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Learn new techniques to ingest, transform, merge, and deliver trusted data to downstream users using modern cloud data architectures and Scala, and learn end-to-end data engineering that will make you the most valuable asset on your data team.
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This guide helps you master DynamoDB, the serverless NoSQL database built for high performance at any scale. Authored by AWS experts, it covers core features, data modeling, and advanced topics, enabling you to build state-of-the-art applications.
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This book will take you through time series analysis techniques and algorithms, from both statistical and machine learning domains. It will introduce you to the KNIME Analytics Platform and its time series extension for implementing practical solutions for demand prediction, signal classification, signal forecasting, and anomaly detection.
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Mastering the art of model serving is a crucial yet daunting task in the realm of machine learning. This comprehensive guide equips you with knowledge of various model serving techniques to seamlessly bring your machine learning models to fruition, while also highlighting the best practices in model deployment.
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While there are many books on various deep learning models, it is difficult to find a book about serving the models at scale. In this book, you will learn how to quickly build working models, convert them into production-ready applications supporting various deployment environments, and distribute them at scale in the most efficient way.
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This book will help you get to grips with time series forecasting using the leading open source forecasting tool, Prophet. You’ll learn how to implement Prophet’s advanced features to build forecasting models and understand why and how to modify each of the default parameters to improve results.
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This is a must-have book for developers and architects who want to understand the core skills that a Java professional should have to become a data architect in order to create effective architectures. You’ll be able to pick up industry best practices if you’re an aspiring Java data architect who wants to easily achieve their goal.
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This is not your classic book with an academic approach; this book explores real-world applications of design patterns in C# that’ll help you in your everyday work. This practical guide will allow software developers to recognize and deliver solutions for the common challenges faced time and again during software design in C# across all indu
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This book is written for developers who want to start using feature stores. This is a comprehensive overview that will teach you how to store, transform, curate, and share features. With the help of practical examples, you’ll learn best practices for training, inference, and reusing features for other ML pipelines.
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This new edition of Azure Data Engineering Cookbook acts as a practical guide, focusing on the different data engineering techniques that can be implemented using Azure Data Services. You will learn how to build end-to-end Azure data engineering pipelines to help you extract useful insights out of raw data collected from disparate sources.
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Data Modeling with Tableau is a practical guide to understanding Tableau's data model. Using a hands-on approach, you’ll master effective ways to build and securely share organizational data models built from multiple data sources. The book covers different parts of the Tableau platform and their role in a data modeling strategy.
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The Art of Data-Driven Business is a practical guide to understanding the intricacies of powering your business decisions with machine learning algorithms backed by the might of Python. The techniques you’ll learn in this book will enable you to make the best possible decisions based on a data-driven approach.
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Thousands of enterprises worldwide use Tableau as the solution for their data issues, big and small. With this updated edition, you will develop a firm grip on data visualization using Tableau 2022 and master all the core features that enable you to explore, prepare, fix, and present data quickly and easily.
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Data Storytelling with Looker Studio helps you advance in your journey as a data analyst by not only providing the know-how and the best ways to leverage Looker Studio but also laying out the principles underlying effective data visualization. You’ll learn the three-step approach to building dashboards using real datasets and practical examp
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This book provides a one-stop solution for diving deep into data analytics with SQL. You'll also understand how to extract business insights from huge unorganized data.
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Data scientists working with Azure will be able to put their knowledge to work with this practical guide to Azure Machine Learning focused on leveraging the SDK V2 and CLI V2. With detailed steps and explanations, you’ll learn how to build and productionize end-to-end machine learning solutions using Azure ML.
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Data Wrangling with R covers the most modern ways to make data ready for exploration or modeling in detail. The book covers libraries from the tidyverse package, such as tidyr, dplyr, ggplot2, and lubridate to help you prepare your data for analysis. You’ll also explore data visualization and modeling to create better graphics and projects w
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Getting to grips with Power BI enables professionals at all organizational levels to make confident decisions using real-time analytics. The Microsoft Power BI Data Analyst Certification Guide will help you prepare for the PL-300 exam with ease and, just as importantly, enable you to implement Power BI best practices to boost your organization
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Tableau Desktop Certified Associate: Exam Guide is a practical book full of exercises and examples that help you master Tableau Desktop and successfully pass the certification with ease. This book includes complete, up-to-date coverage of the exam so you can take them with confidence, fully equipped to pass the first time.
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In this course, we cover the basic as well as advanced data science concepts and how they are implemented using the popular Java tools and libraries. Throughout this course, the chapters will illustrate a challenging data science problem, and then go on to present a comprehensive, Java-based solution to tackle that problem.By the end of this course
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Explore how Python can be applied in scientific computing in Scientific Computing with Python 3. You’ll understand how to implement mathematics with Python, while covering key concepts, useful examples, and expert techniques.
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Find out how to acquire, store, analyze, and visualize highly unstructured social media data using Python tools. This book is your one-stop guide to social media mining for popular websites such as Facebook, Twitter, and Quora and will show you how to use Python for analyzing your social data.
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With this book, you’ll explore Bayesian data analysis, covering the essential concepts, creating probabilistic models using the Python library PyMC3, understanding how different models can be used to answer different data analysis questions, and more. You’ll gain hands-on knowledge as you work through sample problems and practice exer
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Data analysis is the process of applying logical and analytical reasoning in order to study each data component. Python's powerful standard libraries or toolkits, such as Pylearn2 and Hebel, offer a fast, reliable, cross-platform environment for data analytics. This learning path will start with basic data analysis and you will then will gradually
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This cookbook comes with over 70 practical recipes to help you analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes and enable you to meet various real-world business requirements using MDX queries and calculations. With the help of examples, you’ll explore best practices and learn how to implement solutions to common pr
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The pioneer BIM software Archicad offers a highly effective and mature workflow, allowing architects and other designers to model buildings for projects of any size or complexity. If you need to implement BIM in an architectural or design office, this book helps you to adopt Archicad as your primary BIM authoring software.
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Use Azure Cognitive Services and OpenAI to optimize manufacturing costs, improve operations, and enhance customer service. A Practical Guide to Azure Cognitive Services provides practical examples and best practices for leveraging Azure's AI platform.
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Embark on a workshop-style data journey in Power BI using Machine Learning with Microsoft Power BI and Azure OpenAI. Uncover modeling, analytics, and predictive analytics with Power BI machine learning. Discover AI features, R/Python integration, and OpenAI unlocking new possibilities.
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125.10 zł
139.00 zł (-10%)
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This book shows you how to effectively use Power BI, covering everything from Fact tables and Dimension tables to different data modeling techniques. With the help of real-world scenarios, you'll be able to identify when, why, where, and how to prepare data to support an efficient Star Schema to satisfy business requirements.
(143,10 zł najniższa cena z 30 dni)
143.10 zł
159.00 zł (-10%)
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Autodesk's Civil 3D has been the leading design authoring tool supporting Civil Engineering design applications since 2005. In this book, you'll explore the best practices and real-world applications, elevating your designs with Civil 3D. The book is packed with application-based techniques to help you scale your projects efficiently even while wor
(29,90 zł najniższa cena z 30 dni)
143.10 zł
159.00 zł (-10%)
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Promocja
The Data Ingestion with Python Cookbook presents a collection of practical recipes to help you get started with the process of data ingestion from various sources or data files. This book offers a range of code recipes and solutions for creating efficient data ingestion pipelines while addressing common issues related to it.
(107,10 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł (-10%)
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Modeling guides are often steeped in theory and formal language. The innovative approach taken in Data Modeling with Snowflake combines practical modeling concepts with Snowflake best practices and unique features, allowing you to create efficient designs that leverage the power of the Data Cloud.
(107,10 zł najniższa cena z 30 dni)
107.10 zł
119.00 zł (-10%)
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Platform and Model Design for Responsible AI will help you build ML algorithms that are safe, ethical, robust, auditable, and interpretable. You’ll discover the possible threats and potential causes of unfair ML models. The book addresses issues from a model perspective as well as from an architectural and deployment standpoint, enabling you
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł (-10%)
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This hands-on guide will help you learn various strategies for managing data integrity and data quality using effective frameworks, tools, and strategies. Get ready to explore a range of methods and solutions for finance projects and requirements.
(29,90 zł najniższa cena z 30 dni)
125.10 zł
139.00 zł (-10%)
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Principles of Data Science provides an end-to-end framework for cultivating critical thinking about data, performing practical data science, building performant machine learning models, and mitigating bias in AI pipelines. Learn the fundamentals of computational math and stats while exploring modern machine learning and large pre-trained models.
(29,90 zł najniższa cena z 30 dni)
98.10 zł
109.00 zł (-10%)
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With the help of well-structured and practical recipes, this book will teach you how to integrate data from the cloud and on-premises. You’ll learn how to transform, clean, and consolidate data into a single data platform and get to grips with ADF
(29,90 zł najniższa cena z 30 dni)
134.10 zł
149.00 zł (-10%)
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Promocja
The book provides a foundation of building intuitive dashboards using Kibana 8.x and application of data analysis techniques to research, mine and aggregate information to convey business insights and improve decision making.
(29,90 zł najniższa cena z 30 dni)
85.49 zł
94.99 zł (-10%)
