Hadoop Fundamentals

This Hadoop Fundamentals course is a perfect choice for those who want to gain the understanding of concepts like Big Data and Hadoop from the scratch.


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3 Hours

Course Duration

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This Hadoop Fundamentals course is a perfect choice for those who want to gain the understanding of concepts like Big Data and Hadoop from the scratch.

Course Information

About this course:

This course teaches about the Hadoop basic concepts. This Hadoop Fundamentals course is a perfect choice for those who want to gain the understanding of concepts like Big Data and Hadoop from the scratch. The course does not cover advanced level concepts though. However, by the end of this course, students will have an understanding of what goes behind the processing of huge volumes of data as the industry shifts from the excel-based analytics to real-time analytics.

Along with covering the basics of the program, the course will also give a general understanding of the commercial distributions of Hadoop alongside the features of the Hadoop ecosystem.

Learning objectives:

The course has the following learning objectives:

  • Gaining understanding of the features and components of Big Data
  • Explaining the fundamental concepts of Hadoop and HDFS structure
  • Enlisting the components and working of MapReduce
  • Getting knowledge of the fundamental concepts of Pig, Hive and HBase
  • Gaining a general insight on the commercial distributions of Hadoop
  • Gaining comprehension of the important features of the Hadoop ecosystem
  • Getting introduction of Sqoop & ZooKeeper


This course, Hadoop Fundamentals is intended for those experienced professionals who want to know the basics of Big Data and Hadoop. The course is extremely useful for those professionals who are on senior position in management and want to gain a theoretical comprehension of the way in which Hadoop can resolve their Big Data problem.




More Information

More Information
Subjects Big Data
Lab Access No
Technology Hadoop
Learning Style Self-Paced Learning
Learning Type Course
Difficulty Beginner
Course Duration 3 Hours
Language English
VPA Discount VPA Discount


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As a Data Scientist and Software Architect Tom has extensive experience in data science, engineering, architecture and software development. To date Tom has accumulated over a decade of experience in R, Python & Linux Shell programming.

Tom has expertise on Python, SQL, and Spark. He has worked on several libraries including but not limited to Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, SciPy, NLTK, Keras, and Tensorflow.

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