Apache Hadoop for Big Data

Categories: Self Paced
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About Course

This is the program where you will be trained with fundamentals of big data analytics, Apache Hadoop – Cluster configuration and big data analytics using Map/Reduce. The entire content provides you with the comprehensive theory and practical knowledge driven by highly qualified professionals from the Big Data Analytics spectrum. With the help of our carefully curated training programs, you will be professionally groomed and have your skill sets enhanced. This will be done through hands-on projects, practical assignments, case studies, assessments and mock interviews.

What Will You Learn?

  • Concepts of Big Data
  • Applications of big data analytics
  • Apache Hadoop
  • HDFS
  • YARN
  • Map/Reduce

Course Content

Module 1: Introduction to Big Data
Big Data is a term used to describe the large amounts of data that are generated by businesses and organizations. It is the process of collecting, organizing, and analyzing data to gain insights and provide better decision-making capabilities. Big Data is used to find trends, patterns, and correlations from large datasets. It is typically used in fields such as healthcare, finance, marketing, and other data-intensive industries. Big Data is often used to provide a more comprehensive view of a customer or market, and can be used to improve customer service, detect fraud, and increase efficiency. Big Data is used to understand customer behavior and preferences, to predict future trends and outcomes, and to optimize operations.

  • Big Data and its characteristics
  • Sources generating big data and applications
  • Challenges associated with big data
  • Various frameworks and tools to handle big data

Module 2: Introduction to Apache Hadoop

Module 3: Hadoop distributed Filesystem (HDFS)

Module 4: Map/Reduce

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