RapidMiner
RapidMiner is an integrated data science software platform i.e. basically a software center that integrates all data science work. It includes integrating and scrutinizing data from different informants, coding, and developing models that leverage that data, avails those models for fabrication, and sum up the results, through model-powered applications or documents.
RapidMiner has an excellent feature of providing an effortless solution which makes it easier for modern analysts to carry out predictive analytics. This programming language is relevant for business, research, training, and commercial applications along with many other areas. It aims to equip a unified environment for data preparation, machine learning, deep learning, data mining, and others.
The platform improves the development of the analytical system from data formulation to machine learning to establish an environment. It also intends to upgrade the efficiency and reducing the time, in turn enhancing the project value. The platform is developed on an open core model and elevates the productivity of the data mining team by an open-source platform by providing users with- RapidMiner Studio, Server, and Radoop.
RapidMiner Studio
It is a dynamic visual workflow designer tool that works swiftly towards constructing predictive analytic workflows. This is a versatile tool that emphasizes on data preparation and ML algorithm for providing the support to data science projects. It has the potential prospects to reach for any data sources of any format and enabling data exploration. It also allows Data Cleansing, Combining, and exploration. It constructs and provides a better model in a faster and well-organized manner.
RapidMiner Service
It makes effortless dispense, restate, and operationalize the predictive models along with the creation of results in RapidMiner Studio. It assists teamwork and allows the rapid application of results due to the availability of central repository & management which is focused on enhancing computation power and flexible deployment. It has the potential to trigger event-driven model execution along with managing models and security. It can also be implemented on business hardware from any geographical location as well as consist of Shared server-based repository that provides user-friendly dashboards and security services.
RapidMiner Hadoop
It executes Hadoop by undertaking RapidMiner Studio, providing the value of users data for a great many machine learning applications. It aims to reduce the complexity of Hadoop, enhances time to value along with ensuring security. It supports SparkR, PySpark, Pig, and HiveQ scripts. RapidMiner also consists of incorporated intelligence that transforms workflows into Hadoop.
According to Gartner, RapidMiner is stated as a leader for the fourth year in a row. Gartner identifies Leaders as having the highest combined scores for the Ability to Execute and Completeness of Vision. It has been acquired by hundreds of thousands of active users. It has been expanding dramatically turning out to be one of the best data science platforms available and said to deliver game-changing expertise for the predictive analytics community.
Advantages Of RapidMiner:
RapidMiner is quick at reading all kinds of databases. We read and merge databases like SQL Server, Informix, MySQL, and Oracle. Design access is easy, some drivers are inbuilt, but it’s not difficult to find new java drivers to allow RapidMiner to connect to other databases.
Performing all kinds of transformations, calculations (date, percentages…), joins, and filters without coding. We have several different databases and this makes life a lot easier. Knowing that this part is analyst work, you know that you can work more on the analyses itself and not on cleaning and preparing data.
You can clone transformations to reuse on new analyses, so you save a lot of time. A lot of add-ons are there to make different things more simple & flexible (text, image analysis, recommender systems, etc).
Training is easy, the tool is intuitive and there are a lot of videos on the internet. The community is very active.
The disadvantage of RapidMiner:
Sharing RapidMiner Studio analysis is not easy. It’s more automated job-oriented or useful to run models on a web site. If you need to use it for Business Analytics dashboards, this is not the tool. It’s more a backstage tool for analysts. Some charts are good but other not so much.
The free edition allows you to work with 10,000 rows, but if you need more, it’s not cheap (100,000 rows – 2,500 USD/year, 1,000,000 rows – 5,000 USD/year).
Conclusion
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