Open Source Platform and Big Data: A Permanent Partnerships

The open source platforms are more user-friendly, have flexible schemes to choose before adoption and other advantages that have caught the eye of many companies.

FREMONT, CA: The platforms utilized for running big data are mostly conundrum. Big data and data science are two of the most significant business entities, and the majority of companies around the world have resolved to research to get ahead in the data curve. However, big data has shifted towards open source technologies. Companies of all scales are sharing databases, and scientists have said that is how it will stay.

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Open source platforms have gained more popularity among major companies, although closed source databases are still accepted among many. The fan base for the new platform has grown rapidly to catch up. It can be clearly stated that the growth in this pace will result in the open source being bigger than closed source.

This paradoxical growth isn’t by accident; there exist legitimate reasons as to why open source systems exploded. The primary factor is that it allows different people from diverse areas to effectively collaborate. When companies share workloads and enable other resources to contribute, the result will be the discovery of new possibilities. The development of technology is quick but not instantaneous. If companies attempt to solve the big data software by themselves without any external inputs, it would be a slow and painful process. Companies are looking to spread their data science departments and applications rapidly, but the talent pool and the technologies to do so, does not exist.

Smaller Businesses:

Companies often find themselves in a data lake once they start moving to utilize their data. With the lack of proper resources for several companies, the data is obsolete and useless. If the smaller companies were to pay for every bit of the software they utilize to put data to use, there would be a much-reduced value for the incentive to try to integrate big data into the workplace. Open source promotes a “try before you buy” service. For initiating the interest at first, those who want to stick to the open source software can enable the scheme before buying the entire project.    

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