| Description |
1 online resource (293 pages) |
| Contents |
Table of Contents -- Preface -- Show Level Chapter 1: Introduction to Big Data and Data Management - Chapter 2: Data Modeling and Management Platforms -- Chapter 3: Defining Data Models -- Chapter 4: Categorizing Data Models -- Chapter 5: Structures of Data Models -- Chapter 6: Modeling Structured Data -- Chapter 7: Modeling with Unstructured Data -- Chapter 8: Modeling with Streaming Data -- Chapter 9: Streaming Sensor Data -- Chapter 10: Concept and Approaches of Big-Data Management -- Chapter 11: DBMS to BDMS -- Chapter 12: Modeling Bitcoin Data Points with Python -- Chapter 13: Modeling Twitter Feeds Using Python -- Chapter 14: Modeling Weather Data Points with Python -- Chapter 15: Modeling IMDb Data Points with Python. - Index |
| Summary |
"Solve all big data problems by learning how to create efficient data modelsKey FeaturesCreate effective models that get the most out of big dataApply your knowledge to datasets from Twitter and weather data to learn big dataTackle different data modeling challenges with expert techniques presented in this bookBook DescriptionModeling and managing data is a central focus of all big data projects. In fact, a database is considered to be effective only if you have a logical and sophisticated data model. This book will help you develop practical skills in modeling your own big data projects and improve the performance of analytical queries for your specific business requirements.To start with, you'll get a quick introduction to big data and understand the different data modeling and data management platforms for big data. Then you'll work with structured and semi-structured data with the help of real-life examples. Once you've got to grips with the basics, you'll use the SQL Developer Data Modeler to create your own data models containing different file types such as CSV, XML, and JSON. You'll also learn to create graph data models and explore data modeling with streaming data using real-world datasets.By the end of this book, you'll be able to design and develop efficient data models for varying data sizes easily and efficiently.What you will learnGet insights into big data and discover various data modelsExplore conceptual, logical, and big data modelsUnderstand how to model data containing different file typesRun through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modelingCreate data models such as Graph Data and Vector SpaceModel structured and unstructured data using Python and RWho this book is forThis book is great for programmers, geologists, biologists, and every professional who deals with spatial data. If you want to learn how to handle GIS, GPS, and remote sensing data, then this book is for you. Basic knowledge of R and QGIS would be helpful." -- Publisher's description |
| Notes |
Available through EBSCOhost |
| Bibliography |
Includes bibliographical references |
| Notes |
Description based on online resource; title from digital title page (viewed on October 04, 2022) |
| Subject |
Big data.
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Database design.
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Data mining.
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Data mining.
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Database software.
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Information architecture.
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Database design & theory.
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Computers -- Database Management -- Data Mining.
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Computers -- Desktop Applications -- Databases.
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Computers -- Data Modeling & Design.
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Database design
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Data mining
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Big data
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| Form |
Electronic book
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| Author |
Wei, Tao
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Mukhiya, Suresh Kumar
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EBSCO Publishing (Firm)
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| ISBN |
9781788626088 |
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1788626087 |
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