About

MIRI Infotech brings Predictive analytics framework environment in R, Java and Hadoop. Specially optimized R version 3.4.4 with Ubuntu 16.04 OS. This includes RStudio Version 1.453 & RServer 1.1.456 and Hadoop 2.7.3 with HDFS, HBase Version 1.3.0.

Miri Infotech is launching a product which will configure and publish Predictive Analytics Framework with R & Java and Hadoop, to a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques which is embedded pre-configured tool with Ubuntu 16.04 and ready-to-launch AMI on Amazon EC2 that contains Hadoop, R, RStudio, HDFS, Hbase and Shiny server.

R is a language and environment for statistical computing and graphics. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering) and graphical techniques, and is highly extensible. The capabilities of R are extended through user-created packages, which allow specialized statistical techniques, graphical devices.

A core set of packages is included with the installation of R, with more than 10,331 additional packages.

Currently, the CRAN package repository features 10331 available packages. To see the list of all available packages from CRAN, Click Link.

RStudioincludes other open source software components. The following is a list of these components (full copies of the license agreements used by these components are included below):

Qt (LGPL v2.1)
QtSingleApplication
Ace (LGPL v2.1)
Boost
RapidXml
JSON Spirit
Google Web Toolkit
Guice
GIN
AOP Alliance
RSA-JS
tree.hh
Hunspell (MPL)
Chromium Hunspell Dictionaries (MPL)
pdf.js
SyncTeX
ZLib
Sundown
highlight.js
MathJax
reveal.js
node-webkit
JSCustomBadge

RStudio Server enables you to provide a browser-based interface (the RStudio IDE) to a version of R running on a remote Linux server. Deploying R and RStudio on a server has a number of benefits, including:

The ability to access your R workspace from any computer in any location
Easy sharing of code, data, and other files with colleagues
Allowing multiple users to share access to the more powerful computer resources (memory, processors, etc.) available on a well-equipped server
Centralized installation and configuration of R, R packages, TeX, and other supporting libraries

Step 1: Open Putty and Type <instance public IP> at “Host Name” and Type "ubuntu" as user name Password auto taken from PPK file

Step 2: Use following Linux command to start Predictive analytics

Step 2.1: $ sudo vi /etc/hosts

Take the Private Ip address from your machine as per the below screenshot and then replace the second line of your command screen with that Private ip address

Step 2.2: $ ssh-keygen -t rsa -P ""

This command is used to generate the ssh key.

Step 2.3: $ cat $HOME/.ssh/id_rsa.pub >> $HOME/.ssh/authorized_keys

This command is used to move the generated ssh key to the desired location

Step 2.4: ssh localhost

Step 2.5: hdfs namenode –format

You have to write “yes” when it prompts you – Are you sure you want to continue?

Step 2.6: start-all.sh

Step 2.7: After the above command executes successfully, you should check the below urls in the browser -

http://<instance-public-ip>:8088

http://<instance-public-ip>:50070

http://<instance-public-ip>:50090

Step 3: Start Hbase

$ cd /usr/local/hbase/bin

$ start-hbase.sh

Step 4: Start R console

$ R

Step 5: Start RStudio Server

$ cd ~

$ sudo gdebi rstudio-server-1.1.456-amd64.deb

$ sudo rstudio-server start

Step 6: Update user rstudio password

$ sudo passwd rstudio

Step 7: Configure r-hadoop

Open rstudio in browser - http://<instance-public-ip>:8787

Note: Enter rstudio user and its newly generated password

Step 8: For installing r-hadoop packages:

Select Tools-> Install packages-> Install from: Package Archive File(.tr.gz)

Select Browse button

Open new file explorer window and select all available packages for r-hadoop service. Available packages are:

rhdfs_1.0.8.tar.gz

rhbase_1.2.1.tar.gz

plyrmr_0.6.0.tar.gz

ravro_1.0.4.tar.gz

rmr2_3.3.1.tar.gz

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:

Blog: http://support.miritech.com/blog/predictive-analytics-framework-r-hadoop-3-4-4-miri-infotech/

Product Demo: https://youtu.be/MFZDfjswKL4

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You can subscribe RHadoop to an AWS Marketplace product and launch an instance from the RHadoop product's AMI using the Amazon EC2 launch wizard.

Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
From the Amazon EC2 dashboard, choose Launch Instance.
On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
A dialog displays an overview of the product you've selected. You can view the pricing information, as well as any other information that the vendor has provided. When you're ready, choose Continue.
On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you're done, choose Next: Configure Instance Details.
On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
The wizard creates a new security group according to the vendor's specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports.
When you are ready, choose Review and Launch.
On the Review Instance Launch page, check the details of the AMI from which you're about to launch the instance, as well as the other configuration details you set up in the wizard. When you're ready, choose Launch to select or create a key pair, and launch your instance.
Depending on the product you've subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays

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.
2What 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.”
3What can I do with Amazon EC2?

Amazon EC2 enables “compute” in the cloud. Amazon EC2’s simple web service interface allows you to obtain and configure capacity with minimal friction. It provides you with complete control of your computing resources and lets you run on Amazon’s proven computing environment. Amazon EC2 reduces the time required to obtain and boot new server instances to minutes, allowing you to quickly scale capacity, both up and down, as your computing requirements change. Amazon EC2 changes the economics of computing by allowing you to pay only for capacity that you actually use.
4How do I load and store my systems with Amazon EC2?

Amazon EC2 allows you to set up and configure everything about your instances from your operating system up to your applications. An Amazon Machine Image (AMI) is simply a packaged-up environment that includes all the necessary bits to set up and boot your instance. Your AMIs are your unit of deployment. You might have just one AMI or you might compose your system out of several building block AMIs (e.g., webservers, appservers, and databases). Amazon EC2 provides a number of tools to make creating an AMI easy. Once you create a custom AMI, you will need to bundle it. If you are bundling an image with a root device backed by Amazon EBS, you can simply use the bundle command in the AWS Management Console. If you are bundling an image with a boot partition on the instance store, then you will need to use the AMI Tools to upload it to Amazon S3. Amazon EC2 uses Amazon EBS and Amazon S3 to provide reliable, scalable storage of your AMIs so that we can boot them when you ask us to do so.

Or, if you want, you don’t have to set up your own AMI from scratch. You can choose from a number of globally available AMIs that provide useful instances. For example, if you just want a simple Linux server, you can choose one of the standard Linux distribution AMIs.
5What does Amazon RDS manage on my behalf?

Amazon RDS manages the work involved in setting up a relational database: from provisioning the infrastructure capacity you request to installing the database software. Once your database is up and running, Amazon RDS automates common administrative tasks such as performing backups and patching the software that powers your database. With optional Multi-AZ deployments, Amazon RDS also manages synchronous data replication across Availability Zones with automatic failover.

Since Amazon RDS provides native database access, you interact with the relational database software as you normally would. This means you're still responsible for managing the database settings that are specific to your application. You'll need to build the relational schema that best fits your use case and are responsible for any performance tuning to optimize your database for your application’s workflow.
6How many databases or schemas can I run within a DB instance?
- RDS for Amazon Aurora: No limit imposed by software
- RDS for MySQL: No limit imposed by software
- RDS for MariaDB: No limit imposed by software
- RDS for Oracle: 1 database per instance; no limit on number of schemas per database imposed by software
- RDS for SQL Server: 30 databases per instance
- RDS for PostgreSQL: No limit imposed by software
7Is 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.
8What 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

Predictive Analytics Framework R Hadoop(3.4.4)

About

Submit Your Request

1What is Hadoop?

2What is big data security analytics?

3What can I do with Amazon EC2?

4How do I load and store my systems with Amazon EC2?

5What does Amazon RDS manage on my behalf?

6How many databases or schemas can I run within a DB instance?

7Is there an easy way to migrate data from Hadoop into a relational database?

8What are the popular machine learning algorithms in use today?

Highlights

Application Installed