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 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.
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.
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
Talend and the Gartner Magic Quadrant for Data Integration Tools – Less than a whisker from the leader’s quadrant
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.
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
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.
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.
In part I of this two-part post, we learned why the IT architecture supporting modern business feels bloated when cloud computing was supposed to be a liberating, game-changing paradigm instead, and why it is critical to address this issue as soon as possible.