Summer Training on BigData Hadoop

Summer Training on BigData Hadoop with Spark & Cassandra at LinuxWorld Informatics Pvt Ltd – By Industry Expert Mr. Vimal Daga

Research Based Project – DISTRIBUTED COMPUTING WITH BIGDATA HADOOP, CASSANDRA & SPARK – Technologies Involved RedHat Linux, Python, BigData Hadoop, Cassandra, Spark, DevOps, Splunk, IoT, Android

To know more about our projects: https://goo.gl/kKNx48

To know more about Mr. Vimal Daga (Mentor for Summers 2017): https://goo.gl/wtxFFd

If you have still not decided which Project to choose then feel free to call us at +91 9829105960 to get expert guidance


Timing Is Everything: When to Do an Internship

Back in the day, most college students didn’t start thinking seriously about their career and finding a job until their graduation date was in clear sight. If you apply this strategy today, you are already behind in terms of launching a career that is a good fit for you. It’s no secret that internships are a great way to start clarifying your interests, building your network, and landing that plumb job after you walk across that stage.

When is the best time for four-year college students to do one or more internships? There are no right or wrong answers to this question but there are certain pros and cons about your choice of timing.

Freshman Year vs. Senior Year

Although your career interests and your workplace skills might not be that developed as a freshman, a freshman-year (or sophomore-year) internship can be a good place to start weeding out potential major choices and career paths. Even a part-time internship at this stage will help you develop basic workplace skills like managing time, taking initiative, and communicating in a professional manner. The downside to interning early in your college career is that your career interests might be unclear. An internship you’ve committed to can feel interminable if you discover early on that you don’t enjoy this type of work. As a freshman, you also haven’t had a chance to take the upper division courses in your major that can provide you with stronger qualifications and knowledge as you head into an internship. As a result, you might get meatier projects as a junior or senior than you would as a freshman. You are also more likely to receive an offer for permanent employment with the organization, the closer you are to graduation.

Summer vs. Academic Year

Summer internships allow you more freedom, in general, since you have a wider choice of options such as interning part-time or full-time. Being able to intern full-time will give you a clearer sense for what the workplace is really like and will give you more opportunities to take on and complete intensive projects. Student-athletes typically have more availability during summer without extensive practice and travel schedules. Non-credit summer internships can provide more flexibility in terms of geographical options, if you don’t have to be on campus taking courses. More companies offer internships during the summer (in fact some only offer summer internships); however, the flip side of this benefit is that securing a summer internship can be much more competitive.

If you decide to complete an academic year internship, make sure you plan your course schedule carefully to maximize blocks of time when you can be at your internship. Interns rarely get to work on meaningful projects if they are only able to be in the organization a couple of hours here and there. Take advantage of any academic credit available for completing your internship (and if you are in the U.S. on an F-1 visa, keep in mind that you will need to be earning internship credit towards your degree in order to receive authorization to complete an off-campus internship). Use academic year internships to clarify your career direction and build your network to secure a summer internship.

Interning after Graduation

While it might feel like you are not moving on to a “real job,” completing an internship after you have your diploma in hand can be a good way to get your foot in the door with a company that is highly competitive. Many larger and fast-growing companies use internships as a recruitment tool. Post-graduation internships can also allow you to continue to fine-tune your interests without a longer-term commitment. The downside is that most internships don’t offer benefits such as health insurance, which can be a financial burden as you move towards greater financial independence.

Optimal Summer Internship timing for you will be based on a variety of factors—academic load, whether you need a paid internship, and your goals and other commitments. It’s never too early to create a plan for when you will complete internships during college. If it makes sense for your situation, intern early and often


Summer Internship or Part-Time Job: Which is Right for You?

32 percent of graduates with Summer Internship experience found full-time employment immediately after college (as opposed to the 21 percent of students who weren’t interns), according to CareerBuilder.

But maybe pursuing an internship this summer is financially unrealistic? Maybe a part-time job fits your immediate needs better?

To help determine the best choice for you, here are the pros and cons of internships versus a part-time job during the summer break:

Internship

Pros

  • Gain experience in your field: Employers expecting interns to come in with a limited understanding of what it’s like to work in your chosen field. Get the most out of your internship by taking advantage of every learning opportunity presented to you. You’ll be doing yourself a disservice to wait for your employer to hand you everything you need to learn on a silver platter.
  • Networking opportunities: Finding good references is hard. Develop a good working relationship with your boss and all your co-workers. Ask people to be a reference for you before your last day. Maintain contact with them after you leave the company. It will be easier for them to provide an accurate reference to your future employer if they feel they still know you.
  • Makes your resume stand-out: Hiring managers are impressed when you feature an internship on your resume. It shows you were willing to go beyond the classroom and sought additional learning opportunities. Some interns only list where and when they interned on their resume. Be sure to include the specific, measurable accomplishments.
  • Job offer: Treat your internship the same way you treat a regular job. Arrive on time, demonstrate your willingness to exceed expectations, and approach your boss for more responsibilities. As your internship comes to a close, ask your employer if they have any full-time openings. This demonstrates your desire to continue working for your boss even after your internship is finished.
  • Earn college credit: Some colleges accept internships as a way to earn college credit. Talk with your advisors and future employer to learn if this is an option for you.

Cons

  • Short-term income: If you’re lucky enough to snag a paid internship, you know your cash flow is going to dry up once your internship is over. Worst case scenario, you get hired for an unpaid internship. Unless your parents are helping you financially, your unpaid internship means you’ll also need to find a job to pay for your expenses. If you’re concerned about how you’ll pay for your internship, consider getting a job on campus during the semester and save everything your earn to balance your limited income while interning with your expected living expenses.
  • Menial tasks: While you can expect to do mind-numbing tasks at any job or internship, some employers rely on interns to handle the jobs no one in the office enjoys. Before applying for an internship, research as much as you can about the company’s internship program. If you can’t find any information, ask the hiring manager in your interview what your responsibilities will be while interning. Only accept internships where you can truly benefit.
  • Viewed only as “the help”: Once you’ve been identified as the intern, it’s hard for some of your new co-workers to view you as an equal. On your first day, make an honest effort to talk to every person with whom you will be working. This will help them see you as a member of the team instead of that quiet person who doesn’t seem to care about getting along with their co-workers.

Part-Time Job

Pros

  • Consistent income: The phrase “broke college student” is all too real. Working while in college is necessary for most students, a job offers you the consistent income you need to cover living expenses and maybe even occasionally hitting-up Dollar Draft Night at the local popular bar.
  • Opportunity to work your way up in a company: Some jobs that start off as “college jobs” turn into your first “real” job after graduation. Talk with your managers to learn about opportunities for advancement once you graduate.
  • Treated as an equal: Having a specific job title other than intern helps co-workers understand your responsibilities. You’re also not viewed as the kid who’s only in the office temporarily. Make sure you maintain your co-workers’ respect by acting like a professional while you’re at work and not like a “typical college student.”
  • No set end date: Having a permanent job eliminates the stress of finding employment at the end of an internship. As long as you’re a hard worker, you can feel safe knowing that position is yours until you decide to find a job elsewhere.

Cons

  • Hard to find a full-time job in your field without experience: Hiring managers are looking for candidates with the most experience. Make sure you are gaining relevant experience even if you didn’t pursue an Summer internship. Take on more responsibility by acting as the leader for group assignments in class or at work. Volunteer to run a small, local nonprofit’s social media accounts. Be creative in making your own opportunities to gain the experience your future employer expects.
  • Don’t get the chance to experience working in your field before you graduate: You could steer your career in many directions, regardless of your professional field. Experience in your degree is the only way to find out if you’re starting down the right career path. Internships offer you the opportunity to learn what interests you most and helps you narrow your job search.
  • Entry-level jobs in your field require degrees: The entire reason you decided to go to college was to get a job that requires an education. Don’t assume you will find that one mythical part-time position in your field before completing your education. The odds are against you.

Article Source – http://www.youtern.com/thesavvyintern/index.php/2015/05/05/summer-internship-or-part-time-job-which-is-right-for-you/


Summer Internship 2016 for Computer Science

LinuxWorld’s – Summer Internship 2016 / Summer Training 2016 for B.E / BTech invites applications from students interested in all areas of Computer Science, Information Technology, Electronics & Communication and related fields at our location in Jaipur. We are seeking highly motivated B.tech students, who are interested in experiencing an exciting summer of learning and research during Internship Program in India. 

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Summer – BTech Internship Projects:

  1. Big Data Hadoop Deployment Over Cloud Computing Platform to auto provisioning resources that Containerized by Docker for high-performance processing on-demand, structured using Python and Mananged by DevOps Tools with Operational Intelligence Tool – Splunk   (BIN-16-097)
  2. Architect Level MultiNode Deployment of OpenStack Cloud Computing on Type 1 and 2 Hypervisor Virtualization on RedHat Linux System, Automate Using Shell Scripting / Python : Design OWN IaaS  (BIN-16-098)
  3. High Performance Distributed Computing Implements for BIG DATA using Hadoop Framework and running applications on large clusters under Containerized Docker Engine Deployed by DevOpsSuper Computing with Operational Intelligence Tool – Splunk  (BIN-16-099)
  4. Automate Deployment of Cloud Computing and Virtualization with Containerized Docker Integration on Linux System Using Python and Provisioned by DevOps : Own Cloud Infrastructure with Operational Intelligence Tool – Splunk  (BIN-16-100)
  5. Control and Managing Server & Security on RedHat Linux using PHP Web Application  (BIN-16-101)
  6. Cisco Networking Design and Deployment with High-Level Redundancy Using Emulator GNS3 upon Real Devices and L2 Frame Relay Switch  (BIN-16-102)
  7. Cisco and RedHat Linux Network Infrastructure Design and Deployment with High-Level Redundancy Using Emulator GNS3 upon Cisco Real Devices and L2 Frame Relay Switch and RedHat Live Server with Auto Configuration Using Python Based TUI or CGI Programming (BIN-16-103)
  8. Oracle Database Management Project & Interface (BIN-16-104)
  9. Java Core Application Development (BIN-16-105)
  10. Java Web Application Development Using JSP (Java Advance) EE Technology with JBoss As Enterprise Application Server (BIN-16-106)
  11. Speech Control and Voice Recognition to Manage RedHat Linux Server and Security Using Shell Scripting / Python (BIN-16-107)
  12. Setup Telephonic Network using Voice Over Internet Protocol (VoIP) with Asterisk (BIN-16-108)
  13. Setup and Configure RedHat Linux System | Server | Security Manually and Automate using Python Based TUI or Python Web Based CGI integrated with Operational Intelligence Tool Splunk (BIN-16-109)

Platforms offered during BTech Summer Training for Students: Big Data Hadoop I Cloud Computing I Docker I DevOps I Splunk | RHCSA I RHCE I RHCSS I RHCVA I RHCA I PHP I CCNA I CCNP I Firewall I Perl I Shell Scripting and many more to go….

Duration of Summer Training Jaipur: 4 weeks / 6 weeks / 45 Days / 60 Days / 6 Month and according to students Summer Vacation

Deliverables from LinuxWorld Informatics Pvt Ltd for Summer Intern India:

A. Technical Benefits:

1. Project Certificate from LinuxWorld Informatics Pvt Ltd.
2. Learn from Industry Experts having 13+ years of experience.
3. Life Time Membership Card – Life Time Support
4. 24 x 7 Lab Facility
5. Practical Exposure by getting hands-on experience at our well defined labs during Summer Training in Jaipur

B. Management Benefits:

1. CV Building during Summer Training at Jaipur
2. Assistance in preparing Summer Training Project Report
3. Guidance for Presentation to be submitted at college level (PPT)
4. Familiarizing with tips and techniques to overcome the fear to face the interviews & group discussions.
5. Mock Group Discussions will be conducted
6. Grooming Sessions and much more to go.

Contact details:

LinuxWorld Informatics Pvt. Ltd.

Online Application form – http://www.linuxworldindia.org/summer-training-2016-application-form.php

Mob: – 09351788883/09351009002


45 days Summer Internship in Jaipur

LinuxWorld Informatics Pvt ltd is a leading name among the Summer Training Center in India for BigData Hadoop, Cloud Computing, DevOps, Docker, Python for  30/45 days Industrial Training, 4/6 Weeks Summer Training, 30/45 days Internship. LinuxWorld Offering Summer Internship, according to Students college curriculum.

We focus on 2 phases in Summer Internship one is the learning phase and other one is implementation phase where students will works on live projects.

linuxworld

All major & big players in the Industry namely Google, YouTube, Facebook, RedHat, Cisco are working on technologies namely, DevOps, Docker, Splunk, Cloud Computing, BigData Hadoop, Python Programming, Virtualization, and many more to go.

Note: There is no pre-requisite for this Program and each & every aspect involved for developing the project would be supported by respective Global Trainings in depth.

 

Summer Internship Platforms:

  1. DevOps
  2. Docker
  3. Splunk
  4. Openstack
  5. Cloud Computing – The Need of the Day
  6. Super Computing – BigData (Hadoop)
  7. Networking – RedHat Linux & Cisco
  8. Web Application Development – PHP
  9. DataBase Management – Oracle
  10. Programming Languages – Java, Python

For further internship details log on to : http://www.linuxworldindia.org/linuxworldindia-summer-industrial-training.php

For further assistance or queries feel free to call us at +91 9351009002

Click Here to Apply: Summer Training 2016 Application Form

For further details contact us at:
LinuxWorld Informatics Pvt. Ltd.
Plot no 5, Krishna Tower,
GopalNagar – A, Next to Triveni Nagar Flyover,
Gopalpura Bypass, Jaipur – 302015.
Mob : + 91 9351009002, 9351788883
Website : www.linuxworldindia.org Email Id : training@linuxworldindia.org

 


The Growth in Data Center Uses for Shadow IT

ADLMGobblesUpDevOpsShadow IT is casting a long shadow over IT departments as more organizations react to changing demands from their customers, partners and regulators. Groups and individuals outside of IT are taking matters into their own hands by tapping new cloud-based applications and hosted data centers.

Shadow IT involves any purchase of equipment, software or data center resources for uses outside of production IT. These purchases usually fall outside the IT budget as well. In many ways, this trend effectively cedes the influence and control of CIOs and IT managers to others within their organizations. According to at least one bold estimate, shadow IT is set to make up 90% of all IT purchases by 2020.

becoming faster and easier to acquire cloud resources that take longer to get with traditional IT processes. It’s therefore hard to hold back the growth of shadow IT. For example, a test engineer who needs some servers for performance testing. Or a product manager who needs some machines for internal training. Setting up a few AWS instances could take a matter of minutes – you just need a credit card. That seriously lowers the motivation to start requesting those resources from IT, explain why you need them, get approval, and then wait for manual allocation or completion of the purchasing process. As everything gets faster, online, and more automated, the line of business cannot afford to wait.

Let’s examine the main uses of shadow IT to get a better understanding of what is happening.

Uses Cases for Development and Testing

Developers and test engineers are under huge pressure to be more agile. Even in organizations that we would never think of as “fast,” the pace changes rapidly. In heavier organizations that spent years establishing well-groomed IT processes, the dev/test consumer’s patience is running low. We are officially at a point where swiping a credit card and expensing an AWS instance has become easier than opening a ticket to request a virtual machine. As DevOps and automation cross borders and become mainstream, the need for speed makes Shadow IT thrive.

Uses Cases for Sales Enablement

Another line-of-business activity that’s implementing shadow IT involves the sales enablement process. This includes demos and proofs of concept, along with internal and external trainings, or customer support services.

Until lately, most demos and proofs of concept were the responsibility of sales organizations, and such work was generally performed beyond the purview of IT. Now fewer companies are staging demos and proofs of concept at customer sites. They are adopting hosted data centers and web-based cloud services that customers and sales teams can access remotely through self-service.

In recent years, many of these sales demos have been conducted at resellers and integrators, or by building a lab at a hosted data center where the infrastructure and software is housed.

Uses Cases for Partner Enablement

Shadow IT is also catching on for partner enablement to facilitate software development sandboxes, certifications, and testing of software-defined networks. Many industries depend on such product ecosystems for their long-term success. With software-defined infrastructure, the software can be easily integrated and controlled using outside tools.

                                                                                 Most major hardware and software vendors are developing new partner labs. Members of the partner ecosystem can certify performance against the vendor’s equipment and interfaces without making big capital investments in the infrastructure themselves. Some examples include Cisco DevNet and Salesforce’s Force.com.

Shadow IT Continues to Grow

The organizations that adopt agility and DevOps are no longer the leanest and most cutting-edge. They can’t get away with a single Amazon instance. They need support for more complexity, more configurations and more context. They need to better mimic production, because more is at stake.

As more lines-of-business in these organizations need to be faster, it’s becoming more challenging for IT to meet their needs with the Production IT toolbox – whether it is for development, testing, security certifications, demos or support.

These kinds of use cases for shadow IT are on the rise, meaning shadow IT will continue to be a growth market for years to come. Whether or not shadow IT will consume 90% of all IT budgets remains to be seen, but it will definitely make up a significant portion of IT spending until production IT changes its approach


IBM Strengthens Effort to Support Open Source Spark for Machine Learning

Spark 300x251 IBM Strengthens Effort to Support Open Source Spark for Machine Learning

IBM is providing substantial resources to the Apache Software Foundation’s Spark project to prepare the platform for machine learning tasks, like pattern recognition and classification of objects. The company plans to offer Bluemix Spark as a service and has dedicated 3,500 researchers and developers to assist in its preservation and further development.

In 2009, AMPLab of the University of Berkeley developed the Spark framework that went open source a year later as an Apache project. This framework, which runs on a server cluster, can process data up to 100 times faster than Hadoop MapReduce. Given that the data and analyzes are embedded in the corporate structure and society – from applications to the Internet of Things (IoT) – Spark provides essential advancements in large-scale data processing.

First, it significantly improves the performance of applications dependent data. Then it radically simplifies the development process of intelligence, which are supplied by the data. Specifically, in its effort to accelerate innovation on Spark ecosystem, IBM decided to include Spark in its own platforms of predictive analysis and machine learning.

IBM Watson Health Cloud will use Spark to healthcare providers and researchers as they have access to new health data of the population. At the same time, IBM will make available its SystemML machine learning technology open source. IBM is also collaborating with Databricks in changing Spark capabilities.

IBM will hire more than 3,500 researchers and developers to work on Spark-related projects in more than a dozen laboratories worldwide. The big blue company plans to open a Spark Technology Center in San Francisco for the Data Science and the developer community. IBM will also train Spark to more than one million data scientists and data engineers through partnerships with DataCamp, AMPLab, Galvanize, MetiStream, and Big Data University.

A typical large corporation will have hundreds or thousands of data sets that reside in different databases through their computer system. A data scientist can design an algorithm using to plumb the depths of any database. But is needs 90 working days of scientific data to develop the algorithm. Today, if you want to implement another system, it is a quarter of work to adjust the algorithm so that it works. Spark eliminates that time in half. The spark-based system can access and analyze any database, without development and no additional delay.

Spark has another virtue of ease of use where developers can concentrate on the design of the solution, rather than building an engine from scratch. Spark brings advances in data processing technology on a large scale because it improves the performance of data-dependent applications, radically simplifies the process of developing intelligent solutions and enables a platform capable of unifying all kinds of information on real work schemes.

Many experts consider Spark as the successor to Hadoop, but its adoption remains slow. Spark works very well for machine learning tasks that normally require running large clusters of computers. The latest version of the platform, which recently came out, extends to the machine learning algorithms to run.