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  • 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
    23382
  • 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
    18300
  • The 7 Habits of Successful Data Scientists

    A Data Scientist is always a person with a win win approach.If he is not having a win win approach than he is not a Data Scientist. The article presents the 7 habits that every successful Data Scientist carries.

    Source: HOB
    45546
  • Recommended: Best Online courses to learn Apache Hadoop

    Processing a large number of big datasets is a challenge faced by companies until the advent of Apache Hadoop and Spark. Hadoop and Spark provide businesses with that data processing speed that businesses have always dreamt of with their data.

    Source: HOB
    7686
  • Top 5 Technical skills Every Data Scientist Should Master in 2019

    With regard to a Data Scientist apart from the soft skills and the business acumen technical skills also becomes a very important part.

    Source: HOB
    7425
  • See some Best-Known Big Data tools, their Advantages and Disadvantages to Analyze your Data

    So here are some Big Data Analytics tools which we will explore in detail in this article.

    Source: HOB
    32946
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