
Fundamentals of Data Engineering
Plan and Build Robust Data Systems
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Narrado por:
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Adam Verner
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De:
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Joe Reis
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Matt Housley
Acerca de esta escucha
Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'll learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available through the framework of the data engineering lifecycle.
Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You'll understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, and governance that are critical in any data environment regardless of the underlying technology.
This book will help you: get a concise overview of the entire data engineering landscape; assess data engineering problems using an end-to-end framework of best practices; cut through marketing hype when choosing data technologies, architecture, and processes; use the data engineering lifecycle to design and build a robust architecture; and incorporate data governance and security across the data engineering lifecycle.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2022 Joseph Reis and Matthew Housley (P)2023 Ascent AudioLos oyentes también disfrutaron...
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Historia
There are no easy decisions in software architecture. Instead, there are many hard parts—difficult problems or issues with no best practices—that force you to choose among various compromises. With this book, you'll learn how to think critically about the trade-offs involved with distributed architectures. Architecture veterans and practicing consultants Neal Ford, Mark Richards, Pramod Sadalage, and Zhamak Dehghani discuss strategies for choosing an appropriate architecture.
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Great content. Terrible narration.
- De Alex en 12-16-23
De: Neal Ford, y otros
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Data Science for Business
- What You Need to Know About Data Mining and Data-Analytic Thinking
- De: Foster Provost, Tom Fawcett
- Narrado por: Benjamin Lange
- Duración: 12 h y 46 m
- Versión completa
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Data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.
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What I Was Looking For
- De Sean en 05-20-22
De: Foster Provost, y otros
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Grokking Algorithms
- De: Aditya Bhargava
- Narrado por: Derek Lettman
- Duración: 3 h y 46 m
- Versión completa
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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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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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Building Microservices
- Designing Fine-Grained Systems
- De: Sam Newman
- Narrado por: Theodore O'Brien
- Duración: 21 h y 12 m
- Versión completa
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As organizations shift from monolithic applications to smaller, self-contained microservices, distributed systems have become more fine-grained. But developing these new systems brings its own host of problems. This expanded second edition takes a holistic view of topics that you need to consider when building, managing, and scaling microservices architectures. Through clear examples and practical advice, author Sam Newman gives everyone from architects and developers to testers and IT operators a firm grounding in the concepts.
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Easy to Understand
- De Anonymous User en 04-27-22
De: Sam Newman
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Data Analytics, Data Visualization & Communicating Data: 3 books in 1
- Learn the Processes of Data Analytics and Data Science, Create Engaging Data Visualizations, and Present Data Effectively
- De: Elizabeth Clarke
- Narrado por: Brennan Koenigsreuter
- Duración: 11 h y 2 m
- Versión completa
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Harvard Business Review called data science “the sexiest job of the 21st century,” so it's no surprise that data science jobs have grown up to 20x in the last 3 years. With demand outpacing supply, companies are willing to pay top dollar for talented data professionals. However…To stand out in one of these positions, having foundational knowledge of interpreting data is essential.
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Make a Successful Career out of data Analytics
- De Kristin Reavis en 12-10-22
De: Elizabeth Clarke
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Introducing Python (2nd Edition)
- Modern Computing in Simple Packages
- De: Bill Lubanovic
- Narrado por: Derek Dysart
- Duración: 13 h y 3 m
- Versión completa
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Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.
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Exactly what I wanted and expected.
- De ridgeway137 en 03-05-24
De: Bill Lubanovic
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Designing Machine Learning Systems
- An Iterative Process for Production-Ready Applications
- De: Chip Huyen
- Narrado por: Kathleen Li
- Duración: 15 h
- Versión completa
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Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements. Author Chip Huyen, cofounder of Claypot AI, considers each design decision in the context of how it can help your system as a whole achieve its objectives.
De: Chip Huyen
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Fundamentals of Data Analytics
- Learn Essential Skills, Embrace the Future, and Catapult Your Career in the Data-Driven World—A Comprehensive Guide to Data Literacy for Beginners
- De: Russell Dawson
- Narrado por: Michael F. Ward
- Duración: 4 h y 20 m
- Versión completa
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Gain a competitive edge in today’s data-driven world and build a rich career as a data professional that drives business success and innovation… Today, data is everywhere… and it has become the essential building block of this modern society. And that’s why now is the perfect time to pursue a career in data. But what does it take to become a competent data professional? This book is your ultimate guide to understanding the fundamentals of data analytics, helping you unlock the expertise of efficiently solving real-world data-related problems.
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The Ultimate Guide to Building a Successful Career
- De chen06 en 01-29-24
De: Russell Dawson
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Data Science for Dummies
- 2nd Edition
- De: Lillian Pierson, Jake Porway - foreword
- Narrado por: Chloe Cannon
- Duración: 10 h y 28 m
- Versión completa
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Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus.
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Avoid as it is useless
- De Ras en 03-01-20
De: Lillian Pierson, y otros
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Data Engineering
- De: Brian Shive
- Narrado por: Virtual Voice
- Duración: 3 h y 28 m
- Versión completa
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If you found a rusty old lamp on the beach, and upon touching it a genie appeared and granted you three wishes, what would you wish for? If you were wishing for a successful application development effort, most likely you would wish for accurate and robust data models, comprehensive data flow diagrams, and an acute understanding of human behavior. The wish for well-designed conceptual and logical data models means the requirements are well-understood and that the design has been built with flexibility and extensibility leading to high application agility and low maintenance costs. The wish ...
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No hay PDF?
- De AngelBar en 10-15-24
De: Brian Shive
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Software Engineering at Google
- Lessons Learned from Programming Over Time
- De: Titus Winters, Tom Manshreck, Hyrum Wright
- Narrado por: Mark Sando
- Duración: 23 h y 36 m
- Versión completa
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How can software engineers manage a living codebase that evolves and responds to changing requirements and demands over the length of its life? Based on their experience at Google, software engineers Titus Winters and Hyrum Wright, along with technical writer Tom Manshreck, present a candid and insightful look at how some of the world’s leading practitioners construct and maintain software. This book covers Google’s unique engineering culture, processes, and tools and how these aspects contribute to the effectiveness of an engineering organization.
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not useful
- De Andreas Andersen en 07-21-21
De: Titus Winters, y otros
Lo que los oyentes dicen sobre Fundamentals of Data Engineering
Calificaciones medias de los clientesReseñas - Selecciona las pestañas a continuación para cambiar el origen de las reseñas.
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- LmL
- 08-14-24
Great for Hands on Business owners
While technical and exact. The book focuses on fundamentals, therefore usable even for non-computer programmers.
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- Anonymous User
- 12-30-23
The original book was quite well converted to audio form.
Please fix the chapter names, since they currently don't correspond to chapter names in the printed book.
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- Amazon Customer
- 07-29-24
technical yet consumable data engineering introduction
Well written and organized; excellent technical reference with current technology stack frameworks used. I would highly recommend this to anyone who is already in IT and interested to learnore about this specialization.
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- JUAN CARLOS MARTINEZ LOERA
- 07-09-24
Great overview
Great overview of Data Engineering, as long as you are familiar with data concepts, this will be much
easier to understand.
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- Alexey
- 01-30-24
Great book and narrator
I liked this book, I think it gives a good high level view on the data engineering domain. Also it is one of the few audio books that cover this topic
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- Mikke
- 03-12-25
Narrator made the magic
I liked the contents very well structured. Narrator did a very good job keeping you plug in
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- Anonymous User
- 08-27-24
Great overview of the fundamentals of data engineering!!
The book "Fundamentals of Data Engineering" is giving a very good intro to the very big area it covers. It is defining Data Engineering based on the very lifecycle it serves, as well as the surroundings knowledge of data management.
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- Amazon Customer
- 09-29-24
Good info, awful recording,
Book does a decent job laying out the landscape of this discipline that underpins modern society. Digital supplement won’t load to mobile. The reading sounds robotic. Just buy the book online
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- Tre
- 12-25-23
Like reading a dictionary
I wish there had been more personality or storytelling. It reads like a textbook or dictionary. In the last chapter it mentions that they hoped they conveyed their passion and that really surprised me because the text was so detached that I didn't get any impression of the authors or their passion.
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- GTZ2082
- 02-18-25
Supplamentary material is poor
Such a book should be accompanied by serious text and not just by a collection of figures without any further explanations. It is impossible to learn and to follow the book in the present way which is just a waste of time and money.
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