Openfea is a one-stop big Data agile analysis system, integrating memory computing, cluster computing, machine learning, interactive analysis, visual analysis and other technologies, including data collection, data exploration, build models, model release and other functions, analysis performance, easy to use, Big data analytics can be quickly implemented without complex programming, enabling data analysts to boost data and shape business benchmarks.
Data Collection
Openfea can combine more types of data to perform operations, supporting relational data sources, Hadoop data sources, data files, and third-party data sources.
bidirectional custom mechanism supporting data source and interface/format. represents a variety of complex structures or load and store types of data sources, easy to worry about.
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Data exploration
Openfea through interactive analysis, data processing, visual analysis and other exploratory analysis methods, can quickly distinguish and excavate the data patterns and characteristics and laws.
1, not like pig, is worth the analysis of Pig's original language
Atomic input, analysis results lidengkequ
2. Powerful data processing capability
Regular expressions, lambda functions, character processing functions, vector operations, to ensure the authenticity of data, the removal of noise data.
3. Visual analysis
With unique data perspective algorithms, you can analyze massive amounts of data and continue the operational habits of industry experts in analyzing data through Excel.
Model building
Openfea uses mathematical statistics, machine learning and other methods to build analytical models.
1. Mathematical Statistics
Run mathematical statistics functions to find out the inherent regularity of data.
2. Machine learning Algorithm
Linear regression, nonlinear regression, logistic regression, naive Bayes, support vector machine, decision tree, KNN, boosting, Kmeans clustering, hierarchical clustering, principal component dimensionality reduction analysis, Apriori Association algorithm, Arima time series analysis, multidimensional Analysis, mean shift clustering, propagation clustering, density clustering , Spectral clustering ...
3. User-defined Frame
Based on Python, the user is supported to customize and add model algorithms.
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Release model
Openfea is a combination of scripts, cluster operations, and scheduling controls to publish analytic models.
1. Openfea Script
Throughout the analysis process, do not need to use Java, C rewrite algorithm, do not need to use r language, MATLAB and other data exploration, do not need to repeat the analysis of the scene.
2, cluster operation Mr
The big is small, divide and conquer.
3. Dispatch control
Second-level scheduling with higher accuracy.
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visual display
Display a variety of ways, to provide panel design, interactive applications, multi-level interaction and other personalized tools.
1. Visual graphics
No need to access BI tools, nearly 30 graphic styles can be generated either through a plot primitive or by manually selecting the drawing at the visual interface.
2, Dashboard Design
A prerequisite for building a complex, multidimensional visual presentation interface.
3. Interactive Application
More attention to the experience of the data interaction and product use, to achieve effective information transmission, to achieve the purpose of display, intuitive, easy to operate, easy to understand.
4. Deep interaction
On the rebound drill, layer drilling, master-Slave linkage, multi-screen interaction.
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Analytics portal
Openfea not only can show the results of analysis in real time, but also take humanization as the starting point, emphasizing "people-oriented" and supporting users to show big data in a more personalized way.
1. Navigation Design
A variety of forms, with flexible style, thousand people face.
2. User-defined navigation (UDN)
Embed third-party pages, or they can be embedded by third parties.
3. Portal Templates
More than four templates, can be applied directly, the skin switch seconds-level complete.
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Inspiring data to build a dream future
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One-stop big Data Agile analytics platform