Big Data Career- a 360 Degree View

Sanchita Lobo


June 15th, 2017

What is Big Data?

In the last decade people have been calling Data sexy and Big Data, well they are calling it a mind-blowing phenomenon that is fast changing the way we live and work. It is one of the fascinating evolution of the 21st century, and it has revolutionized the tech industry in ways we could not have imagined.  It is said that the digital universe is doubling every two years, and will reach 40,000 Exabyte (40 trillion gigabytes) by 2020. It is also said that if we take all the data we have and place it on CD’s and they were stacked up, it would form five separate piles that would all reach to the moon. Impressive, isn’t it?

Big Data has four dimensions: volume, variety, velocity, and veracity. It can be explained as a collection of structured and unstructured data, from traditional and nontraditional sources, too large and complex to process using on-hand, more traditional database management tools and applications.

As Big Data evolved, it became more about what organizations were doing with this data.  It encompassed the insights derived from this humongous (Volume) data, that could often be untrustworthy (Veracity), come from varied sources in varied formats (Variety) and could evolve, transform, and exceed current processing capacity (Velocity).

How can Big Data Help Businesses?

The power of Big Data lies in the weight of its insights; insights that have the potential to transform businesses, and offer new and interesting solutions to deal with social and economic problems.

Today Big Data is considered a huge untapped source of profit that can keep competition at bay and attract better customers. Organizations are using Big Data to make smarter, faster, and more impactful decisions by focusing on value generating efforts and capabilities. An effective Big Data strategy integrates and services various business functions and helps increase revenues, reduce risks, and bring down costs. Just having Big Data is not a sufficient criterion for success however; enterprises also need to implement analytics effectively, to be able to garner insights that help improve profitability.

Who uses Big Data?

Today so many well-known names like Amazon, Alibaba, Google, Twitter, Facebook, and LinkedIn are using Big Data successfully, as are smaller companies and start-ups, to gain insights and improve profitability. In fact, so many businesses across every industry are using Big Data to make better business decisions. Big Data allows businesses   to bring together   both online   and offline   data along   with transaction information, to better understand and service customers. The financial services sector is using Big Data to improve customer satisfaction, while also using it to combat fraud in a big way. The telecommunications industry, as it expands and grows, is also becoming heavily reliant on Big Data to gain more market share, and increase profit margins. Big Data helps them to not only provide better customer service, but it also offers insights about innovative product services and segmentation techniques, that allow for strategies that generate new sources of revenue.

Let’s find out more about how a few of the more popular and better-known industries are harnessing Big Data.

Banking: Banks are using Big Data to improve customer service, find new customers, minimize fraud, and maintain regulatory compliance. However, to really be at the top of their game, smart banks are using Big Data along with advanced analytics to sharpen risk assessment and drive revenue.

Telecommunications: Like other sectors, communications service providers all over the globe are witnessing significant data growth due to increased adoption of smartphones, the rise of social media and growth of mobile networks. Many of these firms are tackling Big Data challenges to gain more market share and increase profit margins.  Big Data can help service providers achieve some of the key business objectives –  provide better customer service with the help of internal and external data, implement innovative product services using segmentation techniques, and develop strategies to generate new sources of revenue.

Retail: One of the early adopters of Big Data, the retail industry has been revolutionized by data and advanced analytics. Recommendation engines, Customer Relationship Building, Path to Purchase and Price Optimization are just some of the ways retail businesses are harnessing Big Data.

Education: New technologies related to Big Data allow education establishments to analyze everything from student behavior, curriculum, at-risk students, student progress, as well as implement a better system for evaluation and support of teachers and principals. Big Data implementations can also help improve student results, create customized programs, and improve the learning experience.

Government: Big Data enables governments to make an impact at local, national, and global levels. From managing utilities to dealing with traffic congestion or making healthcare better and more accessible, Big Data enables governments to utilize their resources efficiently and effectively while also improving the quality of life.

Health Care: Big Data is causing a revolution in healthcare, enabling better services at lower costs. Crunching health data can result in insights that can predict epidemics, avoid preventable deaths, better maintain patient records, and streamline treatment plans.

Manufacturing: The manufacturing industry has been able to use Big Data to improve both quality of products as well as process efficiencies, while at the same time also minimizing waste, thus enabling them to stay competitive in what can be a very volatile market. Smart manufacturing businesses, by enabling a data culture to have been able to find better solutions to problems faster, thus impacting profits hugely.

Where is the Big Data Industry headed?

The International Data Corporation (IDC) predicts that the Big Data analytics market will reach USD 187 billion by 2019 and grow to more than USD 200 billion by 2020, at a compounded annual growth rate of 11.7%. They also forecast a 50% increase in revenues from the sale of Big Data and business analytics software, hardware and services by 2019. Services are slated to remain the biggest players, claiming the largest chunk of revenue, with the banking and manufacturing industries predicted to be the ones who spend the most on Big Data initiatives. There is little doubt that Big Data and analytics will soon significantly impact just about every industry across the world.

That’s why the Demand for Big Data Talent will only Increase

As the Big Data industry grows, so does the demand for Big Data talent. Companies are willing to pay big bucks to draw the best skilled Big Data professionals. These high salaries are a result of demand being far greater than supply; in just the start up arena, it is estimated that over 30,000 analytics and Big Data jobs are created each year across India.

Big Data Salaries

Big Data Analysts get paid an average of Rs. 9.93 lacs per annum, and if they club it with Machine Learning skills, they bag a cool Rs. 13.94 lacs per annum on an average.

People with full stack knowledge of Big Data, not just Hadoop are currently in high demand. Hadoop, in combination with Spark and Tableau, along with knowledge of popular databases like Mongo and Cassandra, will make for that rare Big Data Unicorn.

You can get more such exciting information about salaries and trends in the Analytics and Big Data industry with the Analytics Industry Report 2017 – Salaries & Trends. Download now!

 

What does a Big Data Analyst Really Do?

A Big Data analyst, would primarily be responsible for:

  • Processing and analyzing data, using specialized analytic tools.
  • Applying statistical and modelling algorithms to forecast and predict business data.
  • Managing and processing data from very large data bases in real time.
  • Processing data using SQL and other advanced programming techniques.
  • Managing data using distributed computing platforms.
  • Supporting Business Decision making.

What are the Essential Skills a Big Data Professional Needs to be able to do all this?

If you are thinking of a career in Big Data, you need to invest in the skills that Big Data recruiters are looking for in candidates. Essentially Big Data professionals need both programming and analytical skills. They also need relevant domain as well as business knowledge and great communication and persuasion skills. And finally, what also goes a long way is being well versed in information/technology management. Of course, as important are the intrinsic skills like an analytic mind-set, being proactive, intuitive, and having good inter personal skills.

Let’s understand some of the key skills a little better:

  1. Data skills:  As the name Big Data implies, the data sets dealt with are at a very large scale. From an analytics point of view, one needs to filter out the relevant data because Big Data is often quite unstructured. Data Visualization, integration, matching, merging, cleaning, scaling and standardizing are other aspects essential to preparing the Big Data for Analytics.
  2. Technology skills: The traditional technologies used for data analytics are not only incapable of handling/ storing Big Data, but it can also be quite expensive. Big Data technologies are still evolving. The most commonly used technologies are Hadoop, MapReduce, and NoSQL. Most of these are open source but require programming knowledge. The advantage of open source technologies is that they help in analyzing Big Data cost effectively. Since the algorithms are still evolving, the pitfall at this point is reliability and accountability of technologies. Thus, the technology essential for Big Data is twofold – Data warehousing/storage and algorithms to build solutions.
  3. Analytics skills: While technical skills are a very important component of Big Data Analytics, as important are your analytic skills. This includes working with the outputs and coming up with high end recommendations and insights to aid business growth. You can be involved in descriptive, predictive, or prescriptive analytics, which talks about how to churn outputs using great technologies into actionable insights at various stages of analysis. Essentially a combination of analytics and technology are the means to achieve the goal of business development and profitability.
  4. Business and communication skills: It is important to keep an eye on what is the goal of performing the analysis. Thus, business intelligence goes hand in hand with technology while working on Big Data. Presentation skills are also a very crucial skill for Big Data professionals. They need to creatively present results using sophisticated Data Visualizations which present high-end business solutions in a crisp and concise manner. Termed as soft skills, an ideal candidate needs not only to be able to communicate and deliver information effectively but they also need to comprehend things well and listen to the client, to really understand the business problem to begin with.

How to get Skilled?

If you are convinced that your future lies in Big Data, then you need to invest in obtaining some Big Data technical skills at the earliest. Take the time to investigate all the Big Data Training options available and choose one that best suits your learning as well as personal needs. You might choose to start with the many free MOOCs available or dive straight into a deeper certification program or even a master’s program (part time, full time or even advanced online degree programs).

However here is a tip- even before you complete a certified course or program, you can build your skills by being proactive and spending time on extra projects either at work or in your own time. Access a data set and perform a little analysis on it, contribute to open source projects or take part in data hackathons. Try to find ways to integrate Big Data into the current work you perform. Not only will it build your skills, but you will also impress your current employer. Also take time stay in touch with the industry and keep abreast of innovations in the Big Data world. Read books on Big Data, follow experts and blogs on Big Data and participate in competitions. The more knowledge you gain, the bigger the edge you will have.

Now you have understood quite comprehensively the skills that are needed to begin a career in Big Data and can hopefully truly comprehend the exact role of a Big Data professional. You also have a fair idea of how you can get the skills you need. So, are you are convinced it is the right career for you. If not, then here is a reminder of the key reasons why a career in Big Data is the way to go:

  1. Niche skills are always in demand. You will not only be at the forefront of analytics, but it will also give you an edge in the job market.
  2. Big salaries.
  3. Faster Growth paths that ensure that your career is bright and promising.
  4. You will never have Monday blues, as your work will always be exciting and challenging and will give you high job satisfaction. You will continuously can work on innovative technologies and innovative techniques.

Also Read

Will Big Data Replace Data Warehouse?

Is Big Data Dying?
 


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