Coders at Work: Reflections on the Craft of Programming Peter Seibel
Database Internals: A Deep Dive into How Distributed Data Systems Work, 1st Edition
- Af
- Med
- Forlag
- 3 Bedømmelse
3.3
- Længde
- 12T 51M
- Sprog
- Engelsk
- Format
- Kategori
Økonomi & Business
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it's often difficult to understand what each one offers. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals.
Throughout the book, you'll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. You'll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines:
● Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines
● Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures
● Distributed systems: Learn how nodes and processes connect and build complex communication patterns
● Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
© 2022 Ascent Audio (Lydbog): 9781663721129
Udgivelsesdato
Lydbog: 27. december 2022
Andre kan også lide...
- Building Microservices: Designing Fine-Grained Systems Sam Newman
- Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures Neal Ford, Mark Richards, Zhamak Dehghani, Pramod Sadalage
- Software Engineering at Google: Lessons Learned from Programming Over Time Tom Manshreck, Hyrum Wright, Titus Winters
- Fundamentals of Data Engineering: Plan and Build Robust Data Systems Matt Housley, Joe Reis
- Monolith to Microservices: Evolutionary Patterns to Transform Your Monolith Sam Newman
- AI and Machine Learning for Coders: A Programmer's Guide to Artificial Intelligence Laurence Moroney
- Deep Learning for Finance: Creating Machine & Deep Learning Models for Trading in Python Sofien Kaabar
- Google Cloud Cookbook: Practical Solutions for Building and Deploying Cloud Services, 1st Edition Rui Costa, Drew Hodun
- Automate This: How Algorithms Came to Rule Our World Christopher Steiner
- Site Reliability Engineering: How Google Runs Production Systems Chris Jones, Betsy Beyer, Jennifer Petoff, Niall Richard Murphy
- Self-Tracking Dawn Nafus, Gina Neff
- Liars and Outliers: Enabling the Trust that Society Needs to Thrive Bruce Schneier
- Boombustology: Spotting Financial Bubbles Before They Burst (2nd Edition): Spotting Financial Bubbles Before They Burst 2nd Edition Vikram Mansharamani
- The Innovation Ultimatum: How Six Strategic Technologies Will Reshape Every Business in the 2020s Steve Brown
- Radical Technologies: The Design of Everyday Life Adam Greenfield
- Data Mesh: Delivering Data-Driven Value at Scale Zhamak Dehghani
- Production Kubernetes: Building Successful Application Platforms John Harris, Alex Brand, Rich Lander, Josh Rosso
- Clean Agile: Back to Basics Robert C. Martin
- Security Chaos Engineering: Sustaining Resilience in Software and Systems Aaron Rinehart, Kelly Shortridge
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems Martin Kleppmann
- Shocks, Crises, and False Alarms: How to Assess True Macroeconomic Risk Paul Swartz, Philipp Carlsson-Szlezak
- Inflation: What It Is, Why It's Bad, and How to Fix It Steve Forbes, Elizabeth Ames, Nathan Lewis
- The Future of Energy Scientific American
- The Super Age: Decoding Our Demographic Destiny Bradley Schurman
- Why Trust Matters: An Economist's Guide to the Ties That Bind Us Benjamin Ho
- Fundamentals of Software Architecture: An Engineering Approach Neal Ford, Mark Richards
- Robot Rules: Regulating Artificial Intelligence Jacob Turner
- Casual Artificial Intelligence John K. Thompson, Judith S. Hurwitz
- Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking Foster Provost, Tom Fawcett
- The Inside Game: Bad Calls, Strange Moves, and What Baseball Behavior Teaches Us About Ourselves Keith Law
- The Little Book of Data: Understanding the Powerful Analytics that Fuel AI, Make or Break Careers, and Could Just End Up Saving the World Justin Evans
- Accountable: The Rise of Citizen Capitalism Michael O'Leary, Warren Valdmanis
- The Ethics of Influence: Government in the Age of Behavioral Science Cass R. Sunstein
- Machine Learning Interviews: Kickstart Your Machine Learning and Data Career Susan Shu Chang
- Artificial Intelligence: Modern Magic or Dangerous Future? Yorick Wilks
- Critical Thinking Jonathan Haber
- Stewardship: Lessons Learned from the Lost Culture of Wall Street John C. Bogle, Charles D. Ellis, John G. Taft
- Cogs and Monsters: What Economics Is, and What It Should Be Diane Coyle
- The Delusions Of Crowds: Why People Go Mad in Groups William J. Bernstein
- Make It New: The History of Silicon Valley Design Barry Katz
- The Enlightened Capitalists: Cautionary Tales of Business Pioneers Who Tried to Do Well by Doing Good James O'Toole
- The Little Book of Valuation: How to Value a Company, Pick a Stock, and Profit, Updated Edition Aswath Damodaran
- The Politics Industry: How Political Innovation Can Break Partisan Gridlock and Save Our Democracy Michael E. Porter, Katherine M. Gehl
- AI and Genius Machines Scientific American
- Microtrends Squared: The New Small Forces Driving the Big Disruptions Today Mark Penn
- The Instant Economist: You Need to Know About How the Economy Works Timothy Taylor
- Games for Your Mind: The History and Future of Logic Puzzles Jason Rosenhouse
- Big Picture Economics: How to Navigate the New Global Economy Joel Naroff, Ron Scherer
- Free Market Revolution: How Ayn Rand’s Ideas Can End Big Government Don Watkins, Yaron Brook
- The Hidden Tools of Comedy: The Serious Business of Being Funny Steve Kaplan
- The Power of Nothing to Lose: The Hail Mary Effect in Politics, War, and Business William L. Silber
- Big Data: How the Information Revolution Is Transforming Our Lives Brian Clegg
- Computational Thinking Peter J. Denning, Matti Tedre
- Gorillas Can Dance: Lessons from Microsoft and Other Corporations on Partnering with Startups Shameen Prashantham
- Clean Architecture: A Craftsman's Guide to Software Structure and Design Robert C. Martin
- Managing Humans: Biting and Humorous Tales of a Software Engineering Manager Michael Lopp
- Cryptography: The Key to Digital Security, How It Works, and Why It Matters Keith Martin
- WTF?: What's the Future and Why It's Up to Us Tim O'Reilly
- Arriving Today: From Factory to Front Door: Why Everything Has Changed About How and What We Buy Christopher Mims
- Designing the Urban Future: Smart Cities Scientific American
- Moore's Law: The Life of Gordon Moore, Silicon Valley's Quiet Revolutionary Rachel Jones, David Brock, Arnold Thackray
- Frenemies: The Epic Disruption of the Advertising Industry (and Everything Else) Ken Auletta
- The Clean Coder: A Code of Conduct for Professional Programmers Robert C. Martin
- The Third Wave Alvin Toffler
- Outside the Box: How Globaliszation Changed from Moving Stuff to Spreading Ideas: How Globalization Changed from Moving Stuff to Spreading Ideas Marc Levinson
- Learning SQL: Generate, Manipulate, and Retrieve Data, 3rd Edition Alan Beaulieu
- Information Architecture: For the Web and Beyond Louis Rosenfeld, Jorge Arango, Peter Morville
- Learning Systems Thinking: Essential Non-Linear Skills and Practices for Software Professionals Diana Montalion
- SAM: One Robot, a Dozen Engineers, and the Race to Revolutionize the Way We Build Jonathan Waldman
- Scaling Conversations: How Leaders Access the Full Potential of People Dave MacLeod
- Manipulation: What It Is, Why It's Bad, What to Do About It Cass R. Sunstein
- AI and the Future of Banking Tony Boobier
- Genetic Engineering: Progress and Controversy Scientific American
- Martin Gardner: The Magic and Mystery of Numbers Scientific American
- A Hacker's Mind: How the Powerful Bend Society's Rules, and How to Bend them Back Bruce Schneier
- Say’s Law: An Historical Analysis Thomas Sowell
- Luck David Flusfeder
- 21st Century Monetary Policy: The Federal Reserve from the Great Inflation to COVID-19 Ben S. Bernanke
- AI and Machine Learning for On-Device Development: A Programmer's Guide, 1st Edition Laurence Moroney
- Zero: The Biography of a Dangerous Idea Charles Seife
- Fact or Fiction: Science Tackles 58 Popular Myths Scientific American
- Measurement Paul Lockhart
- Deep Learning John D. Kelleher
- Shifting the Balance: How Top Organizations Beat the Competition by Combining Intuition with Data Mark Schrutt
- Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning Alex J. Gutman, Jordan Goldmeier
- Big Data Revolution: What farmers, doctors and insurance agents teach us about discovering big data patterns Rob Thomas, Patrick McSharry
- Cyber Privacy: Who Has Your Data and Why You Should Care April Falcon Doss
- Doing the Right Thing: Ethics in Science Scientific American
- The Infinite Machine: How an Army of Crypto-hackers Is Building the Next Internet with Ethereum Camila Russo
- 2084 and the AI Revolution, Updated and Expanded Edition: How Artificial Intelligence Informs Our Future John C. Lennox
- Averting Catastrophe: Decision Theory for COVID-19, Climate Change, and Potential Disasters of All Kinds Cass R. Sunstein
- Future Minds: The Rise of Intelligence, from the Big Bang to the End of the Universe Richard Yonck
- The Digital Mindset: What It Really Takes to Thrive in the Age of Data, Algorithms, and AI Tsedal Neeley, Paul Leonardi
- Don't Count On It!: Reflections on Investment Illusions, Capitalism, "Mutual" Funds, Indexing, Entrepreneurship, Idealism, and Heroes: Reflections of Investment Illusions, Capitalism, "mutual" Funds, Indexing, Entrepreneurship, Idealism, and Heroes John C. Bogle
- How the World Ran Out of Everything: Inside the Global Supply Chain Peter S. Goodman
- Technology vs. Truth: Deception in the Digital Age Scientific American
- The Body Builders: Inside the Science of the Engineered Human Adam Piore
- Machines of Loving Grace: The Quest for Common Ground Between Humans and Robots John Markoff
- The End of Genetics: Designing Humanity's DNA David B. Goldstein
Vælg dit abonnement
Over 1 million titler
Download og nyd titler offline
Eksklusive titler + Mofibo Originals
Børnevenligt miljø (Kids Mode)
Det er nemt at opsige når som helst
Premium
For dig som lytter og læser ofte.
129 kr. /måned
Eksklusivt indhold hver uge
Fri lytning til podcasts
Ingen binding
Unlimited
For dig som lytter og læser ubegrænset.
159 kr. /måned
Eksklusivt indhold hver uge
Fri lytning til podcasts
Ingen binding
Family
For dig som ønsker at dele historier med familien.
Fra 179 kr. /måned
Fri lytning til podcasts
Kun 39 kr. pr. ekstra konto
Ingen binding
Dig + 1 familiemedlem2 konti
179 kr. /måned
Flex
For dig som vil prøve Mofibo.
89 kr. /måned
Gem op til 100 ubrugte timer
Eksklusivt indhold hver uge
Fri lytning til podcasts
Ingen binding
Har du en rabatkode?
Indtast koden her
