Today, Docker or Kubernetes are obvious choices. But, back in 2015, these technologies were just emerging and hoping for massive adoption. How do tech companies make the right open source technology choices early? As a CTO today, if you received an email from your head of Engineering saying, “Can we say that Docker is Enterprise production ready now?,” Your answer would undoubtedly be “yes”. If y...

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...

This post is co-authored by Jorge Villamariona and Anselmo Barrero at Qubole. A popular term emerging from the software industry over the last few years is serverless computing, more commonly referred to as just “...

In 1998, Netscape decided to release their source code in an effort to attract new users to their product and new developers who could easily integrate applications with the browser.  At the same time, there seemed to be a groundswell around a culture of open and collaborative development, with legacy software companies beginning to ack...

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...