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NOTE: Intellectual Property Statement

"This offer inculcates a wide range copies of open source and free software, but the Copyrights, Patents and Trademarks are legal protections for original owner."

Available on Alibaba Marketplace and powered by Miri Infotech, Datamelt is designed for interactive scientific plots in 2D and 3D. It also contains numerical scientific libraries implemented in Java for mathematical functions, statistical analysis, random numbers curve fitting, and other data mining algorithms. Scripts and Java code can be run either in a GUI editor of DataMelt framework or as batch programs.

DataMelt not only analyzes the data but also depicts it in a whole different form other than pie charts, graphs etc. It can be used with several scripting languages for the JAVA platform: Groovy, Jyhton (Python programming language), JRuby (Ruby programming language) and BeanShell. Also, symbolic calculations can be done using Matlab/Octave high-level interpreted language integrated with JAVA.

Miri Infotech, a leading IT solution provider is launching a product that will configure and publish DataMelt, to produce implementations of distributed or otherwise scalable and highly available resources which are embedded pre-configured tool with Ubuntu and ready-to-launch AMI on Alibaba Cloud Network that contains JAVA, GNOME.

DataMelt creates high-quality vector-graphics images, which can be included in LaTeX and other text-processing systems. DataMelt brings along a coherent user interface and tools competitive to commercial programs. It is basically a collaboration of mathematical and numerical software packages with GUI-type user interfaces into a coherent program in which the main user interface is based on short-named Java/Python classes. DataMelt runs on Linux, Windows, Mac and Android operating systems.

Features:

2D as well as a 3D interactive visualization of data, histograms, functions, charts.
Analytic calculations using Matlab or Octave syntax
Histograms in 2D as well as 3D, and profile histograms
Random numbers and statistical samples
functions, including parametric equation in 3D
contour plots, scatter plots
neural networks

Usage / Deployment Instructions

Step 1: Open Putty for SSH

Step 2: Type <instance public IP> at “Host Name”.

Note: Add 5901 and 5902 in your security group of the instance.

Step 3: In PUTTY go to Connection->SSH->Tunnels and enter the below shown details:

Source port: 9502

Destination: <instance public IP>.:5901

Click add

Step 4: Click open and type “root” as a username and password as “miri@123”.

Step 5: type the following command:

vncserver :1

Step 6: Open your tightVNC viewer and enter the following details and click connect:

Note: Download the tightVNC for the windows/OS platform that you are using. Link: https://www.tightvnc.com/download.php

Remote host: <instance ip address>::5901

Enter the password as : datamelt

Below screen will pop-up:

Open the terminal window :

Step 7: type the following commands:

cd /home/dmelt

./dmelt.sh

Enjoy DataMelt

All your queries are important to us. Please feel free to connect.

24X7 support provided for all the customers.

We are happy to help you.

Submit your Query: http://www.miritech.com/ContactUs.aspx

Contact Numbers:

(510) 298-5936
(510) 870-8668

Contact E-mail:

support@miritech.com

Other Useful Links:

Product Demo: https://youtu.be/ngLTJAf58-8

Post your queries here.

Submit Your Request

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You can subscribe to this product from Alibaba Cloud Marketplace and launch an instance from the product's image using the Alibaba ECS service.

Log on to the ECS console.
On the Instances page, click Create Instance to enter the Custom purchase page.
Follow these steps to finish Basic Configurations.
1. Select Billing Method. Select Pay-As-You-Go.
2. Select a region, such as China East 1. Select a zone, or allow one be allocated randomly, as by default.

Note After an instance is created, you cannot change its region and zone.

Select an instance type and specify the quantity of instances.

The available Instance type families are determined by the region selected. In this example, select All Generations > x86-Architecture > Entry-Level (Shared) > Compact Type xn4.

Select an image. The Product Image is selected.
Select a storage space. Only a system disk is used, and the 40 GiB Ultra Cloud Disk is selected, which is the default.

Click Next: Networking to finish the networking and security group configuration.
Select VPC as the network type. Select the default VPC and VSwitch.
Set the network billing method.

Select Assign public IP and Pay-By-Traffic.

Select a security group. You can use the default security group if you do not create one.
Add an Elastic Network Interface (ENI). Skip this step if the selected instance type does not support ENI.

Click Next: System Configurations.

Set configurations as needed. We recommend that you inherit the password from existing image.

Click Next: Grouping. You can set the options here as needed. In the case of multiple instances, we recommend that you add labels for ease of administration.
Click Next: Preview. Confirm the selected configuration. You can also click the edit icon to return and modify the configurations.
Read and confirm Terms of Service, then click Create Instance.

1What is Hadoop?

The Apache Hadoop software library allows for the distributed processing of large data sets across clusters of computers using a simple programming model. The software library is designed to scale from single servers to thousands of machines; each server using local computation and storage. Instead of relying on hardware to deliver high-availability, the library itself handles failures at the application layer. As a result, the impact of failures is minimized by delivering a highly-available service on top of a cluster of computers.
2Where does Hadoop find applicability in business?

Hadoop, as a scalable system for parallel data processing, is useful for analyzing large data sets. Examples are search algorithms, market risk analysis, data mining on online retail data, and analytics on user behavior data.
3What is big data security analytics?

Add the words “information security” (or “cybersecurity” if you like) before the term “data sets” in the definition above. Security and IT operations tools spit out an avalanche of data like logs, events, packets, flow data, asset data, configuration data, and assortment of other things on a daily basis. Security professionals need to be able to access and analyze this data in real-time in order to mitigate risk, detect incidents, and respond to breaches. These tasks have come to the point where they are “difficult to process using on-hand data management tools or traditional (security) data processing applications.”
4Is there an easy way to migrate data from Hadoop into a relational database?

The Hadoop JDBC driver can be used to pull data out of Hadoop and then use the DataDirect JDBC Driver to bulk load the data into Oracle, DB2, SQL Server, Sybase, and other relational databases.
5Are Intelligent Assistants the only application of AI for customer care, or are there other ways that AI technologies can impact the contact center?

Front-end use of AI technologies to enable Intelligent Assistants for customer care is certainly key, but there are many other applications. One that I think is particularly interesting is the application of AI to directly support — rather than replace — contact center agents. Technologies such as natural language understanding and speech recognition can be used live during a customer service interaction with a human agent to look up relevant information and make suggestions about how to respond. AI technologies also have an important role in analytics. They can be used to provide an overview of activities within a call center, in addition to providing valuable business insights from customer activity.
6What are the popular machine learning algorithms in use today?
There are many machine learning algorithms in use today, but the most popular ones are:
- Decision Trees
- Naive Bayes Classification
- Ordinary Least Squares Regression
- Logistic Regression
- Support vector machines
- Ensemble Methods
- Clustering Algorithms
- Principal Component Analysis
- Singular Value Decomposition
- Independent Component Analysis

DataMelt

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1What is Hadoop?

2Where does Hadoop find applicability in business?

3What is big data security analytics?

4Is there an easy way to migrate data from Hadoop into a relational database?

5Are Intelligent Assistants the only application of AI for customer care, or are there other ways that AI technologies can impact the contact center?

6What are the popular machine learning algorithms in use today?

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