NoSQL Benchmarks NoSQL use cases NoSQL Videos NoSQL Hybrid Solutions NoSQL Presentations Big Data Hadoop MapReduce Pig Hive Flume Oozie Sqoop HDFS ZooKeeper Cascading Cascalog BigTable Cassandra HBase Hypertable Couchbase CouchDB MongoDB OrientDB RavenDB Jackrabbit Terrastore Amazon DynamoDB Redis Riak Project Voldemort Tokyo Cabinet Kyoto Cabinet memcached Amazon SimpleDB Datomic MemcacheDB M/DB GT.M Amazon Dynamo Dynomite Mnesia Yahoo! PNUTS/Sherpa Neo4j InfoGrid Sones GraphDB InfiniteGraph AllegroGraph MarkLogic Clustrix CouchDB Case Studies MongoDB Case Studies NoSQL at Adobe NoSQL at Facebook NoSQL at Twitter



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

Reddish: A Visual Admin and Data Analysis Tool for Redis

The initial feature set of reddish, a quite stylish[1] new Redis admin tool, created by Jim and Danielle from FreeFlow Labs:

  • Support for redis data structures
  • Pretty JSON formatting
  • Built on node.js
  • GUI commands labeled with their CLI counterpart
  • Command-line replacement with inline helpers
  • Real time updates. Who wants to keep refreshing the page or hitting a button/keystroke just to see changes?

There’s one thing I don’t understand though: reddish hosted model. Hosted monitoring services are OK. But a hosted admin tool doesn’t sound right.

  1. Based on the 3 screenshots shared in the post. I’d really appreciate an invite though.  

Original title and link: Reddish: A Visual Admin and Data Analysis Tool for Redis (NoSQL database©myNoSQL)

Tableau Software: The Good, the Tech, and the Bad

The good:

Christian Chabot[1]: “Every instance of people turning raw data into something useful includes turning it into a picture”

The tech:

VizQL, the visualization query language that powers the software, was developed at Stanford University by Chris Stolte and Pat Hanrahan, a founding employee at Pixar and the chief architect of that company’s RenderMan visualization and 3D rendering software—an effort that won him two Oscars.

The bad:

Unlike many emerging data technologies, Tableau was built for structured data—whatever fits nicely into rows and columns […]

As a final note, Tableau is able to draw some of the most beautiful graphics I’ve seen. They are much nicer even than Horace Dediu’s graphics.


Big Data Focus Shifting to Analytics and Visualization

Jeff Kelly:

To reiterate, there’s still plenty of work to do on the infrastructure layer of Hadoop and other Big Data approaches. But the focus of the Big Data industry is — and should be — moving to include analytics and visualization.

Differently put data is not the end goal.

Original title and link: Big Data Focus Shifting to Analytics and Visualization (NoSQL database©myNoSQL)


What Is Business Intelligence 3.0?

According to Bill Cabiro citing Tableau software the answer is visual analysis:

[…] visual analysis is not a graphical depiction of data. Virtually any software application can produce a chart, gauge or dashboard. Visual analytics offers something much more profound. Visual analytics is the process of analytical reasoning facilitated by interactive visual interfaces.

I’m not sure that a tool providing data visualization with investigative capabilities qualifies as a business intelligence solution. But I can agree it can be quite sexy for the C-level people.

Original title and link: What Is Business Intelligence 3.0? (NoSQL database©myNoSQL)


Data Scientist Summit Videos

After seeing the excerpt from Jonathan Harris’ talk at Data Scientist Summit I really wanted to post a link to some of the videos. But they are all behind a registration gateway. Just in case you want to watch them—there are indeed some interesting titles— you’ll find them here.

Original title and link: Data Scientist Summit Videos (NoSQL database©myNoSQL)

Splunk Wants to Webify Big Data

IT analytics company Splunk has received a patent for its method of organizing and presenting big data to mirror the experience of browsing links on the web. The patent validates Splunk’s unique approach to the problem of analyzing mountains of machine-generated data and hints at a future where writing big data applications doesn’t require a Ph.D.

So someone takes the philosophy of WWW and Semantic web, Sir Tim Berners-Lee’s linked open data star scheme, adds the BigData term and gets a patent? What’s next?

Original title and link: Splunk Wants to Webify Big Data (NoSQL databases © myNoSQL)


15 Views of a Node Link Graph: An Information Visualization Portfolio

An information visualization (a.k.a. infovis) classic:

Original title and link: 15 Views of a Node Link Graph: An Information Visualization Portfolio (NoSQL databases © myNoSQL)

The Protovis CouchApp

So you have lots of data, you’ve made some nice views on that data in CouchDB and want to visualise it. Sure you could use some server side scripts to take the CouchDB view out and make a plot, but that’s not cool these days.

Not very advanced, but still a nice CouchApp: ☞ live plots.

Original title and link: The Protovis CouchApp (NoSQL databases © myNoSQL)