What are all the big data solutions?

In the information age, we always hear some new words, such as big data, the Internet of Things, artificial intelligence and so on. And now, the Internet of Things, big data, artificial intelligence has come into our lives, for many people to see the prospects of big data and thus into this industry, for the analysis and solution of big data is that many people do not know much about it, so what are the solutions for big data? Generally speaking, big data solutions are Apache Drill, Pentaho BI, Hadoop, RapidMiner, Storm, HPCC and so on. The following will give you an explanation of each of these solutions.

The first thing to say is Apache Drill. this program was created to help business users find ways to query Hadoop data more efficiently and faster. This project helps Google enable analytical processing of massive datasets, including analyzing crawled web documents, tracking data from apps installed on the Android Market, analyzing spam, analyzing test results on Google's distributed build system, and more.

The second thing to say is Pentaho BI. The Pentaho BI platform is different from traditional BI products in that it is a data process-centric, solution-oriented framework. Its purpose is to integrate a series of enterprise-class BI products, open-source software, APIs and other components, which facilitates the development of business intelligence applications.Pentaho BI, so that a series of independent products for business intelligence such as Jfree, Quartz, etc., can be integrated together to form a complex, complete business intelligence solutions.

Then there's Hadoop, a software framework for distributed processing of massive amounts of data. But Hadoop does this processing in a reliable, efficient, and scalable way. Also, Hadoop relies on community servers, so Hadoop is relatively inexpensive and can be used by anyone.

Next on the list is RapidMiner. rapidMiner is the world's leading data mining solution with advanced technology. rapidMiner data mining tasks cover a wide range of data arts and simplify the design and evaluation of the data mining process.

Storm. Storm is free and open source software, a distributed, fault-tolerant real-time computing system.Storm can very reliably handle huge streams of data for processing bulk data in Hadoop. Storm supports many programming languages and is very fun to use.Storm is open sourced by Twitter and other well-known application companies include Groupon, Taobao, Alipay, Alibaba, Admaster, and more.

The last thing I want to talk about is HPCC, what is HPPC? HPCC is an acronym for High Performance Computing and Communications (High Performance Computing and Communications), and the main goal of HPCC is to: develop scalable computing systems and related software to support terabit-level network transmission performance. Develop gigabit networking technologies to expand the capabilities of research and educational institutions and network connectivity.

Through the above, I think you must have known the big data solutions, the world currently has a greater variety of big data solutions, only to develop and use the most advanced, most complete big data solutions, a company, or even a country can walk in the forefront of the world.