Price: $39.99 - $58.91
(as of Feb 08, 2025 18:58:23 UTC – Details)
Solve all big data problems by learning how to create efficient data models
Key FeaturesCreate 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 bookBook 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 learnGet 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 RWho 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.
Table of ContentsIntroduction to Big Data and Data ManagementData Modeling and Data Management platforms for Big DataDefining Data ModelCategorizing Data ModelStructures of Data ModelModeling Structured DataModeling with Unstructured DataModeling with Steaming Data Streaming Sensors DataConcept and Approaches of Big Data ManagementDBMS to BDMSBig Data Management Services and VendorsModeling Twitter Feeds using PythonModeling Weather Data Points with PythonModeling IMDB Data Points with Python
From the brand
Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.
Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.
We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.
New Releases
Power BI
Machine Learning
Deep Learning
Causality and XAI
Finance and Forecasting
See Our Full Range
Publisher : Packt Publishing (November 30, 2018)
Language : English
Paperback : 306 pages
ISBN-10 : 1788620909
ISBN-13 : 978-1788620901
Item Weight : 1.19 pounds
Dimensions : 9.25 x 7.52 x 0.64 inches
