Hands-On Big Data
Modeling: Effective database design techniques for data architects and business intelligence professionals
Authors: James Lee – Tao Wei – Suresh Kumar Mukhiya
ISBN-10: 1788620909
ISBN-13: 9781788620901
Publication Date 出版日期: 2018-11-30
Print Length 页数: 306 pages
Book Description
By finelybook
Solve all big data problems by learning how to create efficient data models
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
contents
1 Introduction to Big Data and Data Management
2 Data Modeling and Management Platforms
3 Defining Data Models
4 Categorizing Data Models
5 Structures of Data Models
6 Modeling Structured Data
7 Modeling with Unstructured Data
8 Modeling with Streaming Data
9 Streaming Sensor Data
10 Concept and Approaches of Big-Data Management
11 DBMS to BDMS
12 Modeling Bitcoin Data Points with Python
13 Modeling Twitter Feeds Using Python
14 Modeling Weather Data Points with Python
15 Modeling IMDb Data Points with Python
