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  • Whom To Hire Data Scientist or Data Engineer for Data?

    Data Scientist is the very demanding role in every big organisation and they have power to unlock the hidden values in the data's. They are very good at data handling and manages data at a very huge scale.

    Source: HOB
    14748
  • Collection Of Popular Big Data Tools On The Basis Of Popularity, Usefulness And Features

    Big Data industry and data science evolve rapidly and progressed a big deal lately, with multiple Big Data projects and tools launched in 2017. This is one of the hottest IT trends of 2018, along with IoT, blockchain, Artificial and Machine Learning.

    Source: HOB
    25296
  • How DevOps Play Crucial Role For Data Science?

    DevOps involves infrastructure provisioning, configuration management, continuous integration and deployment, testing and monitoring. DevOps teams have been closely working with the development teams to manage the lifecycle of applications effectively.

    Source: HOB
    23388
  • Why There Is A Demand For Proficient Data Scientist And How The Data Science Course Looks Like?

    There's clearly a shortage of data scientists to help companies use more of their data, so pursuing a career in the field puts today's students at a distinct advantage when it comes to staying away from the unemployment lines after graduation. Data science is fast becoming one of today's most in-demand careers, and in fact, the prescient Harvard Business Review declared data science as the sexiest career of the 21st century six years ago.

    Source: HOB
    31521
  • 7 Tools used by Data Scientists

    A Data Scientist is an expert in using some tools which are very helpful in analyzing big data sets.

    Source: HOB
    16542
  • Beginner's Guide to understand Hadoop and Spark in Data Science

    Hadoop and Spark both are used by businesses today to process big data.

    Source: HOB
    18306
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