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Emerging Digital Transformations in the Era of Big Data and Machine Learning

digital transformation
-Abhijeet Chirputkar, Director, Symbiosis Institute of Digital and Telecom Management (SIDTM) , Pune

Almost two decades ago, tech enthusiasts realised that conventional data management practices had become obsolete in their capacity to handle and manage the increasingly large, complex, and assorted volumes of data. Hence, the term ‘big data’ came into existence, and became the primary catalyst for the digital transformation we are witnessing today.

With big data, companies can analyze and understand their clients, customers, operations, and markets in a never before imagined magnitude. And, with such in-depth insights of sizeable data and consequent digital transformation, it has become far easier for organizations to achieve their business goals.

However, it is equally important to note that this voluminous amount of data is useless without access to right talent to analyse it. For the same reason, several opportunities have emerged across varied sectors of the several industries for candidates who are proficient in big data analysis and overall management.

Solving assignments or participating in online projects of institutes can foster better understanding of the industry trends and solutions.

According to Big Data Analytics, Job Trends at Indeed.com, there has been a constant increase in the number of job opportunities for qualified big data professionals all across the global market. In fact, almost one-tenth of the global IT market now centers around big data, analytics, and other AI related skills, especially machine learning, that help analyze and manage the data better and faster.

According to another survey, called the Peer Research – Big Data Analytics Survey, most companies believe that big data helps improve the organizations’ productivity, efficiency, and overall performance, and hence keep big data analytics as one of their organization’s top priorities.

77% Companies Consider Big Data A Top priority – QuintStreet Research

The business value or ROI that any organization can expect from their efforts and investment in digital capability platform depends on their individual data value extraction capabilities – Everest Group (Management Consultancy & Research Firm)

From a career choice perspective, several interesting and well-paying roles, ranging from approximately INR 8,02,934 to INR 21,02,934 per annum on an average (source: Edureka), have opened up in Big data for candidates to explore.

The most sought-after big data job profiles include:

  • Data Scientist
  • Data Engineer
  • Big Data Engineer
  • Big Data Analytics Architect
  • Big Data Analytics Business Consultant
  • Business Analytics Specialist
  • Analytics Associate
  • Analytics Manager
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business intelligence Engineer
  • Business intelligence Solution Architect
  • Business intelligence Specialist
  • Data Visualization Developer
  • Statistician, and many more…

Career in Big Data

If you are interested in building a career in big data and machine learning, you must be familiar with certain specialized areas and skills. You can learn and gain these essential skills either by taking different certifications one-by-one or by upskilling your qualifications by joining an institute with a pre-set curriculum involving these certifiable skills.

Data tools, skills, and certifications suggested for a rewarding career in Big Data include Online Analytical processing, ETL (Extract, Transform, and Load), Data Warehouse Working Knowledge, Business Intelligence and Analytics, Data Modeling, Applying ML Libraries & Algorithms, Probability, Statistics, Software design, Python, Java, R, SAS, Hadoop, Excel, MongoDB, Pandas, Apache Storm, Apache Cassandra, Apache Spark & Scala, Pig, Five, Flume, HBase, Cloudera, MapReduce, Zookeeper, etc.

Most people when making a move for career change towards Big Data start with learning programming languages like Python or Java. However, it is always best to start with clarifying your basics. So, it is recommended that you start learning with the fundamentals from simple data queries in SQL. On understanding the basics, moving on to Python or Java, and then other increasingly complex certifications to further entry into Big Data Career will be feasible.

Solving assignments or participating in online projects and competitions from various institutes or reviewing case studies of different organizations can foster better understanding of the industry trends and solutions.

Building a career in Big Data requires time and patience. So, if you are thinking of starting a career in big data, the best time to get started towards learning the essential skills and improving your career prospects is now.

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