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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: A more recent version of the RDF-3X code is available at Overview: RDF-3X is the experimental RDF storage and retrieval system described in Thomas Neumann, Gerhard Weikum.

Thomas Neumann: D5: Databases and Information Systems (Max-Planck-Institut für Informatik)

RDF-3X by Thomas Neumann is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported License. Usage: RDF-3X can import NTriples/Turtle RDF data. Rdf3xload db yago.n3 This takes ca. 30 minutes on a laptop with 2GB main memory. Orient - NoSQL document database light, portable and fast. Supports ACID Tx, Indexes, asynch queries, SQL layer, clustering, etc. Orient Technologies - Open source solutions built around the Orient DB. Neo4j open source nosql graph database. Object-Oriented Database (OODBMS) Entity-relationship model. An entity–relationship diagram using Chen's notation.

Entity-relationship model

The Apache Cassandra Project. YAGO-NAGA - D5: Databases and Information Systems (Max-Planck-Institut für Informatik) Overview YAGO2s is a huge semantic knowledge base, derived from Wikipedia WordNet and GeoNames.

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

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 is special in several ways: The accuracy of YAGO has been manually evaluated, proving a confirmed accuracy of 95%. Every relation is annotated with its confidence value.YAGO combines the clean taxonomy of WordNet with the richness of the Wikipedia category system, assigning the entities to more than 350,000 classes.YAGO is an ontology that is anchored in time and space. News [March 22, 2013] The demo about the functionalities of YAGO2s got accepted for WWW 2013. Publications All Publications ...

Unified Modeling Language. The Unified Modeling Language (UML) is a general-purpose modeling language in the field of software engineering, which is designed to provide a standard way to visualize the design of a system.[1] It was created and developed by Grady Booch, Ivar Jacobson and James Rumbaugh at Rational Software during 1994–95 with further development led by them through 1996.[1] In 1997 it was adopted as a standard by the Object Management Group (OMG), and has been managed by this organization ever since.

Unified Modeling Language

In 2000 the Unified Modeling Language was also accepted by the International Organization for Standardization (ISO) as an approved ISO standard. Since then it has been periodically revised to cover the latest revision of UML.[2] Overview[edit] MongoDB. 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.

Jeremy Zawodny's blog

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. Uhm… WHAT?! I’ve spent more than a few years using MySQL and have been using some NoSQL systems for the last year or so in a fairly busy environment.

NoSQL exists for a reason–because they ARE useful to a lot of people. And to make switching data stores sound like something that “you will have plenty of time for” is outright nuts. Gee, let me get this straight. No shit. Bullshit. Seriously? Like this: Database Models: Hierarcical, Network, Relational, Object-Oriented, Semistructured, Associative and Context. The context data model combines features of all the above models.

Database Models: Hierarcical, Network, Relational, Object-Oriented, Semistructured, Associative and Context.

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.

Home - GitHub. Associative model of data. The associative model of data is an alternative data model for database systems.

Associative model of data

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.

Getting the most *out* of your 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. One important feature of PyTables is that it optimizes memory and disk resources so that data takes much less space (specially if on-flight compression is used) than other solutions such as relational or object oriented databases.

You can have a look at the MainFeatures of PyTables. PyTables has been designed to fulfill the next requirements: