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Reliable big data analytics tool

PhD Data Data analysis

My research field is big data. I’m stuck in choosing the reliable tool for my study. With so many big data tools available out there, I do not know which one is more reliable. Any opinions?

All Answers (5 Answers In All)

By Nidhi S Answered 5 years ago

Pragya, I had used HPCC. This is a very good big data analytic tool. It has a single architecture and delivers on a single platform. Also this tool uses a single programming language for data processing. Some of the features of HPCC are: 1.Highly efficient to accomplish tasks with far less code 2.Offers greater redundancy and availability 3.Can be used for complex data processing 4.Consists of graphical IDE for testing and debugging 5.Automatically optimises code for parallel processing 6.Provides improved scalability and performance

By Kamlesh Meena Answered 5 years ago

Pragya, as suggested by Nidhi, HPCC is a good tool. But the most popular and efficient tool in big data is Hadoop. Hadoop authenticates improvements while using HTTP proxy server, supports POSIX-style file system’s extended attributes, offers robust ecosystem that is suited to meet the analytical needs, provides flexibility in data processing and allows for quick data processing.

By Kriya Answered 5 years ago

Why not go for Statwing? It is an easy-to-use big data analytical tool. The best feature of Statwing offers is that it can explore any data in seconds. It also helps to explore relationships, clean data, and create charts very easily.

By Sapna C K Answered 5 years ago

I would suggest you Hadoop. Nothing can beat Hadoop. Name2 has already mentioned its feature. If you want to know more read https://www.edureka.co/blog/what-is-hadoop/.