Friday, April 19, 2013

My No SQL - Big Data Presentation to Wellington - NZ

Raju Rama Krishna
Wellington, NZ
17th May
Topics:- High Scalability, MongoDB, Redis

WJUG 2013-04-17: Raju Ramakrishna - NoSQL Family from John Hurst on Vimeo.

4 comments:

  1. I read your post about Adaptive Spam Filtering algorithm
    Can you help me how to install spambayes on squirrellmail?
    Please, really need someone to help me.

    ReplyDelete
  2. Please implement a graph database (a kind of NoSQL). This graph database
    should consist of nodes (with have properties) for entities and edges (which
    have single or multiple properties and can be directional or bidirectional) for
    relationships, and support node indexing and query. The query language has
    following keywords: START, MATCH, WHERE, RETURN, ORDER BY,
    AGGREGATE, SKIP, and LIMIT.

    Example Input:
    Node martin = graphDB.createNode();
    martin.setProperty(“name”, “Martin”);
    Node pramod = graphDB.createNode();
    pramod.setProperty(“name”, “Pramod”);
    Node barbara = graphDB.createNode();
    pramod.setProperty(“name”, “Barbara”);
    martin.createRelationshipTo(pramod, FRIEND, since = 1998);
    pramod.createRelationshipTo(martin, FRIEND, since = 1998);
    martin.createRelationshipTo(barbara, FRIEND);
    barbara.createRelationshipTo(martin, FRIEND);
    START node = Node:nodeIndex(name = “Barbara”)
    MATCH path = node-[relation*1..3]->related_node
    WHERE type(relation) = ‘FRIEND’
    RETURN related_node.name, length(path), relation.since;

    ReplyDelete
    Replies
    1. Could you please explain the implementation with example

      Delete
  3. Hi Kalyan.. Sorry just saw your comment. You figured it out or you want me to explain?

    ReplyDelete

UA-36403895-1