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Designing Data-Intensive Applications

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Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What ... Read more

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Data is at the center of many challenges in system design today. Difficult issues such as scalability, consistency, reliability, efficiency, and maintainability need to be resolved. In addition, there's an overwhelming variety of systems, including relational databases, NoSQL datastores, data warehouses, and data lakes. There are cloud services, on-premises services, and embedded databases. What
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Hands-On Large Language Models

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Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... Read more

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Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first
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Advanced Analytics with Spark

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In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other ... Read more

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In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other
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Data Engineering with dbt

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Use easy-to-apply patterns in SQL and Python to adopt modern analytics engineering to build agile platforms with dbt that are well-tested and simple to extend and run Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesBuild a solid dbt base and learn data modeling and the modern data stack to become an analytics engineerBuild automated and reliable pipelines to deploy, test, ... Read more

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SQL for Bеginnеrs

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by MEGANE NOEL ...

Series series Computer Programming
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SQL stands for Structured Query Language and is a programming language for managing and retrieving data from relational databases. This book serves as a basic introduction to SQL and how it works. This book will also assist you in programming or writing SQL queries for database management.This is a beginner's guide that does not assume any prior understanding of the language. In this book, we'll
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Business Models for the Data Economy

by Q. Ethan McCallum, Ken Gleason ...

You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term.In this paper, we ... Read more

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You're sitting on a pile of interesting data. How do you transform that into money? It's easy to focus on the contents of the data itself, and to succumb to the (rather unimaginative) idea of simply collecting and reselling it in raw form. While that's certainly profitable right now, you'd do well to explore other opportunities if you expect to be in the data business long-term.In this paper, we
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The only Oracle Press guide to MySQL Workbench explains how to design and model MySQL databases. MySQL Workbench Data Modeling and Development helps developers learn how to effectively use this powerful product for database modeling, reverse engineering, and interaction with the database without writing SQL statements. MySQL Workbench is a graphical user interface that can be used to create and ... Read more

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The only Oracle Press guide to MySQL Workbench explains how to design and model MySQL databases. MySQL Workbench Data Modeling and Development helps developers learn how to effectively use this powerful product for database modeling, reverse engineering, and interaction with the database without writing SQL statements. MySQL Workbench is a graphical user interface that can be used to create and
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"Data Science Project Ideas for Thesis, Term Paper, and Portfolio" is an indispensable guide for students and enthusiasts exploring the frontiers of data science and technology. This comprehensive book unveils a collection of thought-provoking project ideas spanning advanced analytics, artificial intelligence, and machine learning. Delve into the transformative realms of business, user behavior ... Read more

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Beautiful Data

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In this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will:Explore the opportunities and challenges involved in working with the
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Engenharia de recursos

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Cada vez mais empresas têm investido em análise de dados para conseguir extrair insights por meio de algoritmos baseados em modelos matemáticos e estatísticos. Porém, antes de utilizar esses dados, você precisa saber como prepará-los e como lidar com eles. E isso tem um nome: Feature Engine ou, em português, Engenharia de Recursos. É através dessa etapa que conseguimos transformar e extrair ... Read more

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Cada vez mais empresas têm investido em análise de dados para conseguir extrair insights por meio de algoritmos baseados em modelos matemáticos e estatísticos. Porém, antes de utilizar esses dados, você precisa saber como prepará-los e como lidar com eles. E isso tem um nome: Feature Engine ou, em português, Engenharia de Recursos. É através dessa etapa que conseguimos transformar e extrair
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The Evolution of Data Products

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This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real changes in our lives will come from products and ... Read more

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This report examines the important shifts in data products. Drawing from diverse examples, including iTunes, Google's self-driving car, and patient monitoring, author Mike Loukides explores the "disappearance" of data, the power of combining data, and the difference between discovery and recommendation. Looking ahead, the analysis finds the real changes in our lives will come from products and
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This book's got a bunch of handy recipes for data science pros to get them through the most common challenges they face when using Python tools and libraries. Each recipe shows you exactly how to do something step-by-step. You can load CSVs directly from a URL, flatten nested JSON, query SQL and NoSQL databases, import Excel sheets, or stream large files in memory-safe batches.Once the data's ... Read more

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This book's got a bunch of handy recipes for data science pros to get them through the most common challenges they face when using Python tools and libraries. Each recipe shows you exactly how to do something step-by-step. You can load CSVs directly from a URL, flatten nested JSON, query SQL and NoSQL databases, import Excel sheets, or stream large files in memory-safe batches.Once the data's
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MongoDB Applied Design Patterns

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Whether you’re building a social media site or an internal-use enterprise application, this hands-on guide shows you the connection between MongoDB and the business problems it’s designed to solve. You’ll learn how to apply MongoDB design patterns to several challenging domains, such as ecommerce, content management, and online gaming. Using Python and JavaScript code examples, you’ll discover how ... Read more

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Enterprise Data Workflows with Cascading

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There is an easier way to build Hadoop applications. With this hands-on book, you’ll learn how to use Cascading, the open source abstraction framework for Hadoop that lets you easily create and manage powerful enterprise-grade data processing applications—without having to learn the intricacies of MapReduce.Working with sample apps based on Java and other JVM languages, you’ll quickly learn ... Read more

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50 Tips and Tricks for MongoDB Developers

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Getting started with MongoDB is easy, but once you begin building applications with it, you'll face some complex issues. What are the tradeoffs between normalized and denormalized data? How do you handle replica set failure and failover? This collection of MongoDB tips, tricks, and hacks helps you resolve issues with everything from application design and implementation to data safety and ... Read more

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Getting started with MongoDB is easy, but once you begin building applications with it, you'll face some complex issues. What are the tradeoffs between normalized and denormalized data? How do you handle replica set failure and failover? This collection of MongoDB tips, tricks, and hacks helps you resolve issues with everything from application design and implementation to data safety and
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Spark: The Definitive Guide

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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ? ... Read more

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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals.Youâ??ll explore the basic operations and common functions of Sparkâ?
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Engineering MLOps

Rapidly build, test, and manage production-ready machine learning life cycles at scale on Azure

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Gain a 360° view of MLOps, CI/CD pipelines, building ML solutions, microservice development, and deploying and monitoring models in production in diverse environments using popular tools.Key FeaturesDesign a robust and scalable microservice and API for test and production environmentsBecome well versed in MLOps on Azure and open-source tools, including MLFlow, KubeFlow, Docker, Kubernetes, Apache ... Read more

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Gain a 360° view of MLOps, CI/CD pipelines, building ML solutions, microservice development, and deploying and monitoring models in production in diverse environments using popular tools.Key FeaturesDesign a robust and scalable microservice and API for test and production environmentsBecome well versed in MLOps on Azure and open-source tools, including MLFlow, KubeFlow, Docker, Kubernetes, Apache
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MySQL 8 Cookbook

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In this book, you will learn how to install, configure, and tune MySQL for optimal performance in Linux environments. Important topics like backup strategies, security measures, query optimization, high availability, and replication are covered in each chapter. You will learn to partition and index datasets in a way that improves query performance, and the book provides step-by-step solutions to ... Read more

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In this book, you will learn how to install, configure, and tune MySQL for optimal performance in Linux environments. Important topics like backup strategies, security measures, query optimization, high availability, and replication are covered in each chapter. You will learn to partition and index datasets in a way that improves query performance, and the book provides step-by-step solutions to
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Advances in Soft Computing Applications

by Shristi Kharola, Mangey Ram, Sachin K. Mangla, Yigit Kazancoglu ...

Series series River Publishers Series in Mathematical, Statistical and Computational Modelling for Engineering
The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and ... Read more

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The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and
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Mastering Hadoop 3

Big data processing at scale to unlock unique business insights

by Chanchal Singh, Manish Kumar, Timothy Wong ...

A comprehensive guide to mastering the most advanced Hadoop 3 conceptsKey FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystemSharpen your Hadoop skills with real-world case studies and codeBook DescriptionApache Hadoop is one of the most popular big data solutions for ... Read more

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A comprehensive guide to mastering the most advanced Hadoop 3 conceptsKey FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystemSharpen your Hadoop skills with real-world case studies and codeBook DescriptionApache Hadoop is one of the most popular big data solutions for
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Data Science Algorithms in a Week

Top 7 algorithms for scientific computing, data analysis, and machine learning

by David Natingga ...

Build a strong foundation of machine learning algorithms in 7 daysKey FeaturesUse Python and its wide array of machine learning libraries to build predictive modelsLearn the basics of the 7 most widely used machine learning algorithms within a weekKnow when and where to apply data science algorithms using this guideBook DescriptionMachine learning applications are highly automated and self ... Read more

26,70 € or Free with Kobo Plus

Build a strong foundation of machine learning algorithms in 7 daysKey FeaturesUse Python and its wide array of machine learning libraries to build predictive modelsLearn the basics of the 7 most widely used machine learning algorithms within a weekKnow when and where to apply data science algorithms using this guideBook DescriptionMachine learning applications are highly automated and self
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Hands-On Data Science with the Command Line

Automate everyday data science tasks using command-line tools

by Jason Morris, Chris McCubbin, Raymond Page ...

Big data processing and analytics at speed and scale using command line tools. Key FeaturesPerform string processing, numerical computations, and more using CLI toolsUnderstand the essential components of data science development workflowAutomate data pipeline scripts and visualization with the command lineBook DescriptionThe Command Line has been in existence on UNIX-based OSes in the form of ... Read more

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Big data processing and analytics at speed and scale using command line tools. Key FeaturesPerform string processing, numerical computations, and more using CLI toolsUnderstand the essential components of data science development workflowAutomate data pipeline scripts and visualization with the command lineBook DescriptionThe Command Line has been in existence on UNIX-based OSes in the form of
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Recommended For You

Data Modeling & Design eBooks

Designing Data-Intensive Applications

Hands-On Large Language Models

Gmdh-methodology And Implementation In Matlab

Advanced Analytics with Spark

Data Engineering with dbt

SQL for Bеginnеrs

Business Models for the Data Economy

MySQL Workbench: Data Modeling & Development

Data Science Project Ideas for Thesis, Term Paper, and Portfolio

Oracle PL/SQL for DBAs

Beautiful Data

Engenharia de recursos

The Evolution of Data Products

Python Data Science Cookbook

MongoDB Applied Design Patterns

Enterprise Data Workflows with Cascading

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Spark: The Definitive Guide

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MySQL 8 Cookbook

Advances in Soft Computing Applications

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