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Why Big Data and Big Data Analytics are important?

Big Data and Data Science
22 April, 2017Gireesh Babu K SArchitectureAdopting Best Practices

A comparison between Big Data, Data Science and Data Analytics

In reality all these skills are used in majority of the applications. They are not a single discipline but you will have to learn it together. However AI Oriented Data Science is key for future. Best will be to learn the AI use cases than just learning data analytics alone.

  • Big Data Features:
  • Applied where huge amount of data or possibility of growing data to that level:
    • If you have at least a TB of data in your data store it is good to consider
  • Do not care the format of the data, can be applied anywhere
  • Move away from batch process but more incremental but scalable data processing.
  • Velocity is not problem, we can scale adding more infrastructure, tool is compatible for it.
  • Definitions are changed, Big Data is a reality everywhere and every developer has to learn.

Data Science Features and Requirement:

What is really Data Science:
There are some institutes which teach data analytics and call it data science. Data science is applying data processing scientifically and systematically for solving certain problems. It is not exploring data, it is not visualising data. Traditionally many decades developers were visualising data in chart form, tabular form, clustering, mining! It is not Data Science. It is a mix of Data Engineering and AI tools. You see a problem like reading Malayalam Text or reacting to customer interactions over web. Then you need a solution and traditional tools can't do it, then Data science comes into picture. Stay away from those who are just teaching machine learning and statistics using Numpy, Pandas, Spark etc and saying it is data science. At Expertzlab you can really learn Data Science to solve certain problems and enhanced solutions. Learn Cyber Security, Virtual Reality, Robotics Process Management and execution. Watch this space for more info to help you orient your career.
Tags:
Data scienceBig Data AnalyticsArtificial IntelligenceAngular with Mean StackReactJS with MERN StackJava Training with Spring and MicroservicesPython Training
Gireesh Babu

About Gireesh Babu

25+ years of Experienced Senior Technical Architect with TOGAF Enterprise Architecture Certification and Oracle Java Technical Architecture Certification. Certified ATG Practitioner, MuleSoft Integration Platform Trained Developer. Agile Process Expert, PMP Trained. Evangelist in Web Security and Domain Driven Design.