In our last blog, we talked about developing data processing jobs using Apache Beam. This time we are going to talk about one of the most demanded things in modern Big Data world nowadays – processing of Streaming data. The principal difference between Batch ...

The appearance of Hadoop and its related ecosystem was like a Cambrian explosion of open source tools and frameworks to process big amounts of data. But companies who invested early in big data found some challenges. For example, they needed engineers with expert knowledge not only on distributed systems and data processing but also on Java and the related JVM-based languages and tools. Another issue was that the system constraints at the time were constantly evolving as new systems appeared...

This blog post is part 1 of a series of blog posts on Apache Beam. Are you familiar with Apache Beam? If not, don’t be ashamed, as one of the latest projects developed by the Apache Software Foundation and first released in June 2016, Apache Beam is still relatively new in the data processing world. As a matter of fact, it wasn’t until recently when I started to work closely with Apache Beam, that I loved to learn and...

Open source software (OSS) just celebrated its 20th anniversary and not only does the community have a lot of milestones to celebrate, but also a lot to which they can look forward! OSS continues to disrupt the status quo in groundbreaking ways, but it’s also becoming increasingly mainstream. Thus, if you’re an IT leader of any-sized organization, you should be thinking about and planning for how to incorporate OSS into your infrastructure. Among the hundreds of popular open so...

The concept of cloud computing has been around for years, but cloud services truly became democratized with the advent of virtual machines and the launch of Amazon Elastic Compute in 2006. Following Amazon, Google launched Google App Engine in 2008, and then Microsoft launched Azure in 2010. At first, cloud computing offerings were not all that different from each other. But as with nearly every other market, segmentation quickly followed growth. In recent years, the c...

Cloud computing in the form we understand today started around 10 years ago, with the launch of Amazon Web Services (AWS). This was the first commercially viable option for businesses to store data in the cloud rather than on-premise and acted as a shared service for anyone connecting to the platform. Early stage cloud computing was certainly more technical than it is now. However, no more than managing a data center – something that IT departments at the time were well used to. Any...

In early 2016, the International Consortium of Investigative Journalists (ICIJ) published the Panama Papers –one of the biggest tax-related data leaks in recent hi...

When it comes to solutions for the big data sector, there is a clear split between the legacy and next-generation approaches to software development.  Legacy vendors in this space generally have their own large internal development organizations, dedicated to building proprietary, bespoke software. It’s an approach that has worked well over the years. However, the big data market has always moved at lightning speed, a...

This blog was originally published by Anand Iyer & Jean-Baptiste Onofré [@jbonofre] on the Apache Beam blog...

At Talend, we like to be first. Back in 2014, we made a bet on Apache Spark for our Talend Data Fabric platform which paid off beyond our expectations. Since then, most of our competitors tried to catch-up… Last year we announced that we were joining efforts with Google, Paypal, DataTorrent, dataArtisans and Cloudera to work on Apache Beam which si...