Hands-On Big Data Modeling: Effective database design techniques for data architects and business intelligence professionals
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- inglise
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Teadmiskirjandus
Solve all big data problems by learning how to create efficient data models
Key Features
• Create effective models that get the most out of big data
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• Apply your knowledge to datasets from Twitter and weather data to learn big data
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• Tackle different data modeling challenges with expert techniques presented in this book
Book Description
Modeling 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 learn
• Get insights into big data and discover various data models
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• Explore conceptual, logical, and big data models
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• Understand how to model data containing different file types
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• Run through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modeling
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• Create data models such as Graph Data and Vector Space
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• Model structured and unstructured data using Python and R
Who this book is for
This 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.
© 2018 Packt Publishing (E-raamat): 9781788626088
Väljaandmise kuupäev
E-raamat: 30. november 2018
- Allüürnik Freida McFadden
- Külm nagu kivi Alex Smith
- Variatsioon Rebecca Yarros
- Kui meri rahuneb Jørn Lier Horst
- Kalendritüdruk Sebastian Fitzek
- Uskumuste meelevallas Donna Leon
- Mees. Otse ja ausalt Jesper Parve
- Raamatukogu viimased päevad Heli Künnapas
- Safranisügis Maija Kajanto
- Vales seltskonnas Viveca Sten
- Ilmalinnu laul Berit Sootak
- Vanad patud Marianne Cedervall
- Suluseis Helen Eelrand
- Surmanimekiri Anna Jansson
- Rõngu roimad I Joel Jans
- Allüürnik Freida McFadden
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Marta Leelo Kassikäpp
- Külm nagu kivi Alex Smith
- Karulõks Berit Sootak
- Safranisügis Maija Kajanto
- Kaneelisaiakese raamatupood Laurie Gilmore
- Petlik tõde Colleen Hoover
- Fifty-Fifty Steve Cavanagh
- Mees. Otse ja ausalt Jesper Parve
- Tööpäev Tõnu Õnnepalu
- Kui meri rahuneb Jørn Lier Horst
- Surmanimekiri Anna Jansson
- Vanad patud Marianne Cedervall
- Kalendritüdruk Sebastian Fitzek
- Ära kasutatud, vägistatud ja müüdud Jessika Devert, Paulina Bengtsson
- Kaneelisaiakese raamatupood Laurie Gilmore
- Petlik tõde Colleen Hoover
- Fifty-Fifty Steve Cavanagh
- Safranisügis Maija Kajanto
- Kaneelirullisuvi Maija Kajanto
- Veristan su nagu lambatalle Shahrazad
- Cougar. 3. osa Helene Moss
- Topeltelu Iris Mårtenson
- Ämblik Lars Kepler
- Datlitalv Maija Kajanto
- Sohilaps Camilla Läckberg
- See ainus ja õige Jørn Lier Horst
- Šveitsi tütar Soraya Lane
- Kõik algab meist Colleen Hoover
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