Hands-On Big Data Modeling Hands-On Big Data Modeling

Hands-On Big Data Modeling

Effective database design techniques for data architects and business intelligence professionals

James Lee et autres
    • 29,99 €
    • 29,99 €

Description de l’éditeur

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

Apply your knowledge to datasets from Twitter and weather data to learn big data

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

Explore conceptual, logical, and big data models

Understand how to model data containing different file types

Run through data modeling with examples of Twitter, Bitcoin, IMDB and weather data modeling

Create data models such as Graph Data and Vector Space

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.

GENRE
Informatique et Internet
SORTIE
2018
30 novembre
LANGUE
EN
Anglais
LONGUEUR
306
Pages
ÉDITIONS
Packt Publishing
TAILLE
17,6
Mo

Plus de livres similaires

Practical Big Data Analytics Practical Big Data Analytics
2018
Practical Hadoop Migration Practical Hadoop Migration
2016
Building Big Data and Analytics Solutions in the Cloud Building Big Data and Analytics Solutions in the Cloud
2014
Big Data Analytics with Hadoop 3 Big Data Analytics with Hadoop 3
2018
Data Analysis in the Cloud (Enhanced Edition) Data Analysis in the Cloud (Enhanced Edition)
2015
Data Lakes Data Lakes
2020

Plus de livres par James Lee, Tao Wei & Suresh Kumar Mukhiya

Acrylic Painting: The Ultimate Crash Course To Acrylic Painting - Discover the Art of Acrylic Painting for Still Life Acrylic Painting: The Ultimate Crash Course To Acrylic Painting - Discover the Art of Acrylic Painting for Still Life
2017
A House of Cranes A House of Cranes
2024
Chasing the Alderman: Crook County Vol.1 Chasing the Alderman: Crook County Vol.1
2023
Mastering SQL Mastering SQL
2023
Fifty Years of the Law Commissions Fifty Years of the Law Commissions
2016