Introduction to Big Data

Systems or Organizations or Applications were using all Structured Data only ( Structured Data means In the form of Rows and Columns). It was very easy to use Relational Data Bases (RDBMS) and old Tools to store, manage, process and report this Data.

CAREER OPTIONS AFTER BIG DATA

Big Data Engineer

Big data engineers are the professionals who are responsible for building the designs made by solution architects. It is one of the well-known and demanding big data careers. It is the most common role in the big data world. A big data engineer is the one who develops, tests, maintains, and manages big data solutions in the organizations.

Data Scientist

One of the most sought-after among available big data careers, the data scientists are the people who use the analytical and technical skills for the extraction of insights from the big data. They turn the structured and unstructured data into meaningful insights.

Big Data Analyst

This is the most sought-after role in the big data field, and the talent is usually scarce for this. The big data analyst requires the fundamental knowledge of the big data technologies like Hadoop, Hive, Pig, etc. 

Data Visualization Developer

This role involves the responsibilities of designing, developing, and supporting the data visualization activities. The data visualization developers are responsible to design, conceptualize, and develop graphic or data visualizations. They have the strong technical skills for using relevant technologies to implement the visualization.

Business Analytics Specialist

This role is for the special expert in the field of business analytics who helps in the development of scripts, to test scripts, and perform testing. They even take up the business research activities to understand and analyze the issues to develop cost-effective solutions.

Big Data Uses

  • Product Development – Companies like Netflix and Procter & Gamble use big data to anticipate customer demand.
  • Customer Experience – The race for customers is on. A clearer view of customer experience is more possible now than ever before.
  • Fraud & Compliance – When it comes to security, it’s not just a few rogue hackers—you’re up against entire expert teams.
  • Operational Efficiency – Operational efficiency may not always make the news, but it’s an area in which big data is having the most impact. 
  • Drive Innovation – Big data can help you innovate by studying interdependence among humans, institutions, entities, and process and then determining new ways to use those insights.
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WHY OR WHY NOT BIG DATA

4 V’S Of Big Data

  • Volume – The main characteristic that makes data “big” is the sheer volume.

  • Variety – Variety is one the most interesting developments in technology as more and more information is digitized.

  • Veracity – Veracity refers to the trustworthiness of the data.

  • Velocity – Velocity is the frequency of incoming data that needs to be processed. 

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Benefits of BIG DATA

  • Improved business processes: Probably the biggest advantage of big data is it helps businesses to gain a huge competitive advantage. 
  • Fraud detection: This advantage of using big data comes from the implementation of machine learning technologies.
  • Improved customer service: One of the most common goals among big data analytics programs is improving customer service. 
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DEMERITS OF BIG DATA

  • Privacy and security concerns: Probably the biggest disadvantage of big data is that it can make businesses a softer target for cyber attackers. 
  • Need for technical expertise: Working with big data needs a great deal of technical proficiency and that’s one of the key reasons for which big data experts and data scientists belong to the highly paid and highly coveted group in the IT landscape.

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TRAINING OFFERED BY WAC

 

2 Days WAC Workshop

Big Data

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WAC Virtual Training

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SALARY AFTER Big Data COURSES

The average salary for “big data” ranges from approximately $71,911 per year for Data Analyst to $139,485 per year for Software Architect.

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BIG DATA IN BUSINESS GROWTH

At present, nearly 53% of businesses use big data analytics, which is a 17% increase since 2015. The telecom and financial services are the two industries to have adopted big data with the technology and healthcare industries being the third and fourth respectively.
By 2020, it is estimated that the volume of big data will rise from 4.4 zettabytes to approximately 44 trillion gigabytes! This volume will shatter all the former data trends and set a completely new business world.

TOP COURSES, INSTITUTE & UNIVERSITY BIG DATA

Top 7 Big Data University in Delhi

Top 7 Big Data
University/ colleges in India

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Top 7 Training
Institutes of
Big Data

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 Top 7 Online
Big Data Training Programs

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Top 7 Companies to Get Placed After Learning Big Data

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