Databases

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Introduction to Databases - Stanford University loading About the Course "Introduction to Databases" had a very successful public offering in fall 2011, as one of Stanford's inaugural three massive open online courses. Since then, the course materials have been improved and expanded, and all materials are available for self-study. Students have access to lectures with in-video quizzes, multiple-choice quiz assignments, automatically-checked interactive programming exercises, midterm and final exams, a discussion forum, optional additional exercises with solutions, and pointers to readings and resources. Taught by Professor Jennifer Widom, the curriculum draws from Stanford's popular Introduction to Databases course. Introduction to Databases - Stanford University
Thomas Neumann: D5: Databases and Information Systems (Max-Planck-Institut für Informatik) [an error occurred while processing this directive] © 2008 Thomas Neumann Note: Thomas Neumann: D5: Databases and Information Systems (Max-Planck-Institut für Informatik)
orient - NoSQL document database light, portable and fast. Supports ACID Tx, Indexes, asynch queries, SQL layer, clustering, etc
Multi-Model Imagine a product with the flexibility of a Document Database and the ability to express relationships like a Graph Database. This is OrientDB.

Orient Technologies - Open source solutions built around the Orient DB

Orient Technologies - Open source solutions built around the Orient DB
“The ODBMS.ORG portal is a mission-critical resource for any serious 21st century software professional. It is indispensable, and a key element in promoting state-of-the-art software craftsmanship.” –Philippe Kahn, Technology Innovator and Entrepreneur. ODBMS.ORG in 2014 A Wealth of Supporters Starts 2014! The world of data management is changing: ODBMS.ORG :: Object Database (ODBMS) | Object-Oriented Database (OODBMS) | Free Resource Portal

ODBMS.ORG :: Object Database (ODBMS) | Object-Oriented Database (OODBMS) | Free Resource Portal

An entity–relationship diagram using Chen's notation In software engineering, an entity–relationship model (ER model) is a data model for describing the data or information aspects of a business domain or its process requirements, in an abstract way that lends itself to ultimately being implemented in a database such as a relational database. The main components of ER models are entities (things) and the relationships that can exist among them. Entity-relationship model Entity-relationship model
The Apache Cassandra Project

The Apache Cassandra Project

Cassandra Welcome to Apache Cassandra The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance. Linear scalability and proven fault-tolerance on commodity hardware or cloud infrastructure make it the perfect platform for mission-critical data. Cassandra's support for replicating across multiple datacenters is best-in-class, providing lower latency for your users and the peace of mind of knowing that you can survive regional outages.
Overview YAGO2s is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames. Currently, YAGO2s has knowledge of more than 10 million entities (like persons, organizations, cities, etc.) and contains more than 120 million facts about these entities. YAGO-NAGA - D5: Databases and Information Systems (Max-Planck-Institut für Informatik)

YAGO-NAGA - D5: Databases and Information Systems (Max-Planck-Institut für Informatik)

UML logo The Unified Modeling Language (UML) is a general-purpose modeling language in the field of software engineering. The basic level provides a set of graphic notation techniques to create visual models of object-oriented software-intensive systems. Unified Modeling Language

Unified Modeling Language

NoSQL is What? | Jeremy Zawodny's blog NoSQL is What? | Jeremy Zawodny's blog I found myself reading NoSQL is a Premature Optimization a few minutes ago and threw up in my mouth a little. That article is so far off base that I’m not even sure where to start, so I guess I’ll go in order. In fact, I would argue that starting with NoSQL because you think you might someday have enough traffic and scale to warrant it is a premature optimization, and as such, should be avoided by smaller and even medium sized organizations. You will have plenty of time to switch to NoSQL as and if it becomes helpful. Until that time, NoSQL is an expensive distraction you don’t need.
Database Models: Hierarcical, Network, Relational, Object-Oriented, Semistructured, Associative and Context. The context data model combines features of all the above models. It can be considered as a collection of object-oriented, network and semistructured models or as some kind of object database. In other words this is a flexible model, you can use any type of database structure depending on task. Such data model has been implemented in DBMS ConteXt. The fundamental unit of information storage of ConteXt is a CLASS. Class contains METHODS and describes OBJECT. Database Models: Hierarcical, Network, Relational, Object-Oriented, Semistructured, Associative and Context.
Gremlin is a graph traversal language. The documentation herein will provide all the information necessary to understand how to use Gremlin for graph query, analysis, and manipulation. Gremlin works over those graph databases/frameworks that implement the Blueprints property graph data model. Gremlin is a style of graph traversal that can be used in various JVM languages. This distribution of Gremlin provides support for Java and Groovy. Except where otherwise stated, the documentation herein is respective of the Groovy implementation (minor syntactic tweaks are required to map the ideas over to other JVM implementations).

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Associative model of data The associative model of data is an alternative data model for database systems. Other data models, such as the relational model and the object data model, are record-based. These models involve encompassing attributes about a thing, such as a car, in a record structure. Such attributes might be registration, colour, make, model, etc.

Getting the most *out* of your data

PyTables is a package for managing hierarchical datasets and designed to efficiently and easily cope with extremely large amounts of data. You can download PyTables and use it for free. You can access documentation, some examples of use and presentations in the HowToUse section. PyTables is built on top of the HDF5 library, using the Python language and the NumPy package. It features an object-oriented interface that, combined with C extensions for the performance-critical parts of the code (generated using Cython), makes it a fast, yet extremely easy to use tool for interactively browse, process and search very large amounts of data.