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Presentation: All content tagged as Presentation in NoSQL databases and polyglot persistence

Membase History and Internals

Matt Ingenthron (NorthScale) talking Membase history and internals.

If you missed the initial details about Membase check out the what is Membase post..

Original title and link for this post: Membase History and Internals (published on the NoSQL blog: myNoSQL)


Pig: Making Hadoop Easy

A short slide deck on the advantages of using Pig instead of MapReduce:

Pig and Hive at Yahoo gives more details about the data processing flow and the places where Pig and Hive fit in.

Original title and link for this post: Pig: Making Hadoop Easy (published on the NoSQL blog: myNoSQL)


Hadoop: 10 Tips & Tricks

Via Cloudera:

Pretty much summarizes the Hadoop hardware recommendations and Hadoop/HBase Capacity Planning.

Original title and link for this post: Hadoop: 10 Tips & Tricks (published on the NoSQL blog: myNoSQL)


Hypertable: The Ultimate Scaling Machine

Fantastic presentation by Doug Judd covering not only Hypertable but also other really scalable NoSQL databases:

Session was recorded at Berlin Buzzwords conference. Here is the list of my favorite presentations from the event.

Original title and link for this post: Hypertable: The Ultimate Scaling Machine (published on the NoSQL blog: myNoSQL)


Presentation: RestMQ - HTTP/Redis based Message Queue

Gleicon Moraes’ slide deck about RestMQ, an HTTP/Redis based message queue. More about RestMQ can be found ☞ here and the source code is available on ☞ GitHub.

Keep in mind that Redis-backed queues is one very often cited use case for Redis.

Original title and link for this post: Presentation: RestMQ - HTTP/Redis based Message Queue (published on the NoSQL blog: myNoSQL)


Presentation: CRUD with Terrastore

Not sure how long is supposed to stay online, so check Mats Henricson’s slides on CRUD with Terrastore while they are ☞ here:

  • Built on top of Terracotta!
  • HTTP and Java API
  • Supports single-cluster and multi-cluster deployments
  • Elastic: You can add and remove nodes dynamically
  • Scalable: Automatic and transparent re-balancing
  • Schemaless
  • Easy to install and configure
  • Custom data partitioning
  • Event processing
  • Range queries
  • Server-side update functions
  • Per-document consistency

Original title and link for this post: Presentation: CRUD with Terrastore (published on the NoSQL blog: myNoSQL)


Presentation: HBase Internals

Interesting presentation detailing some of the HBase internals:

Slides also mention quite a few HBase case studies (StumbleUpon, Mozilla, Trend Micro, Yahoo, Twitter, etc.)[1], but also a comparison of scenarios where HBase and relational databases fit.


  1. A nice visualization of HBase and Cassandra users is available here.  ()

Original title and link for this post: Presentation: HBase Internals (published on the NoSQL blog: myNoSQL)


Riptano Publishes Videos and Slides from Cassandra Summit

Riptano, the company offering services for Cassandra, has posted links to videos and slide decks from Cassandra summit. 8 videos and 9 slide decks from speakers like Jonathan Ellis (Riptano, Cassandra), Stu Hood (Rackspace), Gary Dusbabek (Rackspace), Kelvin Kakugawa (Digg), Noah Silas and John Watson (Mahalo). They represent probably the most well known Cassandra users.

I haven’t had the time to watch them myself, so please do let us know which ones are the must see.

Riptano Published Videos and Slides from Cassandra Summit originally posted on the NoSQL blog: myNoSQL

via: http://www.riptano.com/blog/slides-and-videos-cassandra-summit-2010


Video: Riak from Small to Large

Rusty Klophaus (Basho) talking about how you can go from using a single Riak server to a fully distributed Riak installation:

I’ve seen this presentation live at Berlin Buzzwords and it is a must see.

Video: Riak from Small to Large originally posted on the NoSQL blog: myNoSQL


Django and NoSQL Databases Revisited

Django decided long time ago that Ruby on Rails cannot be the only framework where people can have fun integrating with all NoSQL databases. During this year DjangoCon Europe there were several session dedicated to Django and NoSQL databases:

What NoSQL support in the Django ORM looks like, and how do we get there

Alex Gaynor speaks about what needs to change in Django ORM to make it more NoSQL friendly:

Reinout van Rees has a summary of the talk ☞ here.

Using MongoDB in your app

Peter Bengtsson talks about his experience of passing from using ZODB for the last 10 years to MongoDB

Some notes from the talk are available ☞ here.

Relax your project with CouchDB

Benoît Chesneau talks about what makes CouchDB appealing to python developers. He also covers the CouchDBkit python framework.

Django and Neo4j: Domain Modeling that Kicks Ass

Not coming from DjangoCon, but still about Django and Neo4j, is Tobias Ivarsson’s presentation: “Django and Neo4j - Domain modeling that kicks ass”:

Derek Stainer summarizes the slide deck ☞ here.

Django and NoSQL Panel

A fantastic panel on the future of Django and NoSQL databases that you can watch over ☞ blip.tv. Reinout van Rees published a transcript of the panel ☞ here.

All in all a lot of NoSQL excitement in the Django world! Or should it be the opposite?

Update: Here is the latest Django and NoSQL Databases status update

Django and NoSQL Databases Revisited originally posted on the NoSQL blog: myNoSQL


Overview of the Amazon Dynamo Paper

This is becoming a habit of the NOSQL summer meeting in ☞ Tokyo:

They did it before for the Google BigTable paper. If you speak Japanese and happen to be around in Tokyo I’d say you shouldn’t miss such an event.

Note: In case you missed it, you can get all NoSQL papers using this little “hack”


Presentation: Getting Started with MongoDB and Node.js

The main point behind Grant Goodale’s presentation is that MongoDB and Node.js are great together:

  • both understand Javascript and JSON
  • both are fast

Alex Payne (ex-Twitter, BankSimple) has a very interesting post about Node.js:

If you look at who’s flocking to Node, it’s largely web developers who have been working in dynamic languages with what we could politely call limited performance characteristics. Adding Node to their architectures means that these developers have gone from having essentially no concurrency story and very constrained runtime performance to having some semi-sane concurrency story – one rigidly enforced by the Node framework – running on a virtual machine with comparatively respectable performance. They slice off a painful bit of their application that’s suited to asynchrony, rewrite it in Node, and move on.

That’s awesome. That kind of outcome definitely meets Node’s secondary stated goal of “less-than-expert programmers” being “able to develop fast systems”. However, it has very little to do with scaling in the larger, more widely-understood sense of the term.

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