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Johns Hopkins University via Coursera Learning path or series

Big Data Processing Using Hadoop

Overview

The specialization "Big Data Processing Using Hadoop" is intended for post-graduate students seeking to develop advanced skills in big data processing and management using the Hadoop ecosystem. Through four detailed courses, you will explore key technologies such as HDFS, MapReduce, and advanced data analysis tools like Hive, Pig, HBase, and Apache Spark. You’ll learn how to set up, configure, and optimize these tools to process, manage, and analyze large-scale datasets. The program covers fundamental concepts such as YARN and MapReduce architecture, and progresses to practical applications such as Hive query execution, Pig scripting, NoSQL management with HBase, and high-performance data processing with Spark.

By the end of the specialization, you will be capable of designing and deploying big data solutions, optimizing workflows, and leveraging the power of Hadoop to address real-world challenges. This specialization prepares you for roles such as Data Engineer, Big Data Analyst, or Hadoop Developer, making you a highly competitive candidate in the fast-growing big data field, ready to drive innovations in industries such as data science, business analytics, and machine learning.

Courses in this learning path or series 4

  1. Big Data and Hadoop Foundations and Setup
  2. HDFS Architecture and Programming
  3. YARN MapReduce Architecture and Advanced Programming
  4. Data Analysis Using Hadoop Tools

Advantages and disadvantages

Advantages

  • Structured courses with graded quizzes, assignments and deadlines you can reset.
  • A shareable certificate from the university or company when you pay.
  • Financial aid is often approved for students in India (apply 15 days before you need it).
  • Taught by Johns Hopkins University, one of the strongest names in its field.
  • Self-paced: start any time.
  • A clear syllabus (4 parts) you can see before you start.

Disadvantages

  • Paid after a 7-day free trial (Coursera Plus or per course).
  • Some courses can be audited for free, but graded work and certificates need payment.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

  • Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
  • Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Taught by

  • Karthik Shyamsunder

Johns Hopkins University is in Tier 1: world-leading universities and India's top institutes of our institution ranking (93/100).

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