Hands-on big data modeling :: effective database design techniques for data architects and business intelligence professionals /
"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 prese...
Gespeichert in:
| 1. Verfasser: | |
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| Körperschaft: | |
| Weitere Verfasser: | , |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing Ltd,
2018.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "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. |
| Beschreibung: | Available through EBSCOhost. |
| Beschreibung: | 1 online resource (293 pages) |
| Bibliographie: | Includes bibliographical references. |
| ISBN: | 9781788626088 1788626087 |
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| 260 | |a Birmingham : |b Packt Publishing Ltd, |c 2018. | ||
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| 505 | 0 | |a 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. | |
| 520 | |a "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. | ||
| 588 | 0 | |a Description based on online resource; title from digital title page (viewed on October 04, 2022). | |
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| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Bases de données |x Conception. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
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| 650 | 7 | |a Computers |x Desktop Applications |x Databases. |2 bisacsh | |
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| 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. |
| ctrlnum | (OCoLC)1079006496 |
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| spelling | Lee, James. author. Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / by James Lee, Tao Wei and Suresh Kumar Mukhiya. Birmingham : Packt Publishing Ltd, 2018. 1 online resource (293 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Available through EBSCOhost. Includes bibliographical references. 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. "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. Description based on online resource; title from digital title page (viewed on October 04, 2022). Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Database design. http://id.loc.gov/authorities/subjects/sh88004472 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Données volumineuses. Bases de données Conception. Exploration de données (Informatique) Data mining. bicssc Database software. bicssc Information architecture. bicssc Database design & theory. bicssc Computers Database Management Data Mining. bisacsh Computers Desktop Applications Databases. bisacsh Computers Data Modeling & Design. bisacsh Database design fast Data mining fast Big data fast Wei, Tao. Mukhiya, Suresh Kumar. EBSCO Publishing (Firm) http://id.loc.gov/authorities/names/n86023339 Print version: Lee, James. Hands-On Big Data Modeling : Effective Database Design Techniques for Data Architects and Business Intelligence Professionals. Birmingham : Packt Publishing Ltd, ©2018 9781788620901 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1950549 Volltext |
| spellingShingle | Lee, James Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / 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. Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Database design. http://id.loc.gov/authorities/subjects/sh88004472 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Données volumineuses. Bases de données Conception. Exploration de données (Informatique) Data mining. bicssc Database software. bicssc Information architecture. bicssc Database design & theory. bicssc Computers Database Management Data Mining. bisacsh Computers Desktop Applications Databases. bisacsh Computers Data Modeling & Design. bisacsh Database design fast Data mining fast Big data fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2012003227 http://id.loc.gov/authorities/subjects/sh88004472 http://id.loc.gov/authorities/subjects/sh97002073 |
| title | Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / |
| title_auth | Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / |
| title_exact_search | Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / |
| title_full | Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / by James Lee, Tao Wei and Suresh Kumar Mukhiya. |
| title_fullStr | Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / by James Lee, Tao Wei and Suresh Kumar Mukhiya. |
| title_full_unstemmed | Hands-on big data modeling : effective database design techniques for data architects and business intelligence professionals / by James Lee, Tao Wei and Suresh Kumar Mukhiya. |
| title_short | Hands-on big data modeling : |
| title_sort | hands on big data modeling effective database design techniques for data architects and business intelligence professionals |
| title_sub | effective database design techniques for data architects and business intelligence professionals / |
| topic | Big data. http://id.loc.gov/authorities/subjects/sh2012003227 Database design. http://id.loc.gov/authorities/subjects/sh88004472 Data mining. http://id.loc.gov/authorities/subjects/sh97002073 Données volumineuses. Bases de données Conception. Exploration de données (Informatique) Data mining. bicssc Database software. bicssc Information architecture. bicssc Database design & theory. bicssc Computers Database Management Data Mining. bisacsh Computers Desktop Applications Databases. bisacsh Computers Data Modeling & Design. bisacsh Database design fast Data mining fast Big data fast |
| topic_facet | Big data. Database design. Data mining. Données volumineuses. Bases de données Conception. Exploration de données (Informatique) Database software. Information architecture. Database design & theory. Computers Database Management Data Mining. Computers Desktop Applications Databases. Computers Data Modeling & Design. Database design Data mining Big data |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1950549 |
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