Open Sourcing the Data Driven Revolution
In this special guest feature, Philippe Very, Lead Data Scientist at Sidetrade, discusses the importance of open source as a business opportunity to accelerate the implementation of innovative solutions for the enterprise. Open Source breaks down the boundaries of public organizations or corporate Information Systems Divisions to democratize the access of technology at a larger scale and accelerate the implementation of innovative solutions in companies. In one word, Open Source becomes a strategic key to the digitalization of processes.
Open Source helped to provide promising ground for digital transformation. Not too long ago open source transformed software and now it is having an impact in larger areas of business. However, it is important to note that this generation dates back much further than the Big Data revolution that is being promoted today.
Open source refers to software licenses that can be redistributed and used to create works. The code is made available for the public and can often end in collaboration between programmers.
Today, Open Source licenses benefit to all sectors: server environments, component areas, engineering tools, networks and security solutions, and so on.
Open Source licenses have largely been promoted and used, first by public organizations, then by private companies. This model allows a simplified access to recent technologies, to create web applications for example, but also to manage databases and in scientific computing. Today, there is a massive stream of data coming from social networks, websites, mobile apps, cyber commerce, CRM and ERP. To process, clean and analyze this data, companies have an increasing need of powerful technologies. To answer to this need, “NoSQL” software and technologies editors working around Big Data, like DataBricks or Cloudera, are drastically turning to Open Source.
Open Source licenses, because of the freedom and the simplicity they offer, represent a true opportunity for Data Scientists.
