Graph Database

Graph Databases: New Opportunities for Connected Data  

Posted by AlenMiler at June 18, 2015
Graph Databases: New Opportunities for Connected Data

Graph Databases: New Opportunities for Connected Data by Ian Robinson
English | 5 July 2015 | ISBN: 1491930896 | 238 Pages | EPUB/AZW3/PDF (conv) | 25.7 MB

Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains.

Graph Databases (repost)  

Posted by interes at July 13, 2014
Graph Databases (repost)

Graph Databases by Ian Robinson, Jim Webber and Emil Eifrem
English | 2013 | ISBN-10: 1449356265 | 224 pages | EPUB + PDF | 12 + 21 MB

Discover how graph databases can help you manage and query highly connected data. With this practical book, you’ll learn how to design and implement a graph database that brings the power of graphs to bear on a broad range of problem domains.

Database Systems for Advanced Applications  eBooks & eLearning

Posted by tanas.olesya at July 21, 2016
Database Systems for Advanced Applications

Database Systems for Advanced Applications (Lecture Notes in Computer Science) by Sourav S. Bhowmick
English | 31 Mar. 2014 | ISBN: 3319058096 | 540 Pages | PDF | 15 MB

The papers cover the following topics: big data management, indexing and query processing, graph data management, spatio-temporal data management, database for emerging hardware, data mining,…

Relational Database Design with FileMaker Pro [repost]  eBooks & eLearning

Posted by ParRus at Feb. 11, 2016
Relational Database Design with FileMaker Pro [repost]

Relational Database Design with FileMaker Pro
WEBRip | English | MP4 + Project files | 1280 x 720 | AVC ~634 kbps | 29.970 fps
AAC | 160 Kbps | 48.0 KHz | 2 channels | 2h 40mn | 447.8 MB
Genre: Video Tutorial / Development, Programming

Let author Cris Ippolite show you how to translate aspects of the real world into the form and language of a relational database, using three practical data modeling examples. The course begins by reviewing some of the basic concepts of data modeling, introducing tables, key fields, and the Relationship Graph. Then, after demonstrating how to establish relationships in a database, the course concludes with a demonstration of some advanced modeling techniques, such as filtering, scripting, and the use of portals. The course applies to versions of FileMaker Pro from 7 through the most current version.

Lynda - Up and Running with Neo4j [repost]  

Posted by house23 at April 16, 2015
Lynda - Up and Running with Neo4j [repost]

Lynda - Up and Running with Neo4j
MP4 | AVC 103kbps | English | 1280x720 | 15fps | 3h 12mins | AAC mono 128kbps | 401 MB
Genre: Video Training

Why are people abandoning their RDMS databases and switching to graph databases like Neo4j? It's more than a "big data" trend. Graph databases can handle more complex data and relationships, which are baked in at the record level. Take a trip through the nuances of the most popular graph database, Neo4j, with Duane Nickull and find out if it's right for your data. He covers key concepts, like transitions, searches, and traversals, and shows you how to work with nodes, the relationships between nodes, and navigate large graphs of information. Developers will be interested in the chapters devoted to Cypher, the query language for finding, creating, modifying, and deleting Neo4J data. There are ten coding challenges sprinkled throughout the course, allowing you to test your Cypher skills, and the exercise files feature a fun, interactive mini "IMDB" that explores data from your favorite movies.

Learning Cypher by Onofrio Panzarino  

Posted by tanas.olesya at Oct. 14, 2014
Learning Cypher by Onofrio Panzarino

Learning Cypher by Onofrio Panzarino
Packt Publishing - ebooks Account | May 14, 2014 | English | ISBN: 1783287756 | 162 pages | PDF, EPUB, MOBI, FB2 | 1 MB

Write powerful and efficient queries for Neo4j with Cypher, its official query language with this book and ebook
Improve performance and robustness when you create, query, and maintain your graph database
Save time by writing powerful queries using pattern matching
Step-by-step instructions and practical examples to help you create a Neo4j graph database using Cypher

Lynda - Up and Running with Neo4j  

Posted by U.N.Owen at May 29, 2014
Lynda - Up and Running with Neo4j

Lynda - Up and Running with Neo4j | 404MB
Duration: 3h 12m | Video: AVC (.mp4) 1280x720 15fps | Audio: AAC 44.1KHz 1ch
Genre: eLearning | Level: Intermediate | Language: English

Why are people abandoning their RDMS databases and switching to graph databases like Neo4j? It's more than a "big data" trend. Graph databases can handle more complex data and relationships, which are baked in at the record level. Take a trip through the nuances of the most popular graph database, Neo4j, with Duane Nickull and find out if it's right for your data.
MongoDB and Python: Patterns and processes for the popular document-oriented database (Repost)

Niall O'Higgins, "MongoDB and Python: Patterns and processes for the popular document-oriented database"
English | 2011-09-30 | ISBN: 1449310370 | 68 pages | PDF | 4,5 MB

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.
Managing and Mining Graph Data (Advances in Database Systems) (repost)

Charu C. Aggarwal, Haixun Wang - Managing and Mining Graph Data (Advances in Database Systems)
English | 2010-03-01 | ISBN: 1441960449 | PDF | 610 pages | 102 MB

Managing and Mining Graph Data is a comprehensive survey book in graph data analytics. It contains extensive surveys on important graph topics such as graph languages, indexing, clustering, data generation, pattern mining, classification, keyword search, pattern matching, and privacy. It also studies a number of domain-specific scenarios such as stream mining, web graphs, social networks, chemical and biological data. The chapters are written by leading researchers, and provide a broad perspective of the area. This is the first comprehensive survey book in the emerging topic of graph data processing.
MongoDB and Python: Patterns and processes for the popular document-oriented database (repost)

Niall O'Higgins, "MongoDB and Python: Patterns and processes for the popular document-oriented database"
English | 2011-09-30 | ISBN: 1449310370 | 68 pages | PDF | 4,5 MB

Learn how to leverage MongoDB with your Python applications, using the hands-on recipes in this book. You get complete code samples for tasks such as making fast geo queries for location-based apps, efficiently indexing your user documents for social-graph lookups, and many other scenarios.