10 Reasons Why Big Data Analytics is the Best Career Move

Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there

Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT. Big Data Analytics has become crucial as it aids in improving business, decision makings and providing the biggest edge over the competitors. This applies for organizations as well as professionals in the Analytics domain. For professionals, who are skilled in Big Data Analytics, there is an ocean of opportunities out there.

Why Big Data Analytics is the Best Career move

If you are still not convinced by the fact that Big Data Analytics is one of the hottest skills, here are 10 more reasons for you to see the big picture.

1. Soaring Demand for Analytics Professionals:

Jeanne Harris, senior executive at Accenture Institute for High Performance, has stressed the significance of analytics professionals by saying, “…data is useless without the skill to analyze it.” There are more job opportunities in Big Data management and Analytics than there were last year and many IT professionals are prepared to invest time and money for the training.

2. Huge Job Opportunities & Meeting the Skill Gap:

The demand for Analytics skill is going up steadily but there is a huge deficit on the supply side. This is happening globally and is not restricted to any part of geography. In spite of Big Data Analytics being a ‘Hot’ job, there is still a large number of unfilled jobs across the globe due to shortage of required skill. A McKinsey Global Institute study states that the US will face a shortage of about 190,000 data scientists and 1.5 million managers and analysts who can understand and make decisions using Big Data by 2018.

3. Salary Aspects:

Strong demand for Data Analytics skills is boosting the wages for qualified professionals and making Big Data pay big bucks for the right skill. This phenomenon is being seen globally where countries like Australia and the U.K are witnessing this ‘Moolah Marathon’.

According to the 2016 Skills and Salary Survey Report published by the Institute of Analytics Professionals of Australia (IAPA), the annual median salary for data analysts is $130,000, up four per cent from last year.

4. Big Data Analytics: A Top Priority in a lot of Organizations

According to the ‘Peer Research – Big Data Analytics’ survey, it was concluded that Big Data Analytics is one of the top priorities of the organizations participating in the survey as they believe that  it improves the performances of their organizations.

Big Data Analytics - A Top Priority in Organizations

Based on the responses, it was found that approximately 45% of the surveyed believe that Big Data analytics will enable much more precise business insights, 38% are looking to use Analytics to recognize sales and market opportunities. More than 60% of the respondents are depending on Big Data Analytics to  boost the organization’s social media marketing abilities. The QuinStreet research based on their survey also back the fact that Analytics is the need of the hour, where 77% of the respondents consider Big Data Analytics a top priority.

A survey by Deloitte, Technology in the Mid-Market; Perspectives and Priorities, reports that executives clearly see the value of analytics. Based on the survey, 65.2% of respondents are using some form of analytics that is helping their business needs. The image below clearly depicts their attitude and belief towards Big Data Analytics.

Big Data Analytics - A Top Priority in Organizations

5. Adoption of Big Data Analytics is Growing:

New technologies are now making it easier to perform increasingly sophisticated data analytics on a very large and diverse datasets. This is evident as the report from The Data Warehousing Institute (TDWI) shows. According to this report, more than a third of the respondents are currently using some form of advanced analytics on Big Data,  for Business Intelligence, Predictive Analytics and Data Mining tasks.

With Big Data Analytics providing an edge over the competition, the rate of implementation of the necessary Analytics tools has increased exponentially. In fact, most of the respondents of the  ‘Peer Research – Big Data Analytics’ survey reported that they already have a strategy setup for dealing with Big Data Analytics. And those who are yet to come up with a strategy are also in the process of planning for it.

Formal Strategy for Big Data AnalyticsWhen it comes to Big Data Analytics tools, the adoption of Apache Hadoop framework continues to be the popular choice. There are various commercial and open-source frameworks to choose from and organizations are making the appropriate choice based on their requirement. Over half of the respondents have already deployed or are currently implementing a Hadoop distribution. Out of them, a quarter of the respondents have deployed open-source framework, which is twice the number of organizations that have deployed a commercial distribution of the Hadoop framework.

Adoption of Big Data Analytics Tools

6. Analytics: A Key Factor in Decision Making

Analytics is a key competitive resource for many companies. There is no doubt about that. According to the ‘Analytics Advantage’ survey overseen by Tom Davenport, ninety six percent of respondents feel that analytics will become more important to their organizations in the next three years. This is because there is a huge amount of data that is not being used and at this point, only rudimentary analytics is being done. About forty nine percent of the respondents strongly believe that analytics is a key factor in better decision-making capabilities. Another sixteen percent like it for its superior key strategic initiatives.

Even though there is a fight for the title of ‘Greatest Benefit of Big Data Analytics’, one thing is undeniable and stands out the most: Analytics play an important role in driving business strategy and making effective business decisions.

Key Benefits of Big Data Analytics

Seventy Four percent of the respondents of the ‘Peer-Research Big Data Analytics Survey’ have agreed that Big Data Analytics is adding value to their organization and allows vital information for making timely and effective business decisions of great importance. This is a clear indicator than Big Data Analytics is here to stay and a career in it is the wisest decision one can make.

7. The Rise of Unstructured and Semistructured Data Analytics:

The ‘Peer Research – Big Data Analytics’ survey clearly reports that there is a huge growth when it comes to unstructured and semistructured data analytics. Eighty four percent of the respondents have mentioned that the organization they work for are currently processing and analyzing unstructured data sources, including weblogs, social media, e-mail, photos, and video. The remaining respondents have indicated that steps are being taken to implement them in the next 12 to 18 months.

Rise of Unstructured Data

8. Big Data Analytics is Used Everywhere!

It is a given that there is a huge demand for Big Data Analytics owing to its awesome features. The tremendous growth is also due to the varied domain across which Analytics is being utilized. The image below depicts the job opportunities across various domains.

Big Data Analytics Across Domains

9. Surpassing Market Forecast / Predictions for Big Data Analytics:

Big Data Analytics has  topped a survey carried out by Nimbus Ninety, as the most disruptive technologies that will have the biggest influence in three years’ time. Added to this, there are more market forecasts that support this:

  • According to IDC, the Big Data Analytics market will reach $125 billion worldwide in 2015.

  • IIA states that Big Data Analytics tools will be the first line of defense, combining machine learning, text mining and ontology modeling to provide holistic and integrated security threat prediction, detection, and deterrence and prevention programs.

  • According to the survey ‘The Future of Big Data Analytics – Global Market and Technologies Forecast – 2015-2020’, Big Data Analytics Global Market will grow by 14.4% CAGR over this period.

  • The Big Data Analytics Global Market for Apps and Analytics Technology will grow by 28.2% CAGR, for  Cloud Technology will grow by 16.1% CAGR, for Computing Technology will grow by 7.1% CAGR, for NoSQL Technology will grow by 18.9% CAGR  over the entire 2015-2020 period.

10. Numerous Choices in Job Titles and Type of Analytics :

From a career point of view, there are so many option available, in terms of domain as well as nature of job. Since Analytics is utilized in varied fields, there are numerous job titles for one to choose from.

  • Big Data Analytics Business Consultant

  • Big Data Analytics Architect

  • Big Data Engineer

  • Big Data Solution Architect

  • Big Data Analyst

  • Analytics Associate

  • Business Intelligence and Analytics Consultant

  • Metrics and Analytics Specialist

Big Data Analytics career is deep and one can choose from the 3 types of data analytics depending on the Big Data environment.

  • Prescriptive Analytics

  • Predictive Analytics

  • Descriptive Analytics.

A huge array of organizations like Ayata, IBM, Alteryx, Teradata, TIBCO, Microsoft, Platfora, ITrend, Karmasphere, Oracle, Opera, Datameer, Pentaho, Centrofuge, FICO, Domo, Quid, Saffron, Jaspersoft, GoodData, Bluefin Labs, Tracx, Panaroma Software, and countless more are utilizing Big Data Analytics for their business needs and a huge job opportunities are possible with them


How important is Summer Industrial Training for an Engineer?

Unlike other professions, engineering job is based on logical implementation of knowledge in a step by step manner. A successful engineer needs to have an analytically mind and keen attitude along with strong grip on their respective technology.

But with the huge increase in number of engineering students all over India, the quality of engineers is degrading because more focus is given to theoretical knowledge rather than practical application of the concepts. There comes the importance of Summer Industrial Training program which is mandatory for every engineering student.

Today all the engineering colleges have Summer Industrial Internship as a part of their curriculum and in most of the cases the student is require choosing the company for the training on their own. The objective of this training is to enhance the knowledge of the students on the different cutting edge technologies and to provide the real time exposure of the corporate world.

The industrial training program gives you a fantastic exposure with the company’s working environment and style pattern. They get to know how to interact with clients , understand their expectation , real time software applications , installations , configuration , testing and SDLC phases of the project which they have just studied till now in their books.

Working on live projects, again is a very important aspect. The things that are taught during the student life of your Engineering will be implemented while carrying out the project work.They face all the real time challenges and with the help of internship mentor they understand how to handle these problems with the most logical solution at the earliest because time is money in the real world.

The main motive for a student is ultimately to get well placed in their dream company.Their dream will only turn into reality when they will be able to match up with the expectations of the industry. They need to attain certain bench marking standards to grab a job in the competitive market and also survive in the industry.

During final placements interview the first question that is asked by the recruiters is about their Industrial Training and the project they have done because employers expect the candidates to gather at least basic fundamental knowledge on their respective domains and must understand what is expected of them in the real life scenario.

But most of the students always run to obtain a merely certificate and due to this there is serious lack of trained professionals with the desired skill sets to take on the ever increasing demand of an IT industry.

In order to overcome this problem and transforming your career into fruitful one student should join summer training programs not only for certificate but for Practical  knowledge and experience.

LinuxWorld Informatics Pvt. Ltd offer Summer training Program for Students and Company deals in Various Domain related to Training & Research.  LinuxWorld Informatics Pvt. Ltd Invites Application from students interested in all areas of Computer Science, Information Technology 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

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
  1. High Performance Distributed Computing Implements for BIG DATA using Hadoop Framework and running applications on large clusters under Containerized Docker Engine Deployed by DevOps – Super Computing with Operational Intelligence Tool – Splunk
  1. 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
  1. Setup and Configure RedHat Linux System | Server | Security Manually and Automate using Python Web Based CGI integrated with Operational Intelligence Tool Splunk

Other Platforms offered during BTech Summer Training for Students: Big Data Hadoop I Cloud Computing I CASSANDRA & SPARK – Technologies |  DevOps | Docker | Splunk | IoT | RHCSA I RHCE I RHCSS I RHCVA I RHCA  and many more to go….


Cloud Computing and its Advantages in Education

Cloud computing – the word “cloud” is normally used in synonymous to “Internet”. So cloud computing can also be termed as “Internet based computing”. Cloud computing is the process of using remote servers to store, manage and process data thereby not to use local servers.

Cloud computing revolutionize the field of education. This article shows you the various advantages of cloud computing in education.

Cloud computing has three major uses:

  1. Software as a service
  2. Infrastructure as a service
  3. Platform as a service

Software as a service:

In this method the user can access the software for the amount which is lower than the amount required for buying a licensed product.  The Software as a Service is also provided as monthly. So the user can access the software whenever on demand.

Infrastructure as a service:

Infrastructure as a service is used to by organization in order to outsource the equipment used to support operation, hardware, servers and various other networking components. The cloud providers are responsible for maintaining and running it.

Platform as a service:

Platform as a service is another form of cloud computing in which organization can rent hardware, operating system. Customers can also rent virtualized servers and other services which are essential for running the applications.

Advantages:

There are lot of advantages of using cloud computing in schools and colleges and some of them are:

  • It helps both the teachers and students to share information via cloud. That is the teachers can upload their information or study materials directly on cloud. Then the students can access the information and can gain knowledge through it.
  • Another advantage is that the students can attend classes outside the classroom. This can be attained through cloud computing. The students can log on to space and can attend their class sessions. This helps the teachers in such a way that there is no need to manage classrooms which are packed up with hundreds of students.
  • Teachers and students can access software and various tools for free through cloud computing. Confidential information can be stored in cloud which prevents less theft that may occur.
  • Cloud computing is a low cost option for various colleges and universities. It provides high computing facilities for low cost.
  • Time consuming process like admissions can be done via cloud within fraction of seconds.

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