Talend Blog

Step-by-Step: Constructing a Job in Talend Open Studio

February 12, 2016 - Talend Tech Team

Did you know a commercial airplane generates on average 500 GB of data per hour when flying? Taking into account the number of hours an airplane can fly per day and the flights operated on a daily basis, this creates huge volumes of data that need to be processed. We have good news for airline companies: Talend can help! The data warehouse project, described in this video, details how to build a data warehouse around airline flight performance data.

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Good News Marketeers! Your Day Job Just Got a WHOLE lot Easier

February 11, 2016 - Charlotte Cornavin

Picture this: You just got back from a week in Vegas staffing yet another industry tradeshow. You’re exhausted, completely backlogged on email and other projects, and you have boatloads of new leads that need to be validated and entered into the CRM system….

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Data Prep 101: Getting Started with Talend Data Preparation

February 10, 2016 - Mark Balkenende

How many hours have you slaved away in MS Excel changing fields like customer name or address because you need to blend the two and your CRM or SFA doesn’t format data fields in the same way?

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Clean and Actionable Data 1 Click away

February 09, 2016 - Jean-Michel Franco

Self-service data preparation, which we define as empowering business users and analysts to prepare data for themselves prior to analysis, is often cited as the next big thing. In fact, Gartner predicts that “by 2017 most business users and analysts in organizations will have access to self-service tools to prepare data for analysis”. To me, this sounds like a wake-up call for IT professionals.

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Big Data and the Big Game: Super Bowl 50

February 03, 2016 - Isabelle Nuage

It’s almost time for the big game–the one and only, Super Bowl—and this year promises to be even bigger and better than ever. Super Bowl 50 takes place Feb. 7, 2016, at Levi's Stadium in Santa Clara, California, where 75,000 people are expected to cram in for the game. But even more than that number are expected to be watching from home or elsewhere via broadcast and online.

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3 Trends Behind the Movement to Real-Time Data

February 02, 2016 - Ashley Stirrup

February is here and it seems that everyone has made their predictions (even me!) for what’s ahead for technology in 2016. As I read through the various predictions lists, I started discovering a common theme: the inclusion of real-time data initiatives as a main priority for IT. Real-time streaming data and analytics is rapidly becoming the lifeblood of today’s data-driven economy. Why? Because your customers live in an age of information immediacy.

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Talend Connect 2015: Rethinking Dataarticle in French

January 29, 2016 - François Mero

The last quarter of 2015 was marked by our 7th annual user conference, Talend Connect. After day one, which focused exclusively on retail partners and integrators, the user conference continued with some 300 participants heeding Talend's call, including customers, sponsors, exhibitors, journalists and analysts, to name a few.

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3 Cloud Trends to Prepare for in 2016

January 26, 2016 - Ashwin Viswanath

With the rapid changes to SaaS applications and cloud platforms taking place today, the area of cloud integration is now in constant flux. Years ago, cloud integration used to be seen as a tool that accomplished a simple use case, such as replicating SaaS data to an on-premise database for analytics. However, with the innovations taking place in the cloud with regards to analytics, big data, and application development, the very nature of cloud integration is changing.

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WADL and Swagger United in Apache CXF

January 22, 2016 - Talend Community Coders

A Talend Community Coders post brought to you by: Sergey Beryozkin

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Talend Joins Google to Propose Dataflow as an ASF Incubator Project

January 20, 2016 - Laurent Bride

Hadoop and the broader Big Data ecosystem continue to innovate at an incredible rate. By harnessing the power of the community and creating a survival-of-the-fittest competitive landscape, the open-source development approach helps not only fuel the pace of innovation but also drive buyer confidence and market adoption.

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All Talend MDM Users Can Now Help Create a Golden Record

January 18, 2016 - Talend Tech Team

At Talend we feel the need for a single view of the customer has reached a whole new level. And Talend 6 is introducing a very powerful tool that will empower all MDM users to create a golden record that will make every customer interaction personal.

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My Challenge to Informatica: Let’s Play

January 14, 2016 - Mike Tuchen

You may have read some of the back and forth between Talend and Informatica regarding Talend’s big data speed benchmark against Informatica.

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Talend’s Benchmark Against Informatica – Setting the Record Straight

January 14, 2016 - Laurent Bride

We recently published a benchmark comparing Talend Big Data Platform to Informatica Big Data Edition, showing the performance benefits of our native Apache Spark approach over Informatica’s solution.  Informatica responded with a rebuttal that combines some good points along with some claims that are either misleading or completely false.

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Start Easily Using Apache Spark With Talend 6!

January 11, 2016 - Talend Tech Team

If you have worked with any type of new software you know those first few moments are always challenging. There’s always that learning curve you have to go through before being able to fully leverage the product’s capabilities.

Therefore we understand it’s equally challenging to learn a new development framework, such as Apache Spark. With Talend 6 however we’ve made it easy for you to convert an existing Map Reduce job to a Talend Spark job.

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How To Turn Any Big Data Project Into a Success (And Key Pitfalls To Avoid)

January 07, 2016 - Bernard Marr

Guest Blog by Bernard Marr, Founder and CEO of The Advanced Performance Institute

I could start this article by saying that Big Data is taking over the world, spreading into every industry and that if you aren’t “doing it”, you’re going to be a dinosaur destined for extinction. That’s how hundreds of other articles that have been written about Big Data in business over the last few years have started. And many of them are fine articles filled with useful information.

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