
Designing Data-Intensive Applications
The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
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Narrado por:
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Benjamin Lange
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De:
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Martin Kleppmann
Acerca de esta escucha
Newly adapted for audiobook listeners.
Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, we have an overwhelming variety of tools, including relational databases, NoSQL datastores, stream or batch processors, and message brokers. What are the right choices for your application? How do you make sense of all these buzzwords?
In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data. Software keeps changing, but the fundamental principles remain the same. With this book, software engineers and architects will learn how to apply those ideas in practice, and how to make full use of data in modern applications.
Peer under the hood of the systems you already use, and learn how to use and operate them more effectively.
Make informed decisions by identifying the strengths and weaknesses of different tools.
Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity.
Understand the distributed systems research upon which modern databases are built.
Peek behind the scenes of major online services, and learn from their architectures.
©2017 Martin Kleppmann (P)2021 Upfront BooksLos oyentes también disfrutaron...
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Historia
This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.
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the book is not good in audio format
- De Anonymous User en 01-09-20
De: Aditya Bhargava
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Clean Code
- A Handbook of Agile Software Craftsmanship
- De: Robert C. Martin
- Narrado por: Theodore O'Brien
- Duración: 5 h y 49 m
- Versión completa
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Historia
Noted software expert Robert C. Martin presents a revolutionary paradigm with Clean Code: A Handbook of Agile Software Craftsmanship. Martin has teamed up with his colleagues from Object Mentor to distill their best agile practice of cleaning code “on the fly” into a book that will instill within you the values of a software craftsman and make you a better programmer - but only if you work at it.
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Quick fix needed
- De R L en 05-06-21
De: Robert C. Martin
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AI and Machine Learning for Coders
- A Programmer's Guide to Artificial Intelligence
- De: Laurence Moroney
- Narrado por: Timothy Howard Jackson
- Duración: 9 h y 17 m
- Versión completa
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If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics.
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Perfect introduction to machine, learning, and artificial intelligence for any programmer!
- De Luc en 08-11-23
De: Laurence Moroney
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Clean Architecture
- A Craftsman's Guide to Software Structure and Design
- De: Robert C. Martin
- Narrado por: Theodore O'Brien
- Duración: 8 h y 24 m
- Versión completa
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Clean Architecture is an essential book for every current or aspiring software architect, systems analyst, system designer, and software manager - and for every programmer who must execute someone else’s designs.
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good book, missing accompanying pdf
- De ^-^ en 03-29-23
De: Robert C. Martin
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The Staff Engineer's Path
- A Guide for Individual Contributors Navigating Growth and Change
- De: Tanya Reilly
- Narrado por: Wendy Tremont King
- Duración: 13 h y 52 m
- Versión completa
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For years, companies have rewarded their most effective engineers with management positions. But treating management as the default path for an engineer with leadership ability doesn't serve the industry well—or the engineer. The staff engineer's path allows engineers to contribute at a high level as role models, driving big projects, determining technical strategy, and raising everyone's skills. This in-depth book shows you how to understand your role, manage your time, master strategic thinking, and set the standard for technical work.
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Not for all engineers
- De Dan H en 05-27-24
De: Tanya Reilly
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Modern Software Engineering
- Doing What Works to Build Better Software Faster
- De: David Farley
- Narrado por: Amy Gordon
- Duración: 9 h y 37 m
- Versión completa
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In Modern Software Engineering, continuous delivery pioneer David Farley helps software professionals think about their work more effectively, manage it more successfully, and genuinely improve the quality of their applications, their lives, and the lives of their colleagues.
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Could have been a 1-page bulleted list
- De Elle7se en 12-30-22
De: David Farley
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Advanced Algorithms and Data Structures
- De: Marcello La Rocca
- Narrado por: Julie Brierley
- Duración: 23 h y 32 m
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As a software engineer, you’ll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don’t despair! Many of these “new” problems already have well-established solutions. Advanced Algorithms and Data Structures teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Providing a balanced blend of classic, advanced, and new algorithms, this practical guide upgrades your programming toolbox with new perspectives and hands-on techniques.
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Wonderful audio textbook!
- De Howard_a en 11-02-21
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Site Reliability Engineering
- How Google Runs Production Systems
- De: Betsy Beyer, Chris Jones, Jennifer Petoff, y otros
- Narrado por: Liz Porter
- Duración: 20 h y 8 m
- Versión completa
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In this collection of essays and articles, key members of Google’s Site Reliability Team explain how and why their commitment to the entire lifecycle has enabled the company to successfully build, deploy, monitor, and maintain some of the largest software systems in the world. You’ll learn the principles and practices that enable Google engineers to make systems more scalable, reliable, and efficient - lessons directly applicable to your organization.
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Google propaganda
- De Andreas Andersen en 03-30-22
De: Betsy Beyer, y otros
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Monolith to Microservices
- Evolutionary Patterns to Transform Your Monolith
- De: Sam Newman
- Narrado por: Mitchell Dorian
- Duración: 6 h y 45 m
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How do you detangle a monolithic system and migrate it to a microservice architecture? How do you do it while maintaining business-as-usual? As a companion to Sam Newman’s extremely popular Building Microservices, this new book details a proven method for transitioning an existing monolithic system to a microservice architecture.
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Pretty good, but could be better
- De Uri Simhony en 04-11-21
De: Sam Newman
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Becoming a Data Head
- How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning
- De: Alex J. Gutman, Jordan Goldmeier
- Narrado por: Brian Arens
- Duración: 7 h y 41 m
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Becoming a Data Head is a complete guide for data science in the workplace: covering everything from the personalities you’ll work with to the math behind the algorithms. The authors have spent years in data trenches and sought to create a fun, approachable, and eminently bingeable book. Anyone can become a Data Head—an active participant in data science, statistics, and machine learning. Whether you're a business professional, engineer, executive, or aspiring data scientist, this book is for you.
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Great Start for Those interested in data.
- De armando en 09-02-24
De: Alex J. Gutman, y otros
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The Software Engineer's Guidebook
- Navigating Senior, Tech Lead, and Staff Engineer Positions at Tech Companies and Startups
- De: Gergely Orosz
- Narrado por: Nikola Hamilton
- Duración: 15 h
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This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more. This audiobook follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers.
De: Gergely Orosz
Lo que los oyentes dicen sobre Designing Data-Intensive Applications
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Reseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- Grigori
- 12-21-22
Extremely valuable book for senior developers without big data experience as most probably you’ve got many myths to be busted
This book uncovers such important things like transactionslity, consistency, scale, timing, and as it turns they are much deeper and less reliable than you could have expected
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esto le resultó útil a 2 personas
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- Elizabeth Stanford
- 02-13-23
Data out lives code
This book was excellent. It’s a must read for anyone in the data industry it highlights very well how coding and technology are there to serve the data. It provides great understanding of the inner workings of data systems, even for the non-technical data leader.
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esto le resultó útil a 2 personas
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- Cliente de Kindle
- 01-02-23
good oversight of data architectures and tech
Me agradó, considero que debe ser un must-to-read para cualquier profesional de la tecnología , por qué el manejo de datos e inherente a cualquier implementación
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- Eivind Hagen
- 03-04-21
Superb. Several semesters worth of classes.
I have over a decade of experience with software development related to data systems, yet this book made me realize there is a lot I still can learn.
The book builds up from fundamentals to higher level concepts, and in an enjoyable and logical manner.
It's quite amazing that an AUDIO book on this topic can be this good. I am left inspired to put all this excellent knowledge to good use.
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esto le resultó útil a 11 personas
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- Kretch
- 11-23-21
phenomenal material and excellent narrator
material is complex and dense,but narrator does it justice. great job all around, O'Reilly and audible
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esto le resultó útil a 1 persona
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- Anonymous User
- 12-17-23
The consistency
Very GOOD over-all story in the contemporary world of Engineering and Technology superimposed on our highly cybernetic lifestyles.
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- Filip Mitkovski
- 11-30-21
Excellent material
What can i say, this should be “must read” material for each software developer. The author explains each topic in a well thought manner and everything is nicely summarized. Excellent book, buy it you wont regret it!
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- CESAR MUNOZ
- 04-23-22
Great summary
Excellent review of current technologies and design patterns. Initial parts of the book provide some general CS and DB background that could be skipped.
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- Zilal Khalbous
- 03-18-22
Clear recording
I enjoyed listening to the book so i refreshed my information and learned new concepts.
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- J Robinson
- 07-12-22
Awesome book
The breadth and depth of content fit into this book is incredible. I'll definitely listen to this book multiple times
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