Gain practical, hands-on experience installing and running Hadoop and Spark on your own desktop or laptop, and progress to managing real-world cluster deployments. Through engaging lessons and interactive examples, you’ll master essential concepts such as HDFS, MapReduce, PySpark, HiveQL, and data ingestion tools, while also learning to leverage user-friendly interfaces like Ambari and Zeppelin to streamline analytics workflows and cluster administration. By the end of this course, you’ll possess the foundational skills and confidence to begin your journey in big data analytics and explore the vast Hadoop ecosystem.
Hadoop and Spark Fundamentals Specialization
Hadoop and Spark Fundamentals Specialization
Get Started With Hadoop and Spark. Core components, tools, installation, and data processing for the Apache Hadoop Big Data ecosystem.
Instructor: Pearson
Included with 
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
1 month at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
1 month at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Install, configure, and operate Hadoop and Spark environments on both single machines and clusters, utilizing tools like Ambari and Zeppelin for effective management and development.
Understand and apply core big data concepts, including HDFS, MapReduce, PySpark, HiveQL, and advanced data ingestion techniques using Flume and Sqoop.
Develop, run, and debug data analytics applications, leveraging higher-level tools and scripting languages to efficiently process and analyze large datasets.
Overview
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
August 2025
11 practice exercises
Advance your subject-matter expertise
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- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
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Specialization - 3 course series
What you'll learn
Understand the core concepts of Hadoop, including its architecture, data lake metaphor, and the role of MapReduce and Spark in big data analytics.
Install and configure a full-featured Hadoop and Spark environment on your desktop or laptop using the Hortonworks HDP sandbox.
Navigate and utilize the Hadoop Distributed File System (HDFS), including advanced features like high availability and federation.
Gain hands-on experience running Hadoop and Spark applications, preparing you for real-world data analytics challenges.
Skills you'll gain
Apache Hadoop, Linux Commands, File Systems, Distributed Computing, Software Installation, Command-Line Interface, System Configuration, Data Management, Data Processing, Data Lakes, Apache Spark, Linux, and Big Data
What you'll learn
Understand and implement Hadoop MapReduce for distributed data processing, including compiling, running, and debugging applications.
Apply advanced MapReduce techniques to real-world scenarios such as log analysis and large-scale text processing.
Utilize higher-level tools like Apache Pig and Hive QL to streamline data workflows and perform complex queries.
Gain hands-on experience with Apache Spark and PySpark for modern, scalable data analytics.
Skills you'll gain
Apache Hadoop, Apache Spark, Apache Hive, PySpark, Data Processing, Text Mining, Big Data, Java, Data Mapping, Distributed Computing, Analytics, Debugging, and Java Programming
What you'll learn
Master advanced data ingestion techniques into Hadoop HDFS, including Hive, Spark, Flume, and Sqoop.
Develop and run interactive Spark applications using the Apache Zeppelin web interface.
Install, monitor, and administer Hadoop clusters with Ambari and essential command-line tools.
Utilize advanced HDFS features such as snapshots and NFS mounts for enhanced data management.
Skills you'll gain
Apache Spark, Apache Hive, Data Import/Export, Command-Line Interface, Relational Databases, Data Integration, File Systems, Apache Hadoop, Software Installation, Big Data, Data Pipelines, Configuration Management, and Data Processing
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,