Talend Blog

Bootstrapping AWS CloudFormation Stacks with Puppet and Structured EC2 User Data

September 3, 2015 - 06:21 - Stefan Baryakov

The purpose of this blog is to provide practical advice on how to approach application bootstrapping on AWS using CloudFormation, Puppet, Hiera and Serf. To obtain the most benefit from the blog, you should be technically familiar with these four technologies.

High level tasks include:

  1. Create the your CloudFormation template
  2. Install and configure software on the instances
  3. Connect instance to other instances in the stack 

Creating the CloudFormation template

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Focus IT development on the user experience while improving the developer/designer relationship

August 26, 2015 - 07:31 - Marc Maillart

Until recently, developing a user-friendly product rarely made the priority list of software makers. IT engineers were more concerned with the service to be rendered than they were with the usability[1] of their software. Packing a product with features was more important than making it easy to use. But at a time when IT products are a dime a dozen, we are now entitled to the same convenience and ease of use with business applications that we enjoy with mainstream products.

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Talend – Implementation in the ‘Real World’: Data Quality Matching (Part 2)

August 21, 2015 - 05:32 - adam pemble

First an apology: It has taken me a while to write this second part of the matching blog and I am sure that the suspense has been killing you. In my defence, the last few months have been incredibly busy for the UK Professional Services team, with a number of our client’s high profile projects going live, including two UK MDM projects that I am involved with.

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Beyond “The Data Vault”

August 14, 2015 - 00:00 - Dale Anderson

In my last blog “What is ‘The Data Vault’ and why do we need it?” I introduced a fresh, compelling methodology for data warehouse modeling authored and invented by Dan Linstedt (http://danlinstedt.com) called ‘the Data Vault’.  Solving the many characteristic and inherent problems found in crafting an Enterprise Data Warehouse (EDW), I discussed ho

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Talend and the Gartner Magic Quadrant for Data Integration Tools – Less than a whisker from the leader’s quadrant

August 11, 2015 - 06:44 - Ashley Stirrup

Why you should consider the emerging leader

When it comes to Talend, prospective customers have a favorite question they like to ask analysts:  “If I can get all of this from Talend at a fraction of the cost of the big guys, what am I really missing by not going with bigger vendors?”

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On the Road to MDM

August 6, 2015 - 06:49 - mark chapman

Think big, but start small.  This is particularly good advice if you plan on implementing a master data management (MDM) system any time in the near future.

MDM is an extremely powerful technology that can yield astonishing results.  But like any complex, highly effective discipline it is best approached systematically and incrementally.

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OSGI Service Containers

August 4, 2015 - 07:06 - edward ost

The first post in this series provided a look at the definition of a Container.  The second post in the series explored how Platforms leverage Containers to deliver SOA design patterns at internet scale in the Cloud.  This post presents a simplified example of applying Container architecture for extensible business infrastructure.  It then addresses

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Surprising Data Warehouse Lessons from a Scrabble Genius

July 27, 2015 - 06:07 - Dominic Tavassoli

Lessons in data warehousing and cloud data integration can come from unexpected places. Consider: the latest French-language Scrabble champion doesn’t speak French.

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Hadoop Summit 2015 Takeaway: The Lambda Architecture

July 15, 2015 - 06:42 - Laurent Bride

It has been a couple of weeks since I got back from the Hadoop Summit in San Jose and I wanted to share a few highlights that I believe validate the direction Talend has taken over the past couple of years.

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Data Preparation: Empowering The Business Userarticle in German

July 10, 2015 - 06:03 - christophe toum

A growing number of business users with limited knowledge of computer programming are taking an interest in integration functions and data quality, as companies become more and more “data-driven”. From marketing to logistics, customer service to executive management, HR to finance, data analysis has become a means for all company departments to improve their process productivity and efficiency.

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