Collection Download Ebooks Best Seller Updated Daily

[booksz]

below here , this is a free ebooks search engine, the best free ebooks download library. It's the open directory for free ebooks and download links.

Updated daily for you .

[booksz]

Data Analysis for Business Decisions: Case Studies in Excel, R, and ChatGPT, Third Edition
by Andres Fortino, PhD
English | 2025 | ISBN: 1683929349 | 441 pages | True PDF EPUB | 182.85 MB

In today's data-driven world, the ability to analyze and interpret data is no longer optional―it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you'll gain the skills to make data-backed decisions that drive business success.
FEATURES:
Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI
Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis
Uses real-world case studies to demonstrate the application of concepts to business scenarios
Features companion files with datasets, surveys, and cases (available for downloading from the ✅Publisher)

Rapidgator
https://rg.to/file/4e9895468135db4edae0a189bbdf74d0/4ka38.7z.html
TakeFile
https://takefile.link/7o8d3v1tj5bn/4ka38.7z.html
Fileaxa
https://fileaxa.com/5kj18xuksmzq/4ka38.7z
Fikper
https://fikper.com/h6sB5eyFx3/4ka38.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Analysis Mastery : Leveraging R Programming for Precision and Efficiency by Alfred Buchman
English | December 27, 2024 | ISBN: N/A | ASIN: B0DRSXLKRW | 191 pages | EPUB | 0.72 Mb
About the Technology:

In today's data-driven world, the ability to analyze and interpret information is crucial for success in any field. R, a versatile and powerful programming language, has become a cornerstone for data analysis, statistics, and visualization. From transforming messy datasets into actionable insights to crafting publication-ready visuals, R empowers data enthusiasts and professionals to extract the story hidden within their data. Whether you're managing small datasets or navigating the complexities of big data, mastering R ensures you're equipped to tackle the most demanding analytical challenges with precision and efficiency.
Short Summary:
"Data Analysis Mastery: Leveraging R Programming for Precision and Efficiency" is your comprehensive guide to unlocking the full potential of R for data analysis. Authored by Alfred Buchman, this book offers a structured, hands-on approach that takes you from the basics of R programming to advanced techniques like time series forecasting, statistical modeling, and building interactive dashboards. With clear explanations, step-by-step tutorials, and practical examples, this book is the ultimate resource for professionals and beginners alike, helping you transform raw data into powerful insights.
What's Inside:
* Comprehensive coverage of R programming essentials, from syntax to data structures.
* Step-by-step guidance on cleaning, transforming, and visualizing data.
* Practical tutorials on predictive modeling, machine learning, and big data handling.
* Detailed walkthroughs for real-world case studies, including survey analysis, sales forecasting, and anomaly detection.
* Advanced topics such as time series analysis, reproducible research with R Markdown, and AI-powered data workflows.
* Insights into emerging trends like dynamic dashboards, cloud computing, and AI/ML integration in R.
About the Reader:
This book is perfect for professionals, students, and enthusiasts eager to gain mastery over data analysis with R. Whether you're a complete beginner or have prior experience in programming and statistics, the book's clear explanations and practical examples will ensure a smooth learning journey. Analysts, data scientists, and researchers looking to enhance their analytical toolkit will find immense value in its advanced sections and case studies.

Rapidgator
https://rg.to/file/a6f3182a39647a7345b8d691ce467041/z0mpe.7z.html
TakeFile
https://takefile.link/bhyk3h7x9zyz/z0mpe.7z.html
Fileaxa
https://fileaxa.com/v38jws1yzq79/z0mpe.7z
Fikper
https://fikper.com/JQNEL0Vr66/z0mpe.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Architect: Building Scalable and Intelligent Data Systems by Sam Green
English | December 10, 2024 | ISBN: N/A | ASIN: B0DQ63KJ83 | 76 pages | EPUB | 1.01 Mb
"Data Architect: Building Scalable and Intelligent Data Systems" is your ultimate guide to understanding and excelling in the field of data architecture. Designed for both aspiring and experienced data professionals, this book delves into the principles, tools, and practices that empower organizations to transform raw data into actionable insights.

In today's data-driven world, building efficient, secure, and scalable data systems is more critical than ever. This comprehensive book walks you through the foundational concepts of data architecture, explores advanced topics like real-time processing, AI integration, and edge computing, and equips you with the skills to design future-ready systems.
Through practical examples, case studies, and expert insights, you'll learn how to:Build robust and scalable data models.Design secure, compliant, and efficient data governance frameworks.Leverage cloud platforms and cutting-edge tools for modern data architectures.Support AI and machine learning applications with optimized data pipelines.Address challenges in real-time analytics and IoT data systems.
"Mastering Data Architecture" provides actionable strategies to help you succeed. With a strong emphasis on practical skills, this book also offers insights into career development, team collaboration, and leadership in the evolving world of data.
Transform your data expertise into architectural mastery and shape the future of intelligent data systems with this essential resource. Perfect for data engineers, analysts, architects, and anyone passionate about data-driven solutions.

Rapidgator
https://rg.to/file/f581e3b07352b99fb02705111bed5a9a/aelz5.7z.html
TakeFile
https://takefile.link/mg4ohu3z340x/aelz5.7z.html
Fileaxa
https://fileaxa.com/tumnt88isvby/aelz5.7z
Fikper
https://fikper.com/lpJamK29ET/aelz5.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Driven Decisions in Supply Chain Analytics by The DX Review
English | May 6, 2024 | ISBN: N/A | ASIN: B0D3J51VN1 | 99 pages | EPUB | 5.47 Mb
Optimize Your Global Supply Chain with Data-Driven Analytics

Revolutionize your global supply chain with "Data-Driven Decisions: Mastering Supply Chain Analytics." This powerful guide unlocks the true potential of your operations, empowering you to achieve unparalleled efficiency and data-driven decision-making in the digital age.
Sharpen Your Competitive Edge:Unleash the Power of Data: Leverage cutting-edge analytics to identify hidden inefficiencies, optimize inventory management, and streamline processes across your entire global network.Predict with Precision: Gain actionable insights to forecast demand fluctuations with remarkable accuracy. Proactively manage risks and ensure seamless product delivery, every time.Embrace Digital Transformation: Demystify the power of IoT, AI, and blockchain in logistics. Integrate these transformative technologies for a hyper-efficient and transparent supply chain, boosting customer satisfaction.Become a Data-Driven Leader:Real-World Success Stories: Learn from industry titans who've harnessed the power of supply chain analytics to achieve remarkable results. Explore in-depth case studies that showcase the transformative potential for your own operations.Actionable Roadmaps for All Levels: Regardless of your experience, "Data-Driven Decisions" equips you with clear, actionable strategies. Implement data-driven practices with confidence, from beginner-friendly guides to expert-approved techniques.Future-Proof Your Skills: Master the latest data analytics tools and technologies to stay ahead of the curve in the ever-evolving world of supply chain management.Written by The DX Review
The DX Review is a leading authority on digital transformation, providing insightful analysis and practical guidance for businesses navigating the ever-evolving digital landscape. In this book they leverage their deep industry knowledge to equip readers with the tools and strategies to unlock the transformative power of data analytics in supply chain management.
Sharpen Your Competitive Edge:Unleash the Power of Data: Leverage cutting-edge analytics to identify hidden inefficiencies, optimize inventory management, and streamline processes across your entire global network.Predict with Precision: Gain actionable insights to forecast demand fluctuations with remarkable accuracy. Proactively manage risks and ensure seamless product delivery, every time.Embrace Digital Transformation: Demystify the power of IoT, AI, and blockchain in logistics. Integrate these transformative technologies for a hyper-efficient and transparent supply chain, boosting customer satisfaction.This Book Also Covers:Inventory forecasting techniques: Master the art of demand prediction using various statistical and machine learning models.Supplier relationship management (SRM) with data: Leverage data analytics to strengthen supplier relationships, improve collaboration, and ensure on-time deliveries.Warehouse optimization: Discover data-driven strategies for optimizing warehouse layouts, picking and packing processes, and overall space utilization.Transportation management systems (TMS): Learn how to leverage TMS integration with data analytics for efficient route planning, cost optimization, and real-time shipment tracking.Risk mitigation strategies: Proactively identify and mitigate potential disruptions in your supply chain using data-driven risk assessment techniques.

Rapidgator
https://rg.to/file/8b3125ce18b4d3c339f66441e3b23030/tbuei.7z.html
TakeFile
https://takefile.link/roe0ql5js7kt/tbuei.7z.html
Fileaxa
https://fileaxa.com/zjyp0ctsog08/tbuei.7z
Fikper
https://fikper.com/0yHEFsjgvB/tbuei.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Literacy Fundamentals: for Retail Business by Ardeshir Shojaei
English | October 3, 2024 | ISBN: N/A | ASIN: B0DJH2NL2W | 44 pages | EPUB | 0.51 Mb
A comprehensive guide designed to help retailers understand, interpret, and leverage data for growth!

Whether you're a small retail owner or a large chain manager, this book will teach you how to harness the full potential of DATA for different purposes in retail management.
Data Literacy Fundamentals Chapters:Types of Data in RetailData Sources in RetailStructured vs. Unstructured Retail DataIn-Store Data Collection vs. OnlineRetail Data Analysis FundamentalsIdentifying Trends and Patterns in SalesCustomer SegmentationHow to Use Data to Enhance the In-Store and Online Shopping Experience?Analyzing Price Sensitivity and Customer Behaviorand more
Who Should Read This Book:Retail business owners and managers looking to grow and stay competitive.Marketing professionals seeking to use data for customer engagement and promotions.Supply chain managers focused on optimizing stock levels and reducing costs.E-commerce retailers aiming to improve online customer experience.Anyone in the retail industry who wants to make data-driven decisions for better outcomes.

Rapidgator
https://rg.to/file/c9ea4ec19fe5dde486db38bcdc91ec53/55nhi.7z.html
TakeFile
https://takefile.link/9at9dey5d0ac/55nhi.7z.html
Fileaxa
https://fileaxa.com/koimdgl1upk4/55nhi.7z
Fikper
https://fikper.com/nwjvJ7GA8z/55nhi.7z.html

Links are Interchangeable - Single Extraction

[booksz]

DATA SCIENCE AND PYTHON BOOLEANS: UNLOCKING THE SECRETS OF DATA SCIENCE: STEP-BY-STEP INSTRUCTIONS FOR ASPIRING DATA SCIENTISTS - 2 BOOKS IN 1 by JP PARKER
English | September 22, 2024 | ISBN: N/A | ASIN: B0DD6ZQ1Z3 | 361 pages | EPUB | 0.25 Mb
Are you intrigued by the world of data science but unsure where to begin? Look no further than "Data Science Demystified: A Beginner's Guide to Mastering Data Analysis and Machine Learning for Career Success - Unlocking the Secrets of Data Science: Step-by-Step Instructions for Aspiring Data Scientists".

In this comprehensive guide, we demystify the complex field of data science, making it accessible to beginners and aspiring data scientists alike. Whether you're a college student exploring career options or a professional looking to transition into the exciting world of data science, this book provides everything you need to get started on your journey.
**Unlock the Secrets of Data Science**
Discover the fundamentals of data analysis and machine learning in easy-to-understand language. From understanding data structures and algorithms to mastering statistical techniques and predictive modeling, this book covers it all. Step-by-step instructions and practical examples guide you through each concept, ensuring you develop a strong foundation in data science.
**Master Data Analysis and Machine Learning**
Gain hands-on experience with data analysis and machine learning techniques using popular tools and programming languages such as Python, R, and SQL. Learn how to collect, clean, and analyze data effectively, and build powerful machine learning models to extract insights and make data-driven decisions.
**Prepare for Career Success**
Whether you're aiming for a career as a data analyst, data engineer, data scientist, or machine learning engineer, this book equips you with the skills and knowledge needed to succeed in the field of data science. Learn how to build a professional portfolio, network with industry professionals, and navigate the job market with confidence.
Python Booleans Unveiled: A Beginner's Guide to Mastering the Code Secrets for a Seamless Start
Embark on a journey into the heart of Python programming with "Python Booleans Unveiled," an insightful and accessible guide designed for beginners eager to unravel the mysteries of boolean logic. This comprehensive book takes you on a seamless exploration of Python's boolean principles, demystifying their intricacies and empowering you to wield them with confidence.
## Key Features:
1. **Foundational Understanding:** Build a solid foundation as you delve into the fundamentals of boolean logic, understanding how it shapes decision-making in Python programs.
2. **Practical Examples:** Navigate the world of Python with real-world examples that showcase the practical applications of booleans in diverse scenarios, from web development and automation to data analytics and game development.
3. **Varied Learning Approaches:** Benefit from a varied and engaging learning experience, with detailed chapters, hands-on exercises, and code snippets that cater to different learning styles.
4. **Web Development Insights:** Gain valuable insights into how booleans are integrated into web development, influencing user authentication, conditional rendering, and route filtering.
5. **Data Science Integration:** Explore the dynamic synergy between booleans and data science, witnessing their role in filtering, cleaning, analyzing, and visualizing datasets for meaningful insights.
6. **Real-world Applications:** Bridge the gap between theory and practice by exploring real-world applications where boolean logic is pivotal, from smart home automation and e-commerce to medical diagnosis systems and social media algorithms.
7. **Guided Learning Path:** Progress seamlessly through the book's structured chapters, each building on the previous one, ensuring a gradual and comprehensive understanding of Python booleans.

Rapidgator
https://rg.to/file/6100c878fa43c551f6c5850cfc1ddacd/s13yn.7z.html
TakeFile
https://takefile.link/hosniyou3j5d/s13yn.7z.html
Fileaxa
https://fileaxa.com/sm7ekdzwxqkd/s13yn.7z
Fikper
https://fikper.com/pH9j6Yu7nu/s13yn.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Science Essentials with R
by Das, Abhishek;
English | 2025 | ISBN: 9365895294 | 268 pages | True EPUB | 8.32 MB

This book teaches you to draw insights from your data. In today's data-driven business landscape, making informed decisions requires effective data analysis. This book guides you through the steps to import, structure, and visualize your data in R, and apply statistical and ML algorithms to drive better insights.
This book offers a thorough introduction to data science, starting with R programming basics and advancing to ML and data visualization. Learn to clean, explore, and transform data using tools like dplyr. Key statistical concepts like probability, hypothesis testing, and modeling are covered, providing a foundation for data-driven decisions. Discover supervised and unsupervised ML techniques, feature engineering, and model evaluation. The book also provides career guidance in data science, including skill-building tips and job search strategies, equipping you to excel in this growing field.
By the end of this book, you will be able to confidently use R to prepare data for analysis and apply ML algorithms to make predictions and drive business decisions.
Key Features
● Master R for effective data analysis and ML.
● Analyze data, identify patterns, and drive informed decision-making.
● Learn by doing hands-on R codes and applying ML techniques.
What you will learn
● Use R to clean, analyze, and visualize data effectively.
● Apply statistical techniques to find patterns and trends in data.
● Understand and implement key ML algorithms step-by-step.
● Data visualization techniques using ggDescription2 to create informative visualizations.
● Strong foundation in statistical concepts, including probability theory, hypothesis testing, and statistical modeling.
Who this book is for
This book is ideal for individuals with a basic understanding of programming and statistics who aspire to enter the field of data science. Professionals such as data analysts, software engineers, and researchers will find this book particularly valuable as it provides a practical approach to leveraging data for informed decision-making.
Table of Contents
1. The Data Science Landscape
2. R Basics
3. Exploring Data
4. Wrangling Data
5. Working with Dates
6. Manipulating Strings
7. Visualizing Data
8. Feature Engineering
9. Statistics and Probability
10. Introducing ML
11. Training Machine Learning Models
12. Building a Career in Data Science

Rapidgator
https://rg.to/file/1545fd405f5ab48c991eb54aa596f38d/4yaes.7z.html
TakeFile
https://takefile.link/9h3yywx3oora/4yaes.7z.html
Fileaxa
https://fileaxa.com/e61jw34gietr/4yaes.7z
Fikper
https://fikper.com/Lu34MwO8h0/4yaes.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Science for Decision Makers: Using Analytics and Case Studies
by Erik Herman
English | 2025 | ISBN: 1501523317 | 197 pages | True PDF EPUB | 20.55 MB

This book is an essential guide for executives, managers, entrepreneurs, and anyone seeking to harness the power of data to drive business success. In today's fast-paced and increasingly digital world, the ability to make informed decisions based on data-driven insights is vital. It bridges the complex world of data science and the strategic decision-making process, providing readers with the knowledge and tools they need to leverage data effectively. With a clear focus on practical application, this book demystifies key concepts in data science, from data collection and analysis to predictive modeling and visualization. Via real-world examples, case studies, and actionable insights, readers will learn how to extract insights from data and translate them into strategies that drive organizational growth. Whether you're a seasoned executive looking to sharpen your strategic acumen or a manager seeking to enhance your team's data literacy, this essential reference provides the foundation to navigate the complex landscape of data science.
FEATURES
Features real-world case studies from various industries, showing how data science techniques solve complex business challenges.
Offers implementation roadmaps that detail step-by-step processes for applying data science techniques in practice. These roadmaps act as guides for readers, providing clear instructions on collecting, analyzing, and interpreting data to facilitate informed decision-making.
Provides sample data sets, sample visualizations, and the supporting Python code, providing a firsthand approach to learning and application.

Rapidgator
https://rg.to/file/89def233397bc5829bdff58529548f90/rlipd.7z.html
TakeFile
https://takefile.link/vsa3h644ybfk/rlipd.7z.html
Fileaxa
https://fileaxa.com/847soevhncgz/rlipd.7z
Fikper
https://fikper.com/sdWSvCGjN4/rlipd.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Science: Unlocking Insights for Transforming Data into Knowledge by Theophilus Edet
English | December 29, 2024 | ISBN: N/A | ASIN: B0DP7WW1NZ | 831 pages | EPUB | 1.74 Mb
Unlock the Full Potential of Data Science in Your Career

Are you ready to unlock the power of data and turn raw numbers into meaningful insights? Data Science: Unlocking Insights for Transforming Data into Knowledge is the ultimate guide for aspiring data scientists and professionals eager to harness the power of data. With a focus on the entire data science lifecycle, this book provides readers with practical knowledge to transform data into actionable insights and strategic decisions.
Master the Core Concepts and Tools of Data Science
Explore the Foundations of Data Science to build a solid understanding of essential concepts, including the data science lifecycle, tools, and technologies used in the field today. Learn how to collect, clean, and explore data, uncovering hidden patterns that drive business success. This book also covers Data Science Programming Languages such as Python, R, SQL, and Julia, ensuring you can effectively utilize the best language for every scenario. Whether you're building models or automating pipelines, mastering the right tools is crucial for every data science project.
Learn Data Manipulation, Analysis, and Advanced Machine Learning
Mastering Data Manipulation and Analysis is at the heart of every data-driven decision. With practical insights into cleaning, visualizing, and analyzing data, this book arms you with skills to tackle real-world problems. Dive into the basics of Machine Learning to build powerful predictive models, and then advance into specialized techniques like Natural Language Processing, Computer Vision, and Reinforcement Learning in the Advanced Topics in Data Science section. Learn to deploy models, deal with big data, and gain a competitive edge with cutting-edge techniques.
Take Control of Your Data Engineering and Infrastructure Journey
Finally, enhance your knowledge with a deep dive into Data Engineering and Infrastructure, where you'll learn to build scalable data systems, handle big data, and leverage cloud platforms and tools. Master ETL processes, distributed systems, and the techniques required to process and visualize vast amounts of data effectively. This comprehensive guide offers both theoretical concepts and practical applications, ensuring you're prepared for the next big leap in data science.

Rapidgator
https://rg.to/file/1c6228eb7eaf52e5b907688abd72ce28/3azbi.7z.html
TakeFile
https://takefile.link/srubm6myggjk/3azbi.7z.html
Fileaxa
https://fileaxa.com/6gndz6xb9cgl/3azbi.7z
Fikper
https://fikper.com/Rza3TONq06/3azbi.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data Security and Compliance: Navigating the Challenges of a Digital World by Sam Green
English | November 23, 2024 | ISBN: N/A | ASIN: B0DNXF2S6D | 101 pages | EPUB | 1.22 Mb
"Data Security and Compliance: Navigating the Challenges of a Digital World" is an essential guide for organizations and professionals seeking to understand the complexities of data protection in today's digital age. As businesses increasingly rely on data to drive innovation and growth, safeguarding this valuable asset has never been more critical. At the same time, the global regulatory landscape surrounding data privacy and security continues to evolve, demanding that organizations not only secure their data but also comply with an ever-growing set of laws and standards.

This book offers a comprehensive overview of the key principles of data security, the intricacies of compliance, and the best practices needed to protect sensitive information from cyber threats while meeting legal obligations. From encryption and access controls to navigating GDPR, HIPAA, and other regulations, Data Security and Compliance provides actionable insights for securing data in an increasingly interconnected world.
Through real-world case studies, expert advice, and practical strategies, this book equips IT professionals, business leaders, and compliance officers with the tools they need to build robust security frameworks, avoid costly data breaches, and maintain compliance in a rapidly changing technological landscape. Whether you're looking to implement effective data security practices or stay ahead of evolving compliance challenges, this book is a vital resource for anyone involved in data management and protection.
Perfect for professionals across various industries, "Data Security and Compliance" provides a clear, accessible path toward mastering the complex world of data security, ensuring your organization remains protected and compliant today and in the future.

Rapidgator
https://rg.to/file/7f4b8eeee98f690ff71d5ecef9e5d114/jls7r.7z.html
TakeFile
https://takefile.link/sixdrutm0x4n/jls7r.7z.html
Fileaxa
https://fileaxa.com/lj4uer6yb815/jls7r.7z
Fikper
https://fikper.com/Ug60IdPpQ5/jls7r.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Mark Allen Weiss, "Data Structures and Problem Solving Using Java"
English | 2009 | pages: 1022 | ISBN: 0321541405 | PDF | 5,1 mb
Data Structures and Problem Solving Using Java takes a practical and unique approach to data structures that separates interface from implementation. It is suitable for the second or third programming course.

This book provides a practical introduction to data structures with an emphasis on abstract thinking and problem solving, as well as the use of Java. It does this through what remains a unique approach that clearly separates each data structure's interface (how to use a data structure) from its implementation (how to actually program that structure). Parts I (Tour of Java), II (Algorithms and Building Blocks), and III (Applications) lay the groundwork by discussing basic concepts and tools and providing some practical examples, while Part IV (Implementations) focuses on implementation of data structures. This forces the reader to think about the functionality of the data structures before the hash table is implemented.
The Fourth Edition features many new updates as well as new exercises.

Rapidgator
https://rg.to/file/2f70d0c636b3d3cff1a03fc0c0969012/ypc45.7z.html
TakeFile
https://takefile.link/7hvbtp3w0kim/ypc45.7z.html
Fileaxa
https://fileaxa.com/wdgu1rxyfpwy/ypc45.7z
Fikper
https://fikper.com/miLqbirSin/ypc45.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Data-Intensive Applications: A Comprehensive Guide to Handling and Scaling Big Data by Sam Green
English | September 22, 2024 | ISBN: N/A | ASIN: B0DHT5GY7L | 99 pages | EPUB | 1.56 Mb
In the age of big data, building and managing data-intensive applications has become a cornerstone of technological advancement and business success. Data-Intensive Applications: A Comprehensive Guide to Handling and Scaling Big Data provides a thorough exploration of the principles, practices, and technologies necessary to design and maintain robust, scalable systems in a data-driven world.

This book begins by laying the groundwork for understanding data-intensive applications, including the challenges and intricacies of handling large volumes of data. With a focus on real-world applications, it guides readers through key topics such as data models and query languages, data storage and management strategies, and the architectural choices that impact performance and scalability.
The guide delves deeply into various data processing architectures, contrasting batch and stream processing methods, and explores the latest frameworks and technologies like Apache Hadoop, Spark, Kafka, and Flink. It also covers essential practices for optimizing performance, ensuring data security and privacy, and building reliable, maintainable systems.
Data-Intensive Applications offers valuable insights into case studies from leading industry practices, providing readers with practical examples and lessons learned from successful data management implementations. The book also looks ahead to emerging trends and future technologies, preparing readers to tackle upcoming challenges and capitalize on new opportunities in the ever-evolving landscape of big data.
A systems architect, or a developer looking to deepen your understanding of data-intensive systems, this comprehensive guide equips you with the knowledge and tools needed to excel in the dynamic field of big data.

Rapidgator
https://rg.to/file/d0b3411c9a827fa62694c53956a33635/qo6qm.7z.html
TakeFile
https://takefile.link/dcy5c7enot6b/qo6qm.7z.html
Fileaxa
https://fileaxa.com/uqxi25fldrc5/qo6qm.7z
Fikper
https://fikper.com/OUrzTImcUi/qo6qm.7z.html

Links are Interchangeable - Single Extraction

[booksz]

David M Kroenke, David J Auer, "Database Concepts Global Edition"
English | 2015 | pages: 530 | ISBN: 1292076232 | PDF | 89,2 mb
For undergraduate database management students or business professionals

Here's practical help for understanding, creating, and managing small databases-from two of the world's leading database authorities. Database Concepts by David Kroenke and David Auer gives undergraduate database management students and business professionals alike a firm understanding of the concepts behind the software, using Access 2013 to illustrate the concepts and techniques. Three projects run throughout the text, to show students how to apply the concepts to real-life business situations. The text provides flexibility for choosing the software instructors want to use in class; allows students to work with new, complete databases, including Wedgewood Pacific Corporation, Heather Sweeney Designs, and Wallingford Motors; and includes coverage for some of the latest information on databases available.
Teaching and Learning Experience
This text will provide a better teaching and learning experience-for you and your students. Here's how:
- Provides a firm understanding of the concepts behind the software
- Uses Access 2013 to illustrate the concepts and techniques while also providing flexibility to choose the software used in class
- Allows students to work with new, complete databases
- Includes coverage of some of the latest information available

Rapidgator
https://rg.to/file/f115a97aa36ab6e5b26877c281270a2a/15x6k.7z.html
TakeFile
https://takefile.link/nx1xoa114t1a/15x6k.7z.html
Fileaxa
https://fileaxa.com/iohlnu06owvv/15x6k.7z
Fikper
https://fikper.com/2unXpnmhWq/15x6k.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Database Design and Implementation 101: Fundamentals of Database Systems by Ardeshir Shojaei
English | November 29, 2024 | ISBN: N/A | ASIN: B0DPCMYS8P | 60 pages | EPUB | 0.78 Mb
Have you ever started a software project, only to realize later that your database just can't keep up?

Maybe it's slow, hard to manage, or just doesn't work well with new features. Sound familiar?
Actually, many developers face the same problem-and the good news is, it's avoidable.
This book is your practical guide to database design-a simple way to build strong, reliable databases that can grow with your project.
Here's what you'll Learn:
* Relational vs. NoSQL: The Great Database Debate
* Relational vs. NoSQL Pros and Cons Breakdown
* Real-World Use Cases for Relational vs. NoSQL Databases
* Goals of Good Database Design
* Can We Rely on Framework's Default Tables?
* Best Practices When Using Django's Default Tables
* Database Constraints
* Data Modeling Basics
* Understanding Relationships
* Database Design Workflow
* Tips You Need to Care Before Designing Your Database
No long lessons, no unnecessary info-just practical advice you can apply right away.
Think of this book as your quick-start guide to better databases.
Whether you're building a small app or a complex system, this book will give you a routine that you can stick to it before designing and developing each software.
Why did I write this book?
Because I've been there-fixing messy databases in the middle of a project.
I've learned that when you skip good design practices early, it always leads to problems later. This book is the guide I wish I had when I started out, and now I'm sharing it with you.
Simple. Practical. Written for real-world projects.
If you want to stop worrying about your database and focus on building great software, this book is for you.
P.S. I hope I've explained everything in simple English. If you have any feedback, feel free to comment on the book. And if writing a review feels difficult, a rating would mean a lot to me and make me feel like it's all worth it.

Rapidgator
https://rg.to/file/ae0540503ff0c8f456d2dd4160c64065/d8ifr.7z.html
TakeFile
https://takefile.link/3irq6ae0aldl/d8ifr.7z.html
Fileaxa
https://fileaxa.com/5yusnktae609/d8ifr.7z
Fikper
https://fikper.com/QUYzmvs91y/d8ifr.7z.html

Links are Interchangeable - Single Extraction

[booksz]

Date Night Decoded: Date Ideas To Keep The Thrill Alive; Flirt, Laugh, Repeat by Scott Morvay
English | February 4, 2025 | ISBN: N/A | ASIN: B0DW4898C7 | 88 pages | PDF | 0.96 Mb
Date Night Decoded

Date Idea to Keep The Thrill Alive; Flirt, Laugh, Repeat
Dating should never feel like a chore-it should be fun, exciting, and full of memorable experiences. But let's be honest, sometimes we all run out of ideas. That's where this book comes in!
This guide is packed with creative, unique, and unforgettable date ideas, this guide will help you keep the spark alive whether you're in a brand-new relationship or have been together for years. From adventurous outings and cozy nights in to romantic excursions and playful competitions, you'll find tons of ways to connect, laugh, and make lasting memories.
Inside, you'll discover:
✔ Classic & creative date ideas for every season and occasion.
✔ Tips on planning & execution to make each date special.
✔ How to add spontaneity, romance, and excitement into your relationship.
✔ Ways to deepen your bond through shared experiences and learning together.
And for quick and easy inspiration, this book includes an alphabetical directory at the end-so you'll never be stuck searching for the perfect date idea again!

Rapidgator
https://rg.to/file/3a0d34c1d9ced75b8277d7294f8aae25/m5ds4.7z.html
TakeFile
https://takefile.link/d2j7415npd31/m5ds4.7z.html
Fileaxa
https://fileaxa.com/gbeozmjbl42m/m5ds4.7z
Fikper
https://fikper.com/W7zICuibmM/m5ds4.7z.html

Links are Interchangeable - Single Extraction