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Hadoop and Spark Fundamentals: Unit 1
This course provides a practical introduction to the Apache Hadoop ecosystem. You will learn the basic skills needed to analyze and manage large, unstructured datasets. The course covers core concepts such as the data lake, MapReduce, and using Spark for analytics. You will install and configure Hadoop on your own computer using the Hortonworks HDP sandbox. The course includes instruction on the Hadoop Distributed File System (HDFS), its architecture, and how to use it in real-world situations. This course is suitable for beginners and those looking to expand their data analytics skills. By the end, you will understand the fundamentals of Hadoop and Spark for scalable data processing.
Duration
4 Months
Institution
Pearson
Format
Online
Eligibility Criteria
school
Academic Foundation
A recognized Bachelor’s degree or high school equivalent required for admission into Pearson.
language
Language Proficiency
English proficiency required. IELTS, TOEFL, or standard medium-of-instruction certificates accepted.
Detailed Fees Breakdown
Base Tuition Fee
$136
Total Est. Investment
$136
Scholarships and early-bird waivers may apply. Contact admissions for exact institutional fees.
Academic Trajectory
Program Outcome
Graduates of the Hadoop and Spark Fundamentals: Unit 1 program at Pearson are equipped with global perspectives, ready to excel in international markets and top-tier career opportunities.