Many DataSift customers use social data to gain a better insight in to their own customers and audience. A DataSift stream contains a huge amount of data and using simple aggregation, you can quickly build up a detailed picture of what people are talking about and what communication channels and devices they are using. This data can be incredibly helpful when considering where to invest advertising spend, device and application support and general CRM.

In previous examples, I have used a database to aggregate each data property and provide a simple dashboard. This process is effective, but time consuming to develop and repeat. The below screen shot is an example of such a dashboard:

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DataSift released a new Push API some time ago that offers direct delivery of data in to one of several endpoints. So far, connectors for FTP, Dynamo DB , S3 and HTTP POST have been released, and several more are on the way (Mongo DB, Couch DB, Splunk etc). The Push delivery option supports some great features including the ability to set the payload size, delivery frequency, and also providing the ability to pause a delivery. Each push delivery comes with a  1 hour buffer capability, meaning consuming the data becomes a lot more flexible. The Push API can be used for both real-time and historic data consumption.

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Recently I have been playing with Mike Bostock’s D3.js and continue to be impressed with different examples of how people are visualising data. D3 provides an incredibly rich library, although with a relatively steep learning curve, the results can be fantastic.

I decided to mix the real-time data source of DataSift data with a volume/time graph example from the D3 library. I added a simple UI and real-time rendering using Node.js, Socket.io and  Express to allow the user to enter their stream credentials. The finished example is as follows:


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DataSift data can be exported from both recordings and historics in either JSON or CSV formats. Depending upon your filter  definition, the fields within the resulting data will vary, therefore making importing the data in to a database such as MySQL a little time consuming.

The below PHP script automatically generates the CREATE TABLE command, along with the LOAD DATA INFILE command, allowing you to create a new table, and import the data quickly and easily.

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Working at DataSift, I speak to many different clients and discuss their use cases regarding what type of data they would like to filter on, and include within their real-time data streams. I thought it would be useful to start capturing many of the common use cases in a single post and explain how these translate in to Curated Stream Definition Language (CSDL). If you are new to DataSift and or CSDL, the DataSift documentation is great and growing all the time, and this post should give some useful examples.

I will be adding to this post as and when I capture new examples. Please feel free to submit your own if you feel they will be beneficial to others.

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Web Quick Start Videos

November 26, 2010

The following are short (less than 10 minutes) introductory videos to features of the Alfresco Web Quick Start. I plan to record several over the next few weeks covering topics such as installation, renditions, asset collections, user generated content, publishing etc.

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Web Quick Start – First Look

September 9, 2010

Comments now closed – please use the forum.

Documentation – Documentation is in progress and forming here: Web Quick Start Developer Guide , Web Quick Start Install and Config Guide, Web Quick Start User Guide.

UPDATE: Alfresco 3.4.a Community is now available including the Web Quick Start AMP files and web application. See alfresco-community-wcmqs-3.4.a.zip here or the QS is listed as an install option from the main Alfresco installers e.g. alfresco-community-3.4.a-installer-win-x32.exe.

We have just merged the Web Quick Start (QS) files to HEAD in preparation for the 3.4 Community release at the end of September. Once complete, the QS will have its own installers and documentation, however I thought I would provide a quick overview of some of the features that the QS provides for those who want to take an early look.

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As with anything within the HEAD code line, it comes with a warning that this is work in progress, and is subject to regular change.

What is the Web QS?

The Web Quick Start is a sample application built on the Alfresco platform. It provides an end-to-end WCM example including an authoring and publishing environment using Alfresco Share and a web application built using Spring MVC, Spring Surf and OpenCMIS. The web site is delivered dynamically using Alfresco as a CMIS runtime.

The primary design goals of the QS are to illustrate the power of the Alfresco platform in an easy-to-install package and to provide developers with a strong starting point for their Alfresco implementations. Both of these goals are fundamentally aimed at getting both business people and developers up and running with the Alfresco WCM platform in as short a time as possible. The Alfresco core product has not been changed in any way, just extended by plugging in content model, behaviours, workflows, etc using the many standard hooks provided by the Alfresco product.

The QS website will eventually be available in three flavours for different vertical markets, however the version in HEAD currently is loosely modelled on a Finance news site, but with the intention that this can be re-purposed very easily.

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Below are the slides from the Alfresco WCM Roadmap webinar that covered:

  • Release Schedule
  • WCM Quick Start
  • Project “Cheetah”
  • Project “Swift”

The webinar can be viewed here.

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I have been receiving a steady stream of questions around Web Studio and enquiries around our strategy for future releases with regards to similar functionality, so thought it would be helpful to discuss the product focus.

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Here are my slides from last weeks TTL on the Web Editor.