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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.
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116.10 zł
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This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.
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This book offers practical guidance on managing data as a product, drawing from real-world experience to empower you to implement your own data product-centric approach.
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Master Retrieval-Augmented Generation (RAG), the most popular generative AI tool, to unlock the full potential of your data. This book enables you to develop highly sought-after skills as corporate investment in generative AI soars.
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This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You’ll also find useful insights into how to implement data governance initiatives.
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Explore Microsoft's pioneering data innovation and investment, driving significant advancements in data maturity, detailed in this book. Learn how business stakeholders who rely on data for daily operations can foster data-driven innovation.
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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
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Achieve data engineering excellence with this comprehensive guide. Learn essential best practices, design patterns, and real-world use cases to architect robust, cost-effective data solutions in the cloud.
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This comprehensive guide explores the benefits of using data contracts to improve data quality in modern data platforms. With a focus on accountability and governance, this book provides practical tips and best practices for implementing data contracts in your organization and building a true data-driven culture.
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Building ETL Pipelines in Python covers the process of creating robust and scalable ETL pipelines from scratch. The book explores all the tools and technologies available to create robust ETL pipelines along with real-world examples and practical implications.
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This book will help you delve into data governance on Google Cloud. Moreover, you'll also cover the latest technological advancements in the domain and be able to build and deploy data pipelines confidently.
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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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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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With its practical approach and real-world examples, this essential resource explores the full potential of Elastic Stack for data-driven projects. Learn how to build scalable and efficient data analytics and search solutions using Elastic Stack.
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This book will guide you through the fundamental and advanced features of the Snowpark framework in Python. You'll learn how to use Snowpark for implementing workloads in the fields of data engineering, data science, and data applications.
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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.
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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.
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The book is a practical guide that’ll help you prepare to successfully break into the data engineering role. The chapters cover technical concepts as well as tips for resume, portfolio, and brand building to catch the employer's attention, while also focusing on case studies and real-world interview questions.
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Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.
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Building Statistical Models in Python will give you the tools to answer questions about data using some of the most widely used techniques in industry with Python. You’ll learn to formulate and test questions using regression, classification, forecasting methods, and summarize findings into insightful actions.
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This book is an essential guide for anyone seeking to transform raw, unstructured data into meaningful insights. It simplifies the complex process of data wrangling by leveraging SQL commands such as aggregate functions, subqueries, and window functions, and is suitable for professionals looking to master the art of data wrangling.
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Graph Data Modeling with Python is your guide to building real-world use cases of how to prepare graph data for modeling, converting tabular to graph data structures, and working through simple graph use cases using degree centrality. Using the Python packages igraph and NetworkX, you’ll build your skills in various types of graph analytics.
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Elevate the Quality of External Images in Your Thesis, Article, or Book with LaTeX Graphics and TikZ. Discover the Art of Seamlessly Integrating Diagrams and Plots in the Native LaTeX Document Style. This book empowers you to gain complete control over graphics, ensuring flawless alignment that is often challenging to achieve.
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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.
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152.10 zł
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SQL Query Design Patterns and Best Practices is a practical guide to making queries more efficient and maintainable. This book will help you improve your skills for writing complex queries, formatting, optimizing common query issues, and applying new techniques such as windowing and time-series functionality.
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Agile development and quick time-to-market deployments are crucial for competitive markets and dynamic needs, and deploying artificial intelligence technologies in microservices architecture creates flexible and adaptive systems. This practical guide helps developers and architects to design and deploy intelligent microservices systems.
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CompTIA Data+: DAO-001 Certification Guide walks you through every concept covered in the new CompTIA exam with simple, a step-by-step explanations. Complete with exam tips, practical exercises, mock exams, and exam objective mappings, this is the perfect study guide to help you obtain Data+ certification
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pkt
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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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pkt
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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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pkt
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Data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time analyzing it. Efforts put into cleaning data are crucial, since analyzing dirty data can lead to inaccurate decisions. This is a critically timed book that will help you identify, diagnose, and treat data cleaning problems in Python, with advanced ML t
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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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pkt
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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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Elasticsearch 8.x Cookbook is your guide to mastering all the capabilities of Elasticsearch. The book includes numerous problem-solution-based recipes with the help of which you can easily implement Elasticsearch in your enterprise applications.
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Microsoft Power BI Performance Best Practices will help developers and solution architects make architectural design choices that ensure solutions are efficient and can perform at high user and data scale. You'll learn with the help of unique tips and tricks along with best practices that will enable you to optimize every layer of Power BI.
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pkt
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152.10 zł
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Enter the world of self-service business intelligence and become the data hero in your organization, or build a promising new data career. In this second edition, you’ll learn how to cleanse data, build data models, and use the advanced analysis capabilities of Power BI to create business value by unlocking key insights contained in your dat
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pkt
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Building Analytics Teams is your one-stop guide to transforming your firm into an analytically driven organization while efficiently and effectively managing executive expectations of the return on investment of the team and projects.
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pkt
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This guide will help you understand Db2 v11.1 DBA certification topics. It covers more than 50 step-by-step procedures for DBAs, all of Db2 v11.1's new features, and its benefits in the real world. This book can also be used to enhance the Db2 skill set.
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Mastering Tableau helps you get hands-on with Tableau and leverage it to create effective data visualizations. From best practices for interfacing with the Tableau Server to advanced dashboarding, this book will equip you with the knowledge you need to work efficiently with data in the real world.
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This technical guide takes you on a data-driven journey by teaching you how to streamline data manipulation, resolve data processing bottlenecks, and optimize pipelines. This book is your go-to resource for becoming proficient with the MongoDB aggregation framework.
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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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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
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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 report highlights the vital role of data quality in your data strategy, offering actionable steps to make it the foundation of your data culture, unlocking greater value and informed decisions in the evolving landscape of AI.
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Dive into SQL & master database management! From basics to advanced data manipulation, this book offers practical techniques to fully harness SQL. Perfect for beginners and those refining skills!
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The Definitive Guide to Data Integration is for data eclectics looking to explore the modern data stack. Complete with practical examples and insights, it covering tools, techniques, and best practices to unleash your data's potential.
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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.
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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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pkt
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Machine learning pipelines are expensive and complex, requiring industries to enable their data science teams with the ability to train models and run predictions with easy-to-use tools. This book helps you implement end-to-end serverless architectures for ingestion, analytics, and machine learning using Redshift Serverless and Redshift ML.
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pkt
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This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.
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With Responsible AI in the Enterprise, you’ll delve into explainable AI, robust ML monitoring, and model governance, while exploring fairness and interpretability toolkits from major cloud providers. You’ll master bias mitigation techniques and be ready to apply them in real-world scenarios with FairLearn and Responsible AI Toolbox.
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This book shows you how dbt makes it easy to build professional data platforms using simple SQL. You’ll learn about the use of patterns, tests, and architecture in dbt to break the complexity of a data platform in its components, to let dbt handle the boilerplate code, and support automation and collaboration in your team with your git provi
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Natural language understanding can address a wide range of problems, from managing smart homes to chatbots to creative writing. Natural Language Understanding with Python covers the full range of techniques for understanding natural language, including the new large language models. With clear explanations and examples, this book will equip you to
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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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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.
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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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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
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134.10 zł
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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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pkt
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Product and service teams benefit tremendously by using unstructured data, and that's where Commerce.AI comes in, merging machine learning, product expertise, and big data to help businesses make accurate decisions using the world's largest unstructured data engine. This audiobook shows you how to use AI to gain insights like never before.
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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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116.10 zł
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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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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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107.10 zł
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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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Machine learning and Python offer unique opportunities to process text data. This book will equip you with the skills you need to undertake a role in the field. The content keeps the right balance between need-to-know theory and hands-on practice, grounding the discussion around different case studies.
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Python Feature Engineering Cookbook, Second Edition will give you the practice, tools, and techniques to streamline your feature engineering pipelines and simplify and improve the quality of your code. With more than 70 methods to transform or create variables, you will find solutions tailored to different datasets and machine learning models.
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There is a growing need for professionals with experience in working on machine learning engineering requirements along with knowledge of automating complex MLOps pipelines in the cloud. This book will help you explore a variety of AWS services that ML practitioners can use to solve various ML engineering requirements and challenges in production.
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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 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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As machine learning becomes increasingly important across many industries, organizations need to keep up by building secure and scalable ML platforms. This handbook takes you through the whole process, from data science to system architecture and ML governance to help you become a true professional ML solutions architect.
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(29,90 zł najniższa cena z 30 dni)
152.10 zł
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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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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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pkt
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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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pkt
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This book is a practical guide for creating and executing data and ML pipelines using the open protocol Delta. Simplifying Data Engineering and Analytics with Delta focuses on helping you make the right architecture choices and providing a hands-on approach to implementation and associated methodologies that will have you up and running in no time.
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MongoDB Fundamentals will get you started using MongoDB for data processing in a cloud computing environment. Starting with the fundamentals of NoSQL, you'll build up to learning advanced data manipulation techniques and application development with the help of hands-on case-studies.
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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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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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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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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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This book gets you up to speed with data science using Python. You’ll cover everything from manipulating and exploring data for solving data science problems through to optimizing your machine learning models for optimal performance. The book helps you learn effectively with the help of expert tips and 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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Explore various real-life scenarios where you can use machine learning. With the help of practical examples, this cookbook will help you to understand which algorithms to use in a given context.
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