Data science is continuing to gain traction as a field over the past several years and is now an intrinsic aspect of business strategy for many leading companies around the globe. With the changes in enterprise data science, new and innovative tools for data scientists are also emerging to help to solve complex problems. There are Data Science tools for diverse purposes like building models, high-value customer retention and effective product recommendation and above all, custom app development.
Unlike the proprietary data science solutions that were most popular across enterprises, now open source projects such as TensorFlow and Spark are becoming more popular. Actually these open source data science tools open up endless opportunities for collaboration.
Data science as it exists now is now unthinkable without the open-source software. Obviously, the coming of Apache Hadoop as a leading framework for data processing helped change the game altogether. These tools basically helped companies dealing with complex data that could not be done earlier because of constraints like cost, storage, processing and analysis to be done in proprietary data environments. Apache Hadoop and Apache Spark framework with its in-memory data processing capability and an array of projects pertaining to data processing and machine learning completely changed the game.
Let us have a look at some of the key advantages of Open Source Data Science projects and tools.
Programmers and data scientists univocally prefer open-source languages because if the robust scope of innovation based on collaboration. The popularity of R and Python in recent years is proof of this. Open-source tool development has ensured a culture of collaboration to foster innovation in a collective way. In fact open-source solutions have played a central role in incorporating new data science capabilities to the existing platforms. Moreover, open-source is a culture that has its roots in academia and research and the academic strength can always ensure validation.
The collaborative development offering great pace helps to nurture innovative capabilities in a better way than the traditional development with constraints of the proprietary boundary. The open-source platforms help enterprises capitalizing on advanced technology and systems. Most importantly, by being freely available open-source software is able to gain traction with large communities and thus creates chances for more people to take part in innovation.
Open-source software helps enterprises to start working with Data Science projects without making any big investment through up-front support or cost of licensing. Thus open-source data science can play a great role in making AI and machine learning-based projects that are economically viable. Moreover, it is easier to employ experienced professionals with their open-source background since many such open source languages like R are taught in IT schools.
Open-source software products can easily be customized and the same rule goes to open-source data science projects. This allows even individuals to take care of proper version-control and corresponding endeavours for maintenance. This becomes extremely easier from the maintenance point of view as and when the software is used by big enterprise teams en masse.
Do you want to know about some of the most commonly recommended and useful open-source data science tools? Well, here we have picked quite a few of them.
As it is evident from the above description, open source is a key environment or enterprise data science projects now. Whether the variety of open-source tools and the extensive range of enterprise data science platforms, all of them rely on open source languages and tools. The actual challenge for the dedicated developers is to know the useful and relevant tools for a business which requires an assessment of the projects, evaluating the licensing issues, and evaluating the required skill set for the involved team
WRITTEN BY: Atman Rathod
Atman Rathod is the Founding Director at CMARIX Technolabs Pvt. Ltd., a leading web and mobile app development company with 17+ years of experience. Having…
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