WINTER INDUSTRIAL TRAINING PROGRAM

Learn the Best Technology from the BEST – Mr. Vimal Daga , Renowned Industry Expert – Cloud, BigData, DevOps, Linux & Python
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Programming with Python – Python is a popular high-level programming language. It is a general-purpose language used by scientists, developers, and many others who want to get things done quickly and effectively.
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Python is the most emerging technology that can boost up the career graph. You are at the right place to get right career support.

Schedule for Winter Training 2017 – 2018 : 9th Dec / 23rd Dec, 2017

Applications Open for BE / BTech Winter Training – http://www.lwindia.com/winter-training-application-form.php

Course Content – http://www.lwindia.com/linuxworldindia-winter-internship-industrial-training.php

Confused in choosing the right path or right technology feel free to Call us at +91 9829105960,0141-2501609

Email Id : hr@lwindia.com
FB page: https://www.facebook.com/LinuxWorld.India
Website : www.lwindia.com


What is internship and during 4 years of B .tech when will I have to do the Winter internship?

Winter Internship also called as training, means to get in the industrial environment/get exposure of day to day industrial work and how it is carried out.

Why Winter Internship?

By doing this you will know yourself more clearly, where you stand the industrial needs and what changes you need in yourself. You will learn to work under mentors/seniors/managers. It will develop your tolerance power, patience, group work abilities, etc. It will be a whole new experience.

When to do Winter Internship?

You can do it whenever you want to, when you think you must have to do it. But Indian Govt. has made Internship compulsory before joining a company so you have to do it in your 5th/ 6th/ 7th/8th semester. If you are willing for an Winter Internship, the right time to do it starts when you’ve completed your 1st year else after completion of 2nd year (most suitable). If you go like doing internship after completion of 1st year, you can do 3-4 internships and that will be too much beneficial I think with almost every kind of experience.

General Trend – Most do it after completion of 3rd year or 7th/8th semester.

Answer for your ques ends here…

Few more things-

You must have a sound resume to go for an internship and very good knowledge of things you mentioned in your resume as you have to go through interviews.

Secondly, you can’t directly enter into any firm for Internship, either you need few references or have to wait for the firm’s ads for internship. However, chances are there that you can directly approach any local firm, showing them some of the stuffs you created (small scale stuffs like a small website, 2-3 web designs, any mobile app anything relevant to the training).Always keep in mind, whatever you learn, try to implement it in real life or create something using it.

If anyone want to Do winter internship on  New Technology like Hadoop, Cloud Computing, DevOps, Docker, Splunk, Linux and many more technology visit on – http://www.linuxworldindia.org/linuxworldindia-winter-internship-industrial-training.php


Winter Internship for B.tech Students

During the Winter Internship Program, you will get Practical Exposure on various real time case studies. We truly believe that Practical knowledge is more important than theoretical Concept that are the reason our labs our 24*7 Available.

At LinuxWorld Informatics Pvt ltd offering Practical Knowledge to students is our main Motto. All Internships are delivered by Expert Certified Trainers with Industrial Exposure.

internshipWhy LinuxWorld Winter Internship Program:

Winter Internship Program plays an important role in every student’s life and selected the best Internship company is one of the Major factors

Here are the 8 reasons you should LinuxWorld for Winter Internship

  1. Intensive Hands-on Practical Sessions.
  2. Certified Expert Trainers
  3. Authorized Internship Certificates.
  4. Project Letters.
  5. 24*7 Lab Access.
  6. Resume writing classes.
  7. Placement and career guidance.

Winter Internship Program Details:

  1. Distributed Computing using Big Data Hadoop Implementation over RedHat Linux Platform
  2. Cloud Computing Services with RedHat Linux Program
  3. OpenStack Cloud Computing Implementation Over RedHat Linux System Program
  4. Cloud Storage Implementation Over RedHat Linux System Program
  5. RedHat Linux System Administration and Engineer Program
  6. Cisco Network Administrator Program
  7. Cisco and RedHat Integrated System and Network Management Program

To more visit – http://www.linuxworldindia.org/linuxworldindia-winter-internship-industrial-training.php


DevOps benefits from data-driven private clouds

lso during our webinar, we explored how a data-driven cloud offers powerful solutions.

First, let’s define “data-driven cloud.”  A data-driven cloud is one that uses real-time, continuous analysis and measurement against totally customizable and configurable SLAs. An example is  Rackspace Private Cloud, which now includes the AppFormix cloud service optimization platform that delivers all of the game-changing benefits of a data-driven cloud.

With a data-driven cloud, operators have the ability to:

Know which parts of their infrastructure are healthy and which are not

AppFormix provides real-time monitoring of every aspect of the cloud stack, right down to the processor level. This includes visibility into every virtual and physical resource at your disposal. The user-friendly interface and customizable dashboard provide a comprehensive list of metrics based on industry best practices. SLAs are completely configurable.

Empower developers with visibility and control

AppFormix offers a dashboard that operators can share with developers via a self-service user experience. Developers then have access to process-level monitoring, with real-time and historical views of their resources and the ability to drill down to deeper and deeper levels of specificity about performance. Both operators and developers can create project-level reports with a click; the report content and the recipients are customizable, and data can be exported in any format. In addition, operators and developers have access to advanced alarming and notification capabilities and can establish static and dynamic thresholds based on their preferences.

Make well-informed capacity decisions

With AppFormix, operators know the true capacity levels of their infrastructure, any time and all the time. AppFormix also enables operators to model potential changes to see what impacts will be on capacity, availability and performance.

If this sounds great on a theoretical level, below are some “real-life” examples of what a DevOps-ready private cloud can do.

  1. Troubleshoot when a user is experiencing slowness;
  2. Real-time notification of events;
  3. Maximize infrastructure ROI using utilization reports;
  4. Determine if there is capacity for a new or expanding project;
  5. Improve availability with configurable policy for SLA.

Review: Google Cloud flexes flexibility

Google’s elegant Cloud Platform makes it easy to spin up instances or simply tap Google APIs only when you need them

If one company among all companies is synonymous with cloud-centered computing, it would be Google. From the very beginning, Google built a business located somewhere in the murky depths of the Internet, and its search engine continues to be one of the most formidable engineering marvels of the modern world. When was the last time there was an outage?

It’s only natural that anyone looking to build an information-based business that spans the Internet would turn to Google and leverage all of its experience. As pioneers, if Google needed a technology, Google engineers had to develop it themselves, then deploy it. Now everyone can profit from Google’s skills and build a Google-grade system with Google-grade reliability for pennies per hour or per click.


3 key ways Hadoop is evolving

Hot themes at the Strata+Hadoop World conference reflect the shift for the big data platform

The Strata+Hadoop World 2015 conference in New York this week was subtitled “Make Data Work,” but given how Hadoop world’s has evolved over the past year (even over the past six months) another apt subtitle might have been “See Hadoop Change.”
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Here are three of the most significant recent trends in Hadoop, as reflected by the show’s roster of breakout sessions, vendors, and technologies.

Spark is so hot it had its own schedule track, labeled “Spark and Beyond,” with sessions on everything from using the R language with Spark to running Spark on Mesos.

Some of the enthusiasm comes from Cloudera — a big fan of Spark — and its sponsorship for the show. But Spark’s rising popularity is hard to ignore.

Spark’s importance stems from how it offers self-service data processing, by way of a common API, no matter where that data is stored. (At least half of the work done with Spark isn’t within Hadoop.) Arsalan Tavakoli-Shiraji, vice president of customer engagement for Databricks, Spark’s chief commercial proponent, spoke of how those tasked with getting business value out of data “eagerly want data, whether they’re using SQL, R, or Python, but hate calling IT.”

Rob Thomas, IBM’s vice president of product development for IBM Analytics, cited Spark as a key in the shift away from “a world of infrastructure to a world of insight.” Hadoop data lakes often become dumping grounds, he claimed, without much business value that Spark can provide.

The pitch for Hadoop is no longer about it being a data repository — that’s a given — it’s about having skilled people and powerful tools to plug into it in order to get something useful out.

Two years ago, the keynote speeches at Strata+Hadoop were all about creating a single repository for enterprise data. This time around, the words “data lake” were barely mentioned in the keynotes — and only in a derogatory tone. Talk of “citizen data scientists,” “using big data for good,” and smart decision making with data was offered instead.

What happened to the old message? It was elbowed aside by the growing realization that the culture of self-service tools for data science on Hadoop offers more real value than the ability to aggregate data from multiple sources. If the old Hadoop world was about free-form data storage, the new Hadoop world is (ostensibly) about free-form data science.

The danger s making terms like “data scientist” too generic, in the same way that “machine learning” was watered down through overly broad use.

Hadoop is become a proving ground for new tech

Few would dispute that Hadoop remains important, least of all the big names behind the major distributions. But attention and excitement seem less focused on Hadoop as a whole than on the individual pieces emerging from Hadoop’s big tent — and are put to use creating entirely new products.

Spark is the obvious example, both for what it can do and how it goes about doing it. Spark’s latest incarnation features major workarounds for issues with the JVM’s garbage collection and memory management systems, technologies that have exciting implications outside of Spark.

But other new-tech-from-Hadoop examples are surfacing: Kafka, the Hadoop message-broker system for high-speed data streams, is at the heart of products like Mesosphere Infinity and Salesforce’s IoT Cloud. If a technology can survive deployment at scale within Hadoop, the conventional wisdom goes, it’s probably a good breakthrough.

Unfortunately, because Hadoop is such a fertile breeding ground, it’s also becoming more fragmented. Efforts to provide a firmer definition of what’s inside the Hadoop tent, like the Open Data Platform Initiative, have inspired as much dissent and division as agreement and consensus. And new additions to the Hadoop toolbox risk further complicating an already dense picture. Kudu, the new Hadoop file system championed by Cloudera as a way to combine the best of HDFS and HBase, isn’t compatible with HDFS’ protocols — yet.

There’s little sign that the mix of ingredients that make up Hadoop will become any less ad hoc or variegated with time, thanks to the slew of vendors vying to deliver their own spin on the platform. But whatever becomes of Hadoop, some of its pieces have already proven they can thrive on their own


How do enterprises really use Hadoop?

A panel session at Strata+Hadoop 2015 explores the ways enterprises are making the most of the big data platform

It’s easy to think most of the big, urgent questions around Hadoop are technical: What’s so special about Spark vs. MapReduce? What are the data governance tools like?

Linuxworld hadoop training

But judging from the turnout at a session at the Strata+Hadoop World 2015 conference in New York yesterday, the most urgent questions may be the simplest: What’s the best way to get started? How do you demonstrate to the rest of the company that Hadoop is worth the effort?

The session, entitled “Real data, real implementations: What actual customers are doing,” was chaired by Andrew Brust of Datameer and featured panelists from American Airlines, Kelley Blue Book, and American Express describing their companies’ real-world achievements with Hadoop and what it took to make them happen. Clearly the subject had draw: The audience packed the room, with some attendees lining up along the back wall or sitting on the floor.

Brust’s opened the panel with a question likely echoed by most enterprises users: How do we get started quickly in Hadoop?

American Express Publishing Corp.’s Kendell Timmers stressed not technology, but people — specifically, an “information buddy system.” Early adopters who wanted to work with Hadoop did all the original heavy lifting, figuring out how to get data into the system and what to download and work with. By the time a second wave of adopters had arrived, the first wave had already developed ways to support each other, such as creating a wiki or roster of “wizards,” people who would take an hour out to field one-on-one questions.

Which makes more sense, Datameer’s Brust asked: To hire outside Hadoop talent or train one’s own people? Jeff Jarrell, a data architect at American Airlines, noted that while his company does a lot of internal grooming, “a lot of people [from outside] do want to get into this space.” Many of the company’s outside hires are from universities with data science programs. “[From there] we get ‘adepts’ — first-year hires — who are motivated to use the tech.”

Timmers said American Express’s approach was to do both — get people from the outside who are a quick start and bring in new ideas, but also cultivate internal talent to leverage what they know about the business. “You already have a lot of valuable people who know about your data, and that’s extremely valuable and not replaceable,” he said.

This emphasis on the human element makes sense — a shortage in Hadoop skills is a big reason why many Hadoop deployments don’t provide the expected return on investments.

What about demonstrating proof of business value to the rest of the company? At American Express, Timmers said the proof came with a program that matched third-party offers to card members, using algorithms to determine the best matches. The original algorithm “took two and a half days to run” and produced poor matches; the new Hadoop-based match algorithm runs in “only four hours,” produced far better results, and ended up enjoying wide adoption.

Ryan Wright, a manager of data management at Kelley Blue Book, said his company developed an entirely new reporting environment for the marketing side of the business that allowed them to budget better. This example underscores that enabling self-service reporting with Hadoop is one of the most tangible ways to demonstrate its value.


Microsoft Enables Transparent Encryption on Azure SQL Cloud Databases

Azure SQL Cloud DatabaseThe company’s Transparent Data Encryption option, borrowed from SQL Server, is now generally available as part of numerous upgrades to its cloud database platform.
Microsoft’s cloud customers can now more easily encrypt their databases with this week’s release of the new Azure SQL Database Transparent Data Encryption (TDE) feature.TDE enables customers “to protect your data and help you meet compliance requirements by encrypting your database, associated backups, and transaction log files at rest without requiring changes to your application,” said Jack Richins, principal program manager of Microsoft Azure SQL Database, in an Oct. 14 announcement. TDE hails from the Transparent Data Feature used by Microsoft SQL Server since 2008, he revealed. In its cloud-based implementation, his group added support for Intel’s AES-NI (Advanced Encryption Standard New Instructions) hardware-based acceleration, reducing computational overhead and improving performance.TDE encrypts the entirety of a database’s storage using an AES-256 symmetric key, explained Richins. “SQL Database protects this database encryption key with a service-managed certificate,” he said. Certificates are automatically rotated at least every 90 days, according Microsoft’s online documentation.Switching the feature on can be accomplished with just a few clicks. “All key management for database copying, Geo-Replication, and database restores anywhere in SQL Database is handled by the service—just enable it on your database with two clicks on the Azure Preview Portal: click ON, then click Save, and you’re done,” Richins said.
The company is currently previewing SQL AlwaysOn integration with Azure Site Recovery (ASR), Microsoft’s cloud-based disaster recovery service. SQL AlwaysOn is a set of high availability and disaster recovery technologies found in Microsoft SQL Server.”SQL Availability Groups can now be added to ASR Recovery plans along with virtual machines,” stated Prateek Sharma, a Microsoft Cloud and Enterprise senior program manager, in a blog post. “All capabilities of ASR Recovery plans such as sequencing, scripting and manual actions can be leveraged to orchestrate the failover of a multi-tier application that uses a SQL database, configured with AlwaysOn replication, as backend.”The offering also helps streamline IT operations, by removing “the need to write and manage the scripts required for failover of SQL AlwaysOn Availability Groups. This solution is currently supported only for System Center Virtual Machine Manager managed environments,” noted Sharma.Finally, Microsoft has added cross-database query support to Azure SQL’s elastic database query feature, essentially allowing multiple databases to contribute rows into a single result.”This makes possible common cross-database querying tasks like selecting from a remote table into a local table,” noted Microsoft Principal Program Manager Lead Torsten Grabs in a statement. “It also allows for richer remote database querying topologies.”Customers can also now access the elastic database query feature in Azure SQL’s Standard performance tier, announced Grabs. “This significantly lowers the cost of entry for cross-database querying and partitioning scenarios in Azure SQL Database,” he said.Users may notice somewhat of a delay, warned Grabs. “Due to the smaller DTU [Database Transaction Unit] limits in the Standard tier, it can take up to one minute to initialize elastic database query when you run your first remote database query.” Microsoft is working on improving the feature’s initiation latency, he said.

IBM Adds VMware Support to Advance Hybrid Cloud

IBM advanced its hybrid cloud capabilities by announcing a new cloud offering with VMware that enables enterprises to extend their existing on-premises VMware infrastructure into the IBM Cloud through VMware NSX.IBM said the offering, which includes monthly billing and processor-based pricing, enables customers to easily move workloads and applications across IBM’s global network of cloud data centers without sacrificing performance or low network latency.IBM’s SoftLayer cloud infrastructure runs VMware vSphere deployments via bare-metal servers. Enterprises can run a single VMware environment to do live workload migrations between data centers across continents while being able to easily implement disaster recovery solutions. This makes transitioning into a hybrid model easier because it results in greater workload mobility and application continuity, IBM said. It also helps companies make a more gradual transition to the cloud.“IBM is a key partner for VMware by providing its SoftLayer global cloud solutions for our joint enterprise clients,” said Geoff Waters, vice president of the Service Provider Channel for VMware, in a statement. “This partnership provides enterprises with a proven cloud platform on a global basis with high performance, enhanced security and control by using technologies from IBM and VMware. The ability to move workloads across continents offers enterprises new and exciting deployment options for their applications and cloud services.”

In addition, IBM is enhancing its Cloud Builder Professional Services capabilities to include full support for and deployment of VMware vSphere 6. Via IBM Cloud Builder it is possible to set-up a VMware vSphere implementation in hours and migrate workloads over to the new cloud leveraging a broad set of cloud based deployment patterns and capabilities. This can greatly reduce the risk and cost of cloud implementations by clients, IBM said.

Moreover, new cloud services featuring VMware NSX and VMware Virtual SAN will be available on the IBM Cloud beginning in November.In other IBM Cloud news, Etihad Airways and IBM announced a10-year technology services agreement worth $700 million whereby IBM will helpthe airline to enhance guest experience, upgrade its infrastructure and security, and improve efficiency. Etihad Airways, based in the United Arab Emirates, carried 14.8 million passengers in 2014, and serves 113 passenger and cargo destinations.IBM will deliver a range of services, including cloud-based platforms. The agreement includes plans for a new cloud data center in Abu Dhabi. The center will be developed and operated by IBM.“This is a long-term, strategic partnership which will allow Etihad Airways and its partners to harness the latest technologies as we deliver our services,” said James Hogan, president and CEO of Etihad Airways, in a statement. “This is a game-changing agreement for Etihad Airways, for our partners and employees, and for Abu Dhabi.”IBM was selected due its global reach, its experience and alignment with Etihad Airways’ technology and strategy of deploying cloud-first initiatives. The airline will tap IBM’s cloud, analytics, mobile, security and cognitive technologies.“By partnering with IBM in this transformation journey, Etihad Airways is accelerating the move to new technologies such as cloud computing and cognitive,” said Martin Jetter, senior vice president of IBM Global Technology Services. “These technologies will help the airline to improve efficiencies and achieve its ambitious growth plans as a globally integrated aviation group.”In addition, through IBM’s mobile solutions, developed under the Apple-IBMalliance, the airline will provide enhanced mobile capabilities to its employees and guests. Other solutions will enable airport operations to run more efficiently.Also, IBM and Etihad Airways will create a joint technology and innovation council in Abu Dhabi to develop more personalized travel solutions using IBM’s global research capabilities and the airline’s industry expertise.“This landmark agreement, a fundamental part of our technology and innovation strategy, will bring us a global IT delivery platform that is secure, resilient and future-ready for Etihad Airways’ companies and equity partner airlines,” said Robert Webb, Etihad Airways’ chief information and technology officer. “We have chosen IBM as a global technology partner due to its commitment to its people, its experience in delivering such transformations, and its history of leadership and innovation in the airline industry. We are confident that this collaboration will ultimately enhance our guest experience and reinforce our competitive position further within the industry.”Etihad Airways’ current data center, IT infrastructure, applications and security operations will be migrated to the new data center in Abu Dhabi, and disaster recovery will be managed at an IBM Cloud data center in Europe. This approach will allow the airline to scale and manage its IT resources more efficiently, while ensuring business continuity.As part of the agreement, around 100 Etihad Airways information technology employees will transition to IBM. IBM will manage the data center operation, including individual infrastructure services and IT helpdesk for Etihad Airways.The collaboration provides a global framework for technology service delivery for Etihad Airways and its Etihad Airways Partner airlines, including Alitalia, airberlin, Jet Airways, Air Serbia, Air Seychelles and Etihad Regional.The agreement was signed at the end of September 2015, IBM said.


Who Is Responsible for Security in the Cloud?

Security is a primary concern for most organizations looking at cloud adoption, but who is responsible for making sure the cloud is secure? That’s one of the many questions that a Ponemon Institute survey, sponsored by security hosting vendor Armor, asked.More than half (56 percent) of respondents said that the primary reason they adopt cloud is to reduce costs, while only 8 percent said that a primary reason is to improve security, according to the study, which is based on a poll of 990 senior IT professionals in the United States and United Kingdom. Meanwhile, 79 percent of respondents indicated that security is a critical part of the cloud migration decision.”It continues to surprise me that there seems to be agreement in the industry that security is important and continues to be a major concern in the cloud,” Jeff Schilling, CSO at Armor (previously known as Firehost), told eWEEK. “However, more than half of the respondents are unwilling to pay a premium to ensure the security of their sensitive data in the cloud.”Despite the views of the survey’s respondents, it is possible to achieve a secure posture in the cloud, said Schilling, who is a former director of the U.S. Army’s Global Network Operations and Security Center, which falls under the U.S. Army’s Cyber Command.

In Schilling’s view, the cloud is the place that allows enterprises to take back the initiative from the threat actors, but it takes the right technology, managed via the right techniques and the right people. “Not investing in the proper security controls gives threat actors the advantage,” he said.

The survey asked multiple questions about responsibilities for cloud software-as-as-service (SaaS) as well as infrastructure-as-a-service (IaaS) deployments. Only 15 percent of respondents indicated that IT security is most responsible for ensuring the security of SaaS applications, while 16 percent of respondents identified IT security as most responsible for the security of IaaS resources.”Security is something that is everyone’s responsibility to some degree, yet no one particular function seems to step up and own it,” Schilling said. “This is absolutely where managed security providers can come in to take on some responsibilities and share some of the risk.”Schilling suggests that customers considering a managed service should ensure that their chosen provider clearly delineates the responsibilities that they will assume versus those that the customer will retain.The study also asked respondents about deployments of IT security technologies on-premises and in the cloud; 59 percent of respondents indicated that they deploy security information and event management (SIEM) technology on premises, while 39 percent deploy it in the cloud.”Based on my past experiences, many companies keep SIEM on premises, whether due to regulatory requirements or just by the nature of the amount of data being processed and stored,” Schilling said. “That said, we find that SIEM can absolutely work in the cloud if you have the right architecture and talent to manage it.”When it comes to intrusion-prevention systems (IPS), 54 percent of respondents noted that they deploy in the cloud, with 42 percent reporting on-premise deployments. For next-generation firewalls (NGFWs), the results are flipped, with 38 percent deploying on premises and 17 percent deploying in the cloud.”For advanced firewalls or unified threat platforms [such as a firewall-IPS combo], there is a struggle to virtualize the software and move off of bare metal,” Schilling said. “Part of me suspects this is more of a business decision by most of the vendors, as software companies drive less revenue than hardware/software companies.”The industry is starting to see some of the big players move to the cloud because they realize they will be irrelevant if they don’t have a cloud option, Schilling explained.While one part of the study showed that respondents, in fact, use security applications in the cloud, 32 percent indicated that IT security applications are considered too risky to be processed or housed in the cloud.The back-end analytics systems for some of the largest security companies in the world require tremendous horizontal and vertical scaling as their business grows and the complexity of their analytics grow exponentially, Schilling said, adding that nearly all security vendors that approach him lately have some level of public cloud use as part of their enterprises.”I love asking them to present their security validation paperwork so I can get a sense of how they are securing their cloud use,” Schilling said. “Most of the time, the conversation turns to ‘thank you for your time and I will get back to you,’ and I never hear from them.”