Winter Internship / Training 2016 – 2017 Program

“Big Data Hadoop Implementation over RedHat Linux Platform Using Python ” @ INR 15,500/- only (BigData Hadoop + Python + RHCE (Free))
———————————————————————
“Can you Believe YOU CAN deploy your OWN Super Computing Cluster”
Admin Contact: +91 9351009002
Email: training@linuxworldindia.org

winter-training
How to Apply – Application Link :

http://www.linuxworldindia.org/winter-training-application-form.php

Global Trainings Included –

1. BigData Hadoop
2. Python Core Level
2. RedHat Certified System Administrator (RHCSA)
3. RedHat Certified Engineer (RHCE) Latest version 7

For More Program on Winter Training. Click Below link :

http://www.linuxworldindia.org/linuxworldindia-winter-internship-industrial-training.php

Willing to utilize your Winter Short Vacations or Winter Breaks in the best possible manner which will help you in securing your job?

LinuxWorld Informatics Pvt. Ltd. has Initiated Winter Training Program for a span of 4 Weeks / 6 Weeks / 8 Weeks wherein you would be learning the most demanding technology in the market.

Winter Internship / Training 2016 – 2017 Program

“Big Data Hadoop Implementation over RedHat Linux Platform Using Python ” @ INR 15,500/- only (BigData Hadoop + Python + Linux (Free))

“Can you Believe YOU CAN deploy your OWN Super Computing Cluster”

Admin Contact: +91 9351009002
Email: training@linuxworldindia.org

winter-big-data-hadoop

How to Apply – Application Link :

Global Trainings Included –
1. Big data Hadoop
2. Python Core Level
2. RedHat Certified System Administrator (RHCSA)
3. RedHat Certified Engineer (RHCE) Latest version 7For More Program on Winter Training.
Click Below link :
Willing to utilize your Winter Short Vacations or Winter Breaks in the best possible manner which will help you in securing your job?LinuxWorld Informatics Pvt. Ltd. has Initiated Winter Training Program for a span of 4 Weeks / 6 Weeks / 8 Weeks / 6 Months wherein you would be learning the most demanding technology in the market.

RHEL is optimizing its operating systems for those who are planning to deploy containers

Red Hat has announced the release of Red Hat Enterprise Linux (RHEL) 7.2 beta. In addition to the typical updates, the release will make it easier for businesses to build and deploy Linux containers. This release also brings some refreshment to the RHEL desktop with rebasing it to GNOME 3.14 desktop and package GNOME Software.

The beta improves the platform’s underlying container support infrastructure, including OverlayFS and user namespaces. These improvements will assist customers in containerizing existing (traditional) applications and at the same time develop new applications based on amicroservices style architecture.

Security is an ongoing process

To further improve the security of RHEL, the company has introduced a new SCAP module in the installer (anaconda) that allows enterprise customers to apply SCAP-based security profiles during installation.

The beta also adds the ability to bind data to local networks, allowing enterprises “to encrypt systems at scale with centralized management,” according to the press release. “In addition, Red Hat Enterprise 7.2 beta introduces support for DNSSEC for DNS zones managed by Identity Management (IdM) as well as federated identities, a mechanism that allows users to access resources using a single set of digital credentials.”

Red Hat customers can download the beta from the download page.

This article is published as part of the IDG Contributor Network. Want to Join?

OpenStack block storage (Cynder)

will work similar to attaching and detaching an external hard drive to your operating system, for its local use. Block storage is useful for database storage, or raw storage for the server(like format it, mount it and use it), or else you can combine several for distributed file system needs (like you can make a large gluster volume, out of several block storage devices attached to a virtual machine launched by Nova).

The second type of storage full fills the scaling needs, without bounds. You need a storage that can scale without worry. Where your storage need is of static objects. This can be used for storing static large data like backups, archives etc. It can be accessed with its own API, and is replicated cross datacenter, to withstand large disasters.