Data Management with Open Source

Hadoop big name can not be underestimated in the development of open source software technology in the world. Open source is a prima donna for some circles, including in Indonesia. Doug Cutting as the founder of Hadoop has seen the popularity of open source software for a long time.

"I think, Hadoop will not only be popular as software but also open source," said Doug, met Republika in an Exclusive Media Interview with Cloudera in Jakarta, some time ago. Open Source or open source is superior because it has some appeal, one of which is cost efficiency.

Doug reveals, Hadoop excel in performing data management. Like how open source works in general, Hadoop is a system developed for the cooperation of its users in utilizing the source code (source code). The availability of open source is quite free, and uses the internet facility to run it.

Hadoop is far superior because it continues to innovate and develop engines in the use of open source. This year, the use of machine learning or learning machine will become the trend of open source in doing management and data processing. Hadoop has already begun to implement the technology.

"The more wearing, the machine's intelligence will certainly be greater and increased," Doug said. Before getting the contribution of learning machines, open source is considered superior. Hadoop's fame is evident when open source is much favored. When open source gets learner engine support, the data collaboration will be much greater so that the analysis is much more accurate.

Related to security, it is difficult to find cyber crime at the beginning of the construction of a system. Usually, this type of attack is detected after a technology is born so it is not easy to predict it. But open source does not mean not fortify the system from cyber attacks. The open source platform players already have their own security system.

Doug then developed Hadoop by partnering with Cloudera as a partner in managing Big Data technology. "It's no easy thing to join Cloudera, it takes about a year for them to make me confident to work together," continued Doug who currently serves as Chief Architect of Cloudera.

At first, Doug did not believe Cloudera's technology could be combined with Hadoop. But after explaining various research, Hadoop joined Cloudera since 2009 ago. To date, the collaboration has generated a marked growth in use and technology. The use of machine learning also makes it much more efficient.