Talend Blog

IoST and IoUT: Why They Matter for IoT Growth

June 23, 2016 - Chris Harrold

Recently, I was fortunate enough to find myself in Munich, Germany during a trip to visit with family and discovered that just north of town is the city of Ingolstadt, which is home to the Audi factory. Being somewhat of a gear-head and very much an Audi fan, I decided to take the factory tour and check out the museum (I essentially got a private tour as I took the English version and it was only my wife and I on it - HIGHLY recommend it!). 

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Complex Generation and Distribution of Documents with Talend

June 17, 2016 - Jan Lolling

In this post, I would like to cover the possibilities we have to build complex document generating systems. Actually formally a domain of expensive software like Adobe Publisher. With Talend Open Studio and JasperReports you are able to create such a system.

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The Evolution of ETL and Continuous Integration

June 15, 2016 - David Wilmer


In the beginning of ETL….

When I started my IT career over 15 years ago I was nothing more than a “Fresh-out” with a college degree and an interest in computers and programming.  At that time, I knew the theories behind the Software Development Life Cycle (SDLC) and had put it to some practice in a classroom setting but, I was still left questioning how it relates to the big, bad corporate world.  And by the way, what the heck is ETL?

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Spark Summit West & Apache Spark 2.0—An Electrifying Week in Big Data

June 14, 2016 - Laurent Bride

With the release of Apache Spark version 2.0 out in preview, there has been a lot of buzz recently about the implications of this advanced technology. Nowhere was that more apparent than in San Francisco this week where Spark Summit West drew a sold-out crowd of 2,500 software developers and data scientists, according to host and Spark cloud service provider Databricks.

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Moving Data to the Coalface to Achieve Business Success

June 08, 2016 - Jean-Michel Franco

Self-service data preparation, which we define as empowering business workers and analysts to prepare data for themselves prior to analysis, is often cited as the next big thing. In fact, Gartner predicted last year that “by 2018 most business users and analysts in organisations will have access to self-service tools to prepare data for analysis“.

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Talend Integration Cloud & AWS: 3 Ways to Automate Big Data (Part 2)

June 02, 2016 - Mark Balkenende

In our last installment, we looked at how to easily configure your data warehouse or datamart to spin up and spin down automatically so that you don’t need to waste valuable compute resources (or money!) running databases when they’re not in use. Now let’s take a look at how you can automate your AWS Redshift cluster environments.

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How to Aggregate Clickstream Data with Apache Spark

June 01, 2016 - Ofer Habushi

As part of a POC of Talend v6.1 Big Data capabilities, I was asked by one of our long-time customers, a major e-commerce company, to present a solution for aggregating huge files of clickstream data on Hadoop. 

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The Lambda Architecture and Big Data Quality

May 31, 2016 - sebastiao correia

In my previous post about data quality in the Big Data era, we've seen some of the challenges raised by the recently born data operating system that came with Hadoop 2.0

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Talend Integration Cloud & AWS: 3 Ways to Automate Big Data (Part 1)

May 27, 2016 - Mark Balkenende

Have you ever stood up a datamart that was needed to build a handful of analytical reports, but then that repository sits idle until the next time those reports need refreshing (which may be a week, a month or several months…)?  At many points in my career I have built data warehouses and datamarts for that exact scenario and have been frustrated by the length of time that database sits idle…it seemed like such a waste or energy and technical resources.  

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Career Opportunities in Talend for Big Data: Your Guide to Bagging Top Talend ETL Jobs

May 13, 2016 - Guest Bloggers

With the world becoming more connected and data savvy with every passing year, there’s a rising need for businesses to efficiently manage the trillions of bytes of data that they capture, and gain insights from them. Talend helps businesses do exactly this while boosting developer productivity and reducing time-to-value for ETL data warehouse projects. Talend for Big Data is seeing rapid growth, emerging as a must-have tool for quickly and effectively cleansing and analyzing Big Data.

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Talend and “The Data Vault”

May 12, 2016 - Dale Anderson

In my previous blog “Beyond ‘The Data Vault’” I examined various data storage options and a practical architecture/design for an Enterprise Data Vault Warehouse.  As you may have realized by now I am quite smitten with this innovative data modeling methodology and recommend to anyone who is developing a ‘Data Lake’ or Data Warehouse on Big Data platforms consider this as a critical design paradigm.

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Stop Chasing Perfection in Analytics. Here’s Why.

May 09, 2016 - Chris Harrold

I wrote a blog around another favorite topic of mine, DevOps, a while back and in it I discussed the notion of perfection being the enemy of ‘good enough’. After some conversations these last few weeks, I have reaffirmed my stance and broadened it to include everything, especially analytics. 

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Introduction to Apache Beam

May 02, 2016 - Guest Bloggers

This blog is the first in a series of posts explaining the overarching goal and purpose of the Apache Beam project. In the future blogs, we will explain how to use Apache Beam to implement data processing jobs.

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Making Sense Out of the Big Data Tangle

April 25, 2016 - Zeeshan Javeed

Our Puzzled Customers

In this era of Big Data, many of the IT people I talk with have a number of questions about the technology and trends associated with this new paradigm. 

For example, many of them are feeling somewhat overwhelmed with the amount of data they now have to deal with – data that seems to be growing exponentially. 

Many of the comments I hear go something like this: “I never thought we would be swamped with so much information. Are there Big Data solutions available now that can help me deal with this deluge of data?” 

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