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1) Big Data for Beginners: Book 2 - An Introduction to the Data Analysis, Visualization, Integration
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Big Data has become a ubiquitous term in the world of technology and business, but many people are still unsure about what it means and how it can be used effectively. In "Big Data for Beginners: An Introduction to the Data Analysis, Visualization, Integration, Interoperability, Governance and Ethics," readers will get a comprehensive overview of the key concepts and principles behind Big Data, as well as practical guidance on how to make the most...
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Data Mesh is a revolutionary new approach to data management and organization that has the potential to transform the way we think about data and its role in driving business outcomes. In this book, we explore the principles of Data Mesh and its application to the field of Data Science. At its core, Data Mesh is about decentralizing data ownership and empowering teams to take ownership of their own data domains. By breaking down data silos and enabling...
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"Data Lake: Strategies and Best Practices for Storing, Managing, and Analyzing Big Data" is a comprehensive guide to understanding and implementing a data lake architecture. With the increasing volume, velocity, and variety of data being generated, organizations need to be able to store and analyze large amounts of data to gain insights and make informed decisions. This book covers the key concepts and principles of data lakes, including data ingestion,...
4) Data Analysis for Beginners: The Abcs of Data Analysis: An Easy-To-Understand Guide for Beginners
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This book provides a comprehensive introduction to data analysis, covering a range of topics from understanding different types of data and methods of collection to machine learning and ethical considerations. The book begins by explaining the importance of data analysis in making informed decisions and solving complex problems in various fields. It then provides a detailed overview of data types, methods of collection, and best practices for cleaning...
5) Big Data for Beginners: Book 1 - An Introduction to the Data Collection, Storage, Data Cleaning and
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"Big Data for Beginners" is a comprehensive introduction to the world of big data and its various components. In this book, you will learn about the processes involved in collecting, storing, cleaning, and preprocessing large amounts of data. With the rise of the digital age, companies and organizations have access to more data than ever before. However, this data is often unstructured and messy, making it difficult to analyze and draw meaningful...
6) Data-Intensive Applications: Design, Development, and Deployment Strategies for Scalable and Reli
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"Data-Intensive Applications: Design, Development, and Deployment Strategies for Scalable and Reliable Systems" is a comprehensive guide to building robust and scalable applications in the era of big data. With the explosion of data in recent years, building applications that can handle massive amounts of data has become increasingly important. This book covers the entire lifecycle of data-intensive applications, from designing and developing the...
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"Data Warehousing: Unlocking the Power of Data for Strategic Insights and Informed Decisions" is a comprehensive guide to understanding and implementing Data Warehousing solutions for businesses. In this book, readers will gain a thorough understanding of the key components of Data Warehousing and its architecture, as well as the process of designing and implementing a Data Warehouse. The book also covers the essential tools and technologies used...
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In today's digital age, data has become the lifeblood of every business, and the ability to extract insights from it can be a game-changer. With the rise of cloud computing, AWS has emerged as a leader in providing data analytics services that help businesses transform raw data into actionable insights. In "The Power of Data: Unleashing Insights and Solutions with AWS Analytics", readers will gain a comprehensive understanding of the key concepts,...
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In the world of data warehousing, the accuracy and performance of models are crucial for effective data analysis and decision-making. "Model Evaluation" is a comprehensive book that provides a detailed overview of the evaluation process for data warehouse models. From understanding the basics of data warehousing to evaluating the performance of different types of models, this book covers the key concepts, techniques, and best practices for evaluating...
10) Power Bi: Unleashing Insights With Power BI: A Comprehensive Guide to Data Visualization and Busi
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In today's data-driven world, businesses need to extract meaningful insights from their data to stay ahead of the competition. Power BI, a cloud-based business intelligence platform by Microsoft, has emerged as a leader in providing advanced analytics and visualization capabilities to businesses of all sizes. In "Unleashing Insights with Power BI: A Comprehensive Guide to Data Visualization and Business Intelligence", readers will gain a comprehensive...
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Python Data Science for Beginners: Analyze and Visualize Data Like a Pro is the ultimate guide to learning the fundamentals of data science with Python. This book is perfect for anyone who is new to data science or wants to expand their skills in this field. In this book, you'll learn how to manipulate and transform data using the popular pandas library, explore and visualize data using matplotlib and seaborn, build and evaluate machine learning models...
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Data Structures for Beginners: Mastering the Building Blocks of Efficient Data Management" is a comprehensive guide for those who are new to programming and want to learn about data structures. Data structures are essential building blocks in computer science that help to manage and organize large amounts of data efficiently. This book provides a clear and concise introduction to data structures and covers essential topics such as arrays, linked lists,...
13) Neural Networks for Beginners: An Easy-to-Follow Introduction to Artificial Intelligence and Deep
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"Neural Networks for Beginners: An Easy-to-Follow Introduction to Artificial Intelligence and Deep Learning" is an essential guide to understanding the basics of neural networks, the fundamental technology behind artificial intelligence and deep learning. This book provides an in-depth exploration of neural network architectures and how they can be used to solve complex real-world problems in a variety of fields, including image and speech recognition,...
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Gain a broader understanding of data as a product. Have you ever wondered what a data product is?Were you interested in knowing their use in our daily life?Have you ever wondered how data can change and benefit our daily life when used as a product? "Data as a Product" is a book that explores the concept of data as a valuable and marketable commodity. The book discusses how data can be collected, analyzed, and used to create new products and services...
15) Data Mining for Beginners: Extracting Knowledge From Large Datasets From Raw Data to Actionable I
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Data mining is the process of discovering patterns, trends, and insights from large datasets. In today's data-driven world, it has become essential to extract knowledge from raw data and turn it into actionable insights. This book is an introduction to data mining concepts and tools for beginners. The book starts with an overview of data mining and its applications. It then explains the different types of data and the various methods used for data...
16) Computer Programming With R: Comprehensive Introduction Data Analysis and Visualization With R Pro
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"Computer Programming with R: Comprehensive Introduction to Data Analysis and Visualization with R Programming Language" is a comprehensive guide to learning the R programming language for data analysis and visualization. R is a popular open-source programming language used in data science, statistical analysis, and machine learning. This book provides a detailed overview of the R programming language, including its syntax, data structures, and functions....