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10 Newer Entries Showing entries 31 to 40 of 43 3 Older Entries

Displaying posts with tag: Microsoft SQL Server (reset)

Relational Databases Get a Hard Time
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The NoSQL event has triggered a bit of a hard time for the RDBMS the last week.  I won’t add any commentary as this follows what I have been talking about for a while, but here are some of the links.  Most notable is Michael Stonebraker’s post on the ACM site.

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The problem with the RDBMS (Part 3) – Let's Get Real
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Image by ToniVC via Flickr

  • Introduction
  • The Problem with the Relational Database (Part 1 ) –The Deployment Model
  •   [Read more...]
    Graph Databases and the Future of Large-Scale Knowledge Management
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    Todd Hoff has posted a link to a Los Alamos National Lab presentation on Graph Databases.  In this paper they provide a revisit on the classic RDBMS vs Graph database debate.

    The Relational Database hasn’t maintained its dominance out of dumb luck.  Instead the RDBMS has consistently outperformed while providing the most general use capability of all the variety of platforms that have been

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    The Argument For & Against Map/Reduce
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    The last 24 months has seen the introduction of Map/Reduce functionality into the data processing arena in various forms.  Map/Reduce is a framework for developing scalable data processing functionality, and was popularized by Google (see this earlier post).

    Pure players like Hadoop are starting to find their own niche, helped by organizations such as Cloudera.  However there has been a number of for & against arguments relating to Map/Reduce functionality inside the database.

    These arguments are now really serving a moot point.  Customers have recognized value in Map/Reduce prompting some (b)leading edge database vendors to

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    Top 10 interesting companies in Data Management
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    A bit of fun for a Sunday.  Below is the list of my top 10 interesting companies in Data Management right now.  Interesting to me means doing new stuff and being somewhat disruptive, or have a “watch and see” quality about them.  Note this is about companies not data management applications. 

    While I find a bunch of other data management applications interesting (PNUTS, Cassandra, Redis etc) these aren’t really encapsulated in a company with a go to market strategy.

    10gen - They are making interesting noises not sure about delivery yet
    Amazon – SimpleDB is neat, but not a grown up data platform yet
    Aster Data – Doing funky things with

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    Why you won't be building your killer app on a distributed hash table
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    A great post from Jonathan Ellis on "Why you won't be building your killer app on a distributed hash table"

    Scroll down to see my comment.  I agree a simple DHT is not a suitable solution for mainstream data management issues, but also I think that there is a gap between RDBMS and DHT.

    The Problem with the Relational Database (Part 2) – Predictability
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    I met with a friend of mine in New York recently who runs a credit card processing end-point company.  They specifically built their business around a non-relational database platform and feel they would have major issues had they chosen to build their business around a traditional

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    The Problem with the Relational Database (Part 1 ) –The Deployment Model
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    This is the first detail post in a series I am doing focusing on the issues that exist today with the Relational Database.  This first post is on the deployment model.  It could be argued that this isn’t directly related to the “relational database” but rather is an implementation model problem.  I disagree with this as many characteristics of the relational

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    The Problem with the Relational Database
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    The relational database has been the core mechanism for structured data storage and retrieval for the past 30 years.  My career so far has focused around the relational database, whether it be from a development, administrator or investment perspective.  In all this time the RDB has been the best generic option available for

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    Is the Relational Database Doomed?
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    Recently, a lot of new non-relational databases have cropped up both inside and outside the cloud. One key message this sends is, "if you want vast, on-demand scalability, you need a non-relational database".

    If that is true, then is this a sign that the once mighty relational database finally has a chink in its armor? Is this a sign that relational databases have had their day and will decline over time? In this post, we'll look at the current trend of moving away from relational databases in certain situations and what this means for the future of the relational database.[more]

    10 Newer Entries Showing entries 31 to 40 of 43 3 Older Entries

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