopersConventions Used in This BookUsing the Code ExamplesGetting the Code ExamplesSafari® Books OnlineHow to Contact UsAcknowledgments I Have to Be Good at Writing Concurrent ProgramsMost Programs Are Just Data Management ProblemsFunctional Programming Is More ModularI Have to Work Faster and FasterFunctional Programming Is a Return to Simplicity The
MacRuby: The Definitive Guide
Thank You! Open Feedback Publishing System (OFPS) is now retired. Thank you to the authors and commenters who participated in the program. OFPS was an O'Reilly experiment that demonstrated the benefits of bridging the gap between private manuscripts and public blogs. Readers gained access to in-progress O'Reilly manuscripts and were able to communicate suggestions with the authors, follow others'
1
リリース、障害情報などのサービスのお知らせ
最新の人気エントリーの配信
j次のブックマーク
k前のブックマーク
lあとで読む
eコメント一覧を開く
oページを開く
Kubernetes: Up and Running
Hadoop: The Definitive Guide, 4th Edition
Kafka: The Definitive Guide
Kudu: Resolving transactional and analytic trade-offs in Hadoop
Women in Data
Hadoop Security