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Data Quality Fundamentals

A Practitioner's Guide to Building Trustworthy Data Pipelines

de Barr Moses, Lior Gavish, Molly Vorwerck ...

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you.Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't ... Leer más

$41.99 USD

Do your product dashboards look funky? Are your quarterly reports stale? Is the data set you're using broken or just plain wrong? These problems affect almost every team, yet they're usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to these questions, this book is for you.Many data engineering teams today face the "good pipelines, bad data" problem. It doesn't
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Fundamentos da qualidade de dados

guia prático para criar pipelines de dados confiáveis

de Barr Moses, Lior Gavish, Molly Vorwerck ...

Traducido por Cibelle Ravaglia ...

Series series O'Reilly
Os dashboards de seus produtos parecem esquisitos? Os relatórios trimestrais estão desatualizados? O conjunto de dados que você está usando está comprometido ou simplesmente errado? Caso tenha respondido sim a essas perguntas, este livro é para você. Geralmente, problemas desse tipo são tratados de forma improvisada e reativa, por mais que afetem quase todas as equipes. Atualmente, muitas equipes ... Leer más

$9.99 USD

Os dashboards de seus produtos parecem esquisitos? Os relatórios trimestrais estão desatualizados? O conjunto de dados que você está usando está comprometido ou simplesmente errado? Caso tenha respondido sim a essas perguntas, este livro é para você. Geralmente, problemas desse tipo são tratados de forma improvisada e reativa, por mais que afetem quase todas as equipes. Atualmente, muitas equipes
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Audiolibro

The Italian Squad

The True Story of the Immigrant Cops Who Fought the Rise of the Mafia

de Paul Moses ...

Narrado por Adam Barr ...

Completo

7 hora 53 minutos

In Sicily, on March 12, 1909, four gunshots thundered in the night. Two men fled, and investigators soon discovered who they had killed: Giuseppe Petrosino, the legendary American detective whose exploits in New York were celebrated even in Italy.Veteran New York City journalist and historian Paul Moses explores the lives of the nationally celebrated detectives who followed in the slain Petrosino ... Leer más

$24.99 USD

In Sicily, on March 12, 1909, four gunshots thundered in the night. Two men fled, and investigators soon discovered who they had killed: Giuseppe Petrosino, the legendary American detective whose exploits in New York were celebrated even in Italy.Veteran New York City journalist and historian Paul Moses explores the lives of the nationally celebrated detectives who followed in the slain Petrosino
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Fundamentals of Data Engineering

Plan and Build Robust Data Systems

de Joe Reis, Matt Housley ...

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 ... Leer más

$48.99 USD

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
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Designing Machine Learning Systems

An Iterative Process for Production-Ready Applications

de Chip Huyen ...

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 ... Leer más

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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
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Data Pipelines Pocket Reference

de James Densmore ...

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.You'll learn common considerations and key decision points when implementing ... Leer más

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Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today's modern data stack.You'll learn common considerations and key decision points when implementing
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Kafka: The Definitive Guide

Real-Time Data and Stream Processing at Scale

de Gwen Shapira, Todd Palino, Rajini Sivaram, Krit Petty ...

Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient ... Leer más

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Every enterprise application creates data, whether it consists of log messages, metrics, user activity, or outgoing messages. Moving all this data is just as important as the data itself. With this updated edition, application architects, developers, and production engineers new to the Kafka streaming platform will learn how to handle data in motion. Additional chapters cover Kafka's AdminClient
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Python for Data Analysis

Data Wrangling with pandas, NumPy, and Jupyter

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Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney ... Leer más

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Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

de Aurélien Géron ...

Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) ... Leer más

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Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow)
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Machine Learning Design Patterns

de Valliappa Lakshmanan, Sara Robinson, Michael Munn ...

The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed ... Leer más

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The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice.In this book, you will find detailed
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Data Mesh

Delivering Data-Driven Value at Scale

de Zhamak Dehghani ...

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that ... Leer más

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We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that
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Building Microservices

Designing Fine-Grained Systems

de Sam Newman ...

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 ... Leer más

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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
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Data Quality Fundamentals

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La gente que leyó estos también disfrutó

Fundamentals of Data Engineering

Designing Machine Learning Systems

Data Pipelines Pocket Reference

Kafka: The Definitive Guide

Python for Data Analysis

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

Machine Learning Design Patterns

Data Mesh

Building Microservices

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