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Big Data

Big Data

Big Data is always the right choice for Individual growth

A career in Data Science:

Nowadays almost every organization collects, stores and analyses the massive amount of data. This type of massive data is commonly referred to as “big data”. In another way you can say Big data comes with three V’s which are

High volume:  the amount or quantity of data

High velocity: the rate at which data is created

High variety:  the different types of data

Industry influencers, academicians, and other prominent stakeholders certainly agree that big data has become a big game changer in most, types of modern industries over the last few years. As big data continues to permeate our day-to-day lives, there has been a significant shift of focus from the hype surrounding it to finding real value in its use.

As 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 to 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.

Career Growth for an Individual:

There are many reasons that justify that a career in Big Data is always the right choice for Individual growth:

  1. A career in Big Data has Increased Job Opportunities:

The demand for Big Data engineers is an upward and promising trend that will in the coming years rise further. However, there is a huge gap in supply. It has been noticed that a large number of vacancies exist globally in various Big Data Engineering Jobs. India at present marks the highest concentration of Big Data professionals. Still, the demand for such analytical talent is huge.

  1. A career in Big Data fetch remunerative income:

Due to the lack of big data professionals, organizations are willingly spending their budget on heavy salaries for professionals with suitable technical knowledge. If we glance through the current salary trend for Big Data professionals, it projects an exponential progress.

  1. A career in Big Data Has a high Demand

Most of the businesses are implementing Big Data tools and techniques to boost their profits. That’s the reason there is a steady growth in the job opportunities for Big Data and this trend is going long. The skilful Big Data professionals are in-demand professionals in the IT sector across the globe. Hence, there will be no dearth of opportunities for Big Data engineers in the future ahead.

  1. Adoption of Big Data is increasing

Big data technology is continuously breaking the definition, which it is only meant for technological fields. It is spreading its wings across an array of sectors like logistics, sales, marketing, research and development, strategic management, etc.

Few Job profile and Job Titles in Big Data are listed below:

Big Data professionals have many job roles to choose from depending on their expertise. Some of the prime job responsibilities in Big Data deployment are as follows:

  1. Data Engineer:

The data engineer is involved in the process of capturing, storing and processing your data. A good data engineer not only understands and organizes the data but also curates it and delivers it. He develops the overall architecture that helps to analyse and process data in the way the organization needs it.

  1. Business Analyst:

A Business Analyst has an extremely important role in big data. The Business analyst is the link between a company’ business objectives and data program.  Business analysts determine the requirements of a project or program and communicate them to stakeholders and partners and extract value from the big data systems in a cost-effective way. Business analysts are particularly important to your organization as they have intimate industry and company knowledge. They are able to analyse business-level data with a critical eye for perceiving actionable insights that will add value to your organization.

  • Big Data Visualizer

Visualization of data in a way that it can be understandable for management of the organization is one of the best characteristics of Big Data Visualizer. A big data visualizer helps the organization to be able to gain valuable insights with interactive visuals.

  1. Big Data Solution Architect

The big data Solution architect is needed for building a big data environment on premises, the big data solutions architect is responsible for managing the full life-cycle of a Hadoop solution. It includes creating the requirements analysis, the platform selection, design of the technical architecture, the design of the application design and development, testing, and deployment of the proposed solution.

  1. Big Data Analyst:

Big data analysts are responsible for utilizing data analytics and CRM to evaluate an organization’s technical performance and providing recommendations on system enhancements. These analysts may focus on issues like streaming and live data and data migrations.

  • Who Can Learn Big Data
  • Analytics domain Beginners
  • Engineering graduates
  • Non-engineering graduates
  • Big Data analytics aspirants

 Prerequisites to Study Big Data

To pursue Big Data, there isn’t a specific strict educational background requirement. The majors that accord themselves with Big Data Science:

  • Programming
  • Data Warehousing
  • Computational frame work
  • Quantitative aptitude and statistics
  • Business knowledge

 Courses in Big Data:

  • Big Data Hadoop Certification
  • Microsoft Professional Program in Big Data.
  • Tech. in Computer Science and Engineering (Big Data Analytics)
  • Post Graduate program in Big Data
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