Summer Internship 2018 on BigData Hadoop

Wait is Over – Summer Internship 2018 on BigData Hadoop – Data Analytics (Batch Processing Using Hadoop & Real Time Streaming with Spark & Cassandra) by Renowned Industry Expert – Mr. Vimal Daga at LinuxWorld Informatics Pvt Ltd Jaipur
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Technologies Involved : BigData Hadoop, Spark, Cassandra, HBase, Cloudera, Python, DevOps – Ansible, Dockers, ElasticSearch, IoT, Splunk, RedHat Linux and much more……

Know Your Mentor : Mr. Vimal Daga – https://www.linkedin.com/in/vimaldaga

Applications are Open !! Every Year participants get benefited by learning, exploring and implementing all the market demanded technologies under the Expert Guidance of Mr. Vimal Daga & also by getting PLACED IN THEIR DREAM COMPANIES WITH CORE TECHNICAL PROFILE

For technical guidance feel free to get in touch with us at +91 9829105960

For further details about Summer Internship Program 2018 – http://www.linuxworldindia.org/linuxworldindia-summer-industrial-training.php

Click Here to Apply: Summer Training 2018 Application Form (read “How to Apply” tab before click)


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


Summer Training on BigData Hadoop With Spark and Cassandra

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


Real Time Industry Based Summer Industrial Training

Wait is Over – Learn & Implement – Real Time Industry Based Projects on Most Demanding Technologies – Cloud Computing & Big Data Hadoop


Under the Mentorship of Mr. Vimal Daga (CTO – LinuxWorld Informatics Pvt Ltd, Sr. IT – Cloud, BigData & DevOps Consultant, Motivational Speaker & Corporate Trainer) – https://goo.gl/kKNx48

Summer With a Research Based Project –
1. DEVELOPING & DEPLOYING YOUR OWN CLOUD INFRASTRUCTURE – Technologies Involved RedHat Linux, Python, Cloud, AWS, DevOps, Splunk, IoT, Android

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

For further details : http://bit.ly/1wkFPNv

Confused as in which project or which technology to choose, then feel free to call us at +91 9829105960


Testimonial of Summer Intern 2016 – Mr. Gouri Shankar (NIT Jamshedpur)

“My internship at LinuxWorld, Jaipur was a great learning experience. The internship was a valuable resource and real world experience for me.” – In his very own words – It gives us immense pleasure to have such dedicated interns who are really willing to explore and learn so that they can easily meet Industry Needs.

Keep it Up Gouri Shankar – Best of Luck !!

 


Cloud Computing Summer Training 2017

Cloud Computing is a modern and most demanding technology. Cloud Computing word can be referred Software as a Service (SaaS) which is a type of set-up where the applications are distributed over a broad program of computers worldwide. The main benefit of cloud computing technology is, it can distribute computing over a network and it is very cost effective technology. It has the capacity to run a course on large number of personal computers at the same time.

Cloud Computing Quick Definitions:

  • Delivering hosted services and application over the Internet.
  • Can be described as an: “Internet-Centric Software”
  • SaaS – ‘Software as a Service’ is the most common cloud type used today.
  • Majority of internet users in one way or another have used cloud software, and that include Email, Facebook, Twitter, LinkedIn, etc…

Some Benefits:

  • Minimize/eliminate IT infrastructure costs.
  • On-demand scalability (Scale up & down depending on the company IT needs).
  • Accessibility of the hosted software from any place where internet connectivity is available
  • Help companies focus on their core organizational goal and objectives.

 

Private Cloud vs Public Cloud:

Private Cloud: generally controlled, managed and hosted by an organization within a private data center or that of a third-party service provider. In private clouds service access can be limited and customers have some control/ownership of the service implementation.

Benefits:

  • Reduced Risk
  • Increased Operational Control
  • Improved Security & Trust
  • Greater Flexibility
  • Better IT Visibility

Considerations:

  • Cost
  • Scalability
  • Time to Implement
  • Staff / Learning Curve

Public Cloud: a data center made available in a metered manner to the public for purchase, resale or as a pay-as-you-go service. With public cloud, you are sharing infrastructure with others and receive a standardized, yet highly scalable, type of capacity, on demand.

Benefits:

  • Increased Utilization
  • Reduced Time to Market
  • Increased Agility
  • Improved Collaboration
  • Decreased costs

Considerations:

  • Privacy and Security
  • Reliability and Availability
  • Transition and Execution
  • Limited Scope for Customization

The Cloud Computing Stratosphere

There is ever-growing number of companies providing “Cloud-based” services for businesses. These range from communications and social applications to deployment platforms that form backbone of a company’s infrastructure. As new offerings emerge, customers, marketers and the industry at large may each have a different view of the strata. Here is one take on where the major players fit into the shifting cloud atmosphere.

 

 

 


MAKING INDIA, VIRTUAL READY – CLOUD !!

MAKING INDIA, VIRTUAL READY – CLOUD !!
WINTER INDUSTRY FOCUSED TRAINING 2016 – 2017
(Exclusively for our LinuxWorld Students only)
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Completely Designed & Delivered by – Mr Vimal Daga – Inculcating Actual need of corporate (Use Cases)

Utilise your Winter Vacations at right place under the right guidance of Mr. Vimal Daga

Training Content : RedHat Linux + Python + Cloud Computing + Dockers + DevOps + Splunk

Fee – INR 3,500 + Service Tax

Old Cloud Computing Students – Free of Cost

To know more : http://bit.ly/2fkec2k

Lets Join Hands Together for our very own Mission – Stand for What’s Best – Be Hero of your Life !!

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

cloud-ready


Difference Between Data Scientist and Data Analyst

Jobs related to Data Science have topped the charts in job portals. There are job openings for various job titles like Data Scientists, Data Analysts, and Data Engineers. Though all these job titles deal with data and sound similar, they do have a number of detailed differences.  Ever wondered how different they are from each other? I did! And here are the differences I found between a Data Scientist and a Data Analyst.

Data Scientist – Rock Star of IT

A Data Scientist is a professional who understands data from a business point of view. He is in charge of making predictions to help businesses take accurate decisions. Data scientists come with a solid foundation of computer applications, modeling, statistics and math. What sets them apart is their brilliance in business coupled with great communication skills, to deal with both business and IT leaders. They are efficient in picking the right problems, which will add value to the organization after resolving it.

Harvard Business Review has named ‘Data scientist’ as the “sexiest job of the 21st century. Up-skill with Data Science now to take advantage of the career opportunities that come your way.

 

A Data Scientist can also be divided into 4 different roles based on their skill sets.

  • Data Researcher
  • Data Developers
  • Data Creatives
  • Data Businesspeople

Data Analysts – No Cool Tag Yet!

Data Analysts also plays a major role in Data Science. They perform a variety of tasks related to collecting, organizing data and obtaining statistical information out of them.  They are also responsible to present the data in the form of charts, graphs and tables and use the same to build relational databases for organizations.

A Data Analyst can also be divided into 4 different roles based on their skill sets.

  • Data Architects
  • Database Administrators
  • Analytics Engineer
  • Operations

Qualification Required for Data Scientists and Data Analysts

Qualification and Knowledge required for both Data Scientist and Data Analyst

Jobs Trends of Data Scientist and Data Analytics – As per Google Trends

Here is the trend for Data Analysts jobs as per google :

Job Trends for Data Analyst

Here is the trend for Data Scientists jobs as per google with the trend picking up mostly from 2012:

datasc

 


Summer Training in Big data Hadoop

Are you s to join the race and become a BigData Hadoop expert? Then hold on a second.

These days, people are being more and more interested in learning, implementing and adopting Big Data Hadoop. And there is a strong reason behind it. The entire IT industry is evolving and one will not feel good to be left behind while rest of the crowd harnesses the benefits of Hadoop.

Nevertheless, simply learning Big Data Hadoop is not sufficient. An important aspect that you should not overlook is to know when exactly to use Big Data Hadoop.

In this blog, we, the team of LinuxWorld, the leading institute for Big Data Hadoop training in Jaipur, will share necessary tips that will help you have a better understanding on the scenarios where Big Data Hadoop should be the primary choice. So, let’s have a look.

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  • Data Size & Data Assortments

When you are handling large volume of data that comes from diverse sources and formats, then it can be said that you are handling Big Data. In such scenario, Hadoop can be the apt technology for you.

  • Planning for Future

If you feel Big Data Hadoop can be your future requirement, then the plan needs to be implemented in accordance with it. To execute Hadoop on the data, first have a good understanding of the difficulty of data and with what it is going to develop. So all what you require is a cluster planning. It may start with developing a small or medium cluster as per data available in your industry presently, and measure the cluster in future depending on the growth of the data.

  • Diverse Frameworks for Big Data

To get the best out of Hadoop, integrate it with various analytic tools, like Python and R for analytics and visualization, Spark for real time processing etc.

  • Lifetime Data Availability

Big Data Hadoop scalability makes a data live and running forever. The size of cluster no limit. You can increase it as per your requirement by adding Data Nodes to this at low cost.

If you want to learn then right away join our summer training program on BigData Hadoop.