About

Ambari project is intended to make Hadoop management easy by developing software for provisioning, managing, and monitoring Apache Hadoop clusters. Ambari provides an instinctive, simple-to-use Hadoop management web UI assisted by its RESTful APIs.

Miri Infotech, one of the leading IT Solutions providers is configuring Hadoop Ambari, for provisioning, managing, and monitoring Apache Hadoop clusters with LAMP and ready-to-launch AMI on AWS EC2 that contains prosgressSQL, mysql.

What Ambari Does?

Ambari on aws makes Hadoop management simple by offering a consistent, secure platform for operational control. It provides an intuitive Web UI as well as a robust REST API that is particularly valuable for automating different cluster operations. With Ambari, Hadoop operators receive the following benefits:

Simplified Installation, Configuration, and Management
Centralized Security Setup
Full Visibility into the Cluster Health
Highly Extensible and Customizable properties

Apache Ambari’s smart and scalable user-interface enables tools like Pig, MapReduce, Hive, etc., to be installed on the cluster and subsequently administers their performances in a user-friendly fashion. Some of the key features of Apache Hadoop Ambari can be highlighted as:

Instant insights into the health of Hadoop cluster using pre-configured operational metrics
Flexible and adaptive technology fitting perfectly into the enterprise environment.
User-friendly configurations that provide step-by-step guide for installation
Dependencies and performances observed by visualizing and analyzing different jobs and tasks
Authentication, authorization, and auditing by installing Kerberos-based Hadoop clusters

Miri Infotech Ambari offers software tools for provisioning and managing Hadoop data clusters. Along with other data tools, this insightful tool helps to support the effective use of Hadoop in the field. Ambari is easily implemented into data-handling architectures, which make tools like these vital for more versatile use of core Hadoop technology.

Usage / Deployment Instructions

Step 1: Open Putty for SSH

Step 2: Open Putty and Type <instance public IP> at “Host Name” and Type "ubuntu" as user name Password auto taken from PPK file

Step 3: Use following Linux command to change the host.

Step 3.1: Command: sudo vi /etc/hosts

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

Step 4: Use the following command to start ambari:

Command: sudo su

Command: ambari-server restart

Step 5: Hit the browser as http://<instance IP>:8080 where <instance IP> is the public address.

Username: admin

Password: admin

Note: it is advised to change the default password.

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24X7 support provided for all the customers.

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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:click here

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

To launch an instance from the AWS Marketplace using the 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.
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.

Apache Ambari

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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?

Highlights

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