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Product

beeCloud Analytics

Advanced data-analysis via honeybee chart
You can find most valuable data with deeper insights
Make enterprise-level scalability advantages with secure

beeCloud Analytics Overview

An enterprise-class analytical engine
Built to ensure full R-language compliance

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Benefits

beeCloud Analytics is built into our solutions to improve data retrieval and analysis through predictive tools and R scripting. It can be deployed on the grid via big data environments like Hadoop and Spark for quick and advanced analysis of big data.

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Fully-compatible-with-R

Support advanced analytics,
being compatible with RStudio

You can use RStudio with beeCloud Analytics engine for R script. beeCloud Analytics engine fully is compatible with RStudio, that is a full-featured, open-source IDE with R. RStudio is used by separate terms, independently using open-source software license. hbee doesn’t warrant any code provided by RStudio, Inc., including development tools and packages.

Monitoring-views-supported

Monitoring views supported

beeCloud Analytics provides dashboard that you can monitor servers’ status. By monitoring, you can check the results of using memory and restrict access to specific users’ servers as needed. It allows you to work in a better condition.

Suitable-for-vast-amount-of-data

Suitable for vast amount of data

beeCloud Analytics is optimized for the analysis of large volumes of data. There are no restrictions on the size of data used. It is implemented to enable analysis in pleasant envionment.

Features

beeCloud Analytics provides differentiated visualization through the study of users’ discomfort in using analytics tools.
It has been implemented on the web so that users are free from time and place. It also provides many libraries and can analyze large amounts of data quickly.

Differentiated Visualization

The biggest advantage of beeCloud Analytics is that not only will you be able to use all of R’s packages in our solutions, but you can also make hbee’s own packages and differentiate them from your existing visualizations or analysis.

 

Public and private libraries

beeCloud Analytics provides full sharing of data, documents and projects as well as limited sharing. It automatically runs user-specific profile scripts for database and cluster connections. Administrative super-users do not have root privileges on the system, but they have some delegated set of privileges that are useful for server administration and support.

Differentiated UI/UX

beeCloud Analytics supports true meaning of UI/UX for users’ convenience by complementing the problems or difficulty of various analysis tools that are provided already.

Available on Web

Because beeCloud Analytics is available on the web, you can work anywhere, storing and working with multiple users simultaneously in real time.

Quick analysis

beeCloud Analytics gives you the fastest analytics experience. Distributed processing enables large-scale analysis.

Differentiated Visualization

The biggest advantage of beeCloud Analytics is that not only will you be able to use all of R’s packages in our solutions, but you can also make hbee’s own packages and differentiate them from your existing visualizations or analysis.

beebrain_scatter

Public and private libraries

beeCloud Analytics provides full sharing of data, documents and projects as well as limited sharing. It automatically runs user-specific profile scripts for database and cluster connections. Administrative super-users do not have root privileges on the system, but they have some delegated set of privileges that are useful for server administration and support.

Differentiated UI/UX

beeCloud Analytics supports true meaning of UI/UX for users’ convenience by complementing the problems or difficulty of various analysis tools that are provided already.

Available on Web

Because beeCloud Analytics is available on the web, you can work anywhere, storing and working with multiple users simultaneously in real time.

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Quick analysis

beeCloud Analytics gives you the fastest analytics experience. Distributed processing enables large-scale analysis.