Data Modeling & Design

It is almost universally accepted that requirements documents for new or enhanced IT systems by business analysts should include a 'data model' to represent the information that has to be handled by the system. Starting from first principles, this...

Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These...

Cyberethics: Morality and Law in Cyberspace, Seventh Edition provides a comprehensive and up-to-date investigation of the internet's influence on our society and our lives. As internet use expands and new informational technologies are developed...

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website...

Learn to effectively manage data and execute data science projects from start to finish using Python Key Features * Understand and utilize data science tools in Python, such as specialized machine learning algorithms and statistical modeling * Build a...

Build web-based, mobile-friendly analytic apps and interactive dashboards with Python Key Features Develop data apps and dashboards without any knowledge of JavaScript Map different types of data such as integers, floats, and dates to bar charts,...

Built specifically for statistical computing and graphics, the R language, along with its amazing collection of libraries and tools, is one of the most powerful tools you can use to tackle data analysis for business, research, and other data-intensive...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781935504214Author William KentFormat PaperbackPage Count 200Imprint Technics Publications LLCPublisher Technics Publications LLCWeight(grams) 410g

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789874269041Author Pablo CasasFormat PaperbackPage Count 306Imprint Pablo Adrian CasasPublisher Pablo Adrian CasasWeight(grams) 449gDimensions(mm) 229mm *...

A focused guide for healthcare simulation operations in education and training With the growing use of simulation within the field of healthcare, Healthcare Simulation: A Guide for Operations Specialists provides a much needed resource for developing the...

There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work...

This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The book opens with a broad look...

Turning text into valuable information is essential for businesses looking to gain a competitive advantage. With recent improvements in natural language processing (NLP), users now have many options for solving complex challenges. But it's not always...

The 'ShipCraft' series provides in-depth information about building and modifying model kits of famous warship types. Lavishly illustrated, each book takes the modeller through a brief history of the subject class, highlighting differences between...

Understand data analysis pipelines using machine learning algorithms and techniques with this practical guideKey FeaturesPrepare and clean your data to use it for exploratory analysis, data manipulation, and data wranglingDiscover supervised,...

From beginner to Jedi, this cookbook has a recipe for everyone, whether you're just learning how to create data visualizations or have already used Tableau for years. Author Lorna Brown provides more than 100 practical recipes to enhance the way you...

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience. With the tutorials in this hands-on guide, you'll learn how to use the essential R tools you need to know to analyze...

If you want to attract and retain users in the booming mobile services market, you need a quick-loading app that won't churn through their data plans. The key is to compress multimedia and other data into smaller files, but finding the right method is...

Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data Factory Key Features * Learn how to load and transform data from various sources, both on-premises and on cloud * Use Azure...

Learn how to transform, store, evolve, refactor, model, and create graph projections using the Python programming language Purchase of the print or Kindle book includes a free PDF eBook Key Features Transform relational data models into graph data...

Understand data science concepts and methodologies to manage and deliver top-notch solutions for your organizationKey FeaturesLearn the basics of data science and explore its possibilities and limitationsManage data science projects and assemble teams...

Many analysts are too concerned with tools and techniques for cleansing, modeling, and visualizing datasets and not concerned enough with asking the right questions. In this practical guide, data strategy consultant Max Shron shows you how to put the why...

Graph algorithms is a well-established subject in mathematics and computer science. Beyond classical application fields, like approximation, combinatorial optimization, graphics, and operations research, graph algorithms have recently attracted increased...

With the surge in big data and AI, organizations can rapidly create data products. However, the effectiveness of their analytics and machine learning models depends on the data's quality. Delta Lake's open source format offers a robust lakehouse...

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you'll learn techniques for extracting and transforming features-the numeric representations of raw data-into...

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...

A comprehensive history of data visualization-its origins, rise, and effects on the ways we think about and solve problems.With complex information everywhere, graphics have become indispensable to our daily lives. Navigation apps show real-time,...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781733046107Author Teo LachevFormat PaperbackPage Count 222Imprint PrologikaPublisher PrologikaWeight(grams) 390gDimensions(mm) 235mm * 191mm * 12mm

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine...

Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BI Key Features * Understand data modeling techniques to get the best out of data using Power BI * Define the relationships...

As everyday tasks grow more confusing, and as social and global problems grow more complex, the information designer's role in bringing clarity has reached a new level of importance. In order to have a positive impact, they must go beyond conventional...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781634622950Author Steve HobermanFormat PaperbackPage Count 198Imprint Technics PublicationsPublisher Technics PublicationsWeight(grams) 272gDimensions(mm)...

Machine learning is an intimidating subject until you know the fundamentals. If you understand basic coding concepts, this introductory guide will help you gain a solid foundation in machine learning principles. Using the R programming language, you'll...

Propose a new scalable data architecture paradigm, Data Lakehouse, that addresses the limitations of current data architecture patternsKey FeaturesUnderstand how data is ingested, stored, served, governed, and secured for enabling data analyticsExplore a...

Drive value and insight by developing business critical applications with QlikView 12 About This Book * Develop your own scalable and maintainable QlikView applications * Learn time-saving techniques for making your QlikView development more...

Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to "Head First Data Analysis", where you'll quickly learn how to collect and organize...

Organize, plan, and build an exceptional data analytics team within your organization In Minding the Machines: Building and Leading Data Science and Analytics Teams, AI and analytics strategy expert Jeremy Adamson delivers an accessible and insightful...

Understand the complexities of modern-day data engineering platforms and explore strategies to deal with them with the help of use case scenarios led by an industry expert in big dataKey FeaturesBecome well-versed with the core concepts of Apache Spark...

Get well-versed with different time series analysis and forecasting techniques using Python Key Features * Learn how to work with time series data for stock analysis, predictive maintenance, and anomaly detection * Implement time series analysis...