5 Hadoop Courses to Process Large Datasets for Data Engineers
Hadoop is an open-source framework that handles and processes massive data sets efficiently. Thus, it is a huge requirement for data engineers, and its capabilities become more important as organizations increasingly rely on big data analytics to make decisions. This technology allows users to store large amounts of structured and unstructured data across a distributed computing environment, enabling parallel processing that significantly speeds up data analysis. Hadoop courses equip learners with the skills to utilize its components, such as HDFS for storage and MapReduce for processing, providing a solid foundation for tackling massive datasets.
Top Online Hadoop Courses
Best-suited Apache Hadoop courses for you
Learn Apache Hadoop with these high-rated online courses
1. Data Engineering, Big Data, and Machine Learning on GCP Specialization
The Data Engineering, Big Data, and Machine Learning on GCP Specialization prepares you for the Google Cloud Professional Data Engineer certification. In this course, you will gain practical experience through hands-on labs on the Qwiklabs platform. The course covers essential topics such as BigQuery, Cloud SQL, and Dataproc, enabling learners to understand and utilize key Google Cloud products for data processing and analysis.
By completing this course, you will develop a strong foundation in designing and managing data processing systems on Google Cloud. You will learn how to migrate existing workloads to the cloud, perform interactive data analysis using BigQuery, and choose appropriate data processing tools based on project requirements.
| Course Name |
Data Engineering, Big Data, and Machine Learning on GCP Specialization |
| Duration |
3 months |
| Provider |
|
| Course Fee |
Subscription-based - Rs. 4,117/month (Audit for free) |
| Trainer |
|
| Skills Gained |
Hadoop, Tensorflow, Bigquery, Google Cloud Platform, Cloud Computing |
| Students Enrolled |
120,300+ |
| Total Reviews |
4.6/5 (12,429 reviews) |
Must Explore: Apache Hadoop Courses
2. The Ultimate Hands-On Hadoop - Tame your Big Data!
It is a comprehensive data engineering course offering an in-depth exploration of 14 trending technologies, such as HDFS, MapReduce, Pig, Spark, Hive, MySQL, HBase, Cassandra, MongoDB, etc. The learners will learn to design distributed systems for managing big data using Hadoop and related technologies. The course also includes interactive querying with Drill, Phoenix, and Presto, equipping students with the skills to choose suitable data storage technologies for various applications. By the end of the course, the course takers will have a solid understanding of Hadoop and its associated distributed systems, allowing them to apply these skills to real-world problems effectively.
| Course Name |
|
| Duration |
14.5 hours |
| Provider |
|
| Course Fee |
Rs. 599 (Original Price Rs. 3,999, currently available at a discount of 85% ) |
| Trainer |
Frank Kane - Ex-Amazon Sr. Engineer and Sr. Manager, CEO Sundog Education; Sundog Education Team |
| Skills Gained |
Data Engineering, Hadoop, MapReduce, HDFS, Spark, Flink, Hive, HBase, MongoDB, Cassandra, Kafka |
| Rating |
4.6/5 (36,400+ ratings) |
| Students Enrolled |
184,000+ |
3. Professional Certificate Program in Data Engineering
The Post Graduate Program in Data Engineering offered by Purdue University Online in collaboration with Simplilearn is designed to help learners make a career in data engineering. Participants will engage in over 150 hours of live online classes led by industry experts. The course covers over 25 key technologies. The program includes hands-on projects that utilize real industry datasets from companies like YouTube, Glassdoor, and Facebook.
The curriculum is aligned with major certifications such as Microsoft DP-203, AWS Certified Data Engineer - Associate, and SnowPro® Core Certification. Upon completing the program, learners will receive a joint certificate from Purdue University and Simplilearn.
The course is part of Simplilearn's JobAssist program, allowing the learners to increase their visibility to top hiring companies.
| Course Name |
Professional Certificate Program in Data Engineering |
| Duration |
32 weeks |
| Provider |
Simplilearn |
| Course Fee |
Rs. 1,69,999 |
| Trainer |
Aly El Gamal - Assistant Professor, Purdue University and 4 other industry experts |
| Skills Gained |
Apache Hadoop, Real-Time Data Processing, Data Pipelining, Big Data Analytics, Data Protection, Data Visualization, etc. |
| Rating |
4.5/5 |
4. Professional Certificate course in Data Engineering by IITK
The Professional Certificate course in Advanced Data Engineering from E&ICT Academy, IIT Kanpur, is structured for working professionals and students who want to enhance their skills in data engineering. This program offers a hands-on learning experience with over five projects that help build a robust portfolio. The course includes live online classes, ask-me-anything sessions, hackathons, and personalized feedback on assignments. This certificate course covers sessions focused on soft skills and provides doubt-clearing opportunities with mentors. The learners also have the option to learn in Hindi. After completing the course, the learners will receive a globally recognized certification identifying them as certified Professional Data Engineers, Big Data Engineers, or Data Architects.
| Course Name |
Professional Certificate Course in Data Engineering |
| Duration |
32 weeks |
| Provider |
|
| Course Fee |
Rs. 145000 |
| Skills Gained |
Data Engineering, Hadoop, Python, RDBMS, SQL, MongoDB, etc. |
5. Introduction to Big Data with Spark and Hadoop
The Introduction to Big Data with Spark and Hadoop course provides a foundational understanding of big data characteristics and its applications in analytics. Learners will explore the features, benefits, and limitations of various big data processing tools, including Hadoop and Hive, which help address the challenges posed by large datasets. The course covers essential components of the Hadoop ecosystem, such as HDFS for storage, MapReduce for processing, and HBase for handling non-relational data, which can be very helpful for data engineers to handle massive datasets.
Students will learn the impact of big data and describe the architecture and applications of Apache Hadoop and Spark. They will also engage with Spark programming basics, including using DataFrames and Spark SQL for data manipulation.
| Course Name |
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| Duration |
5 hours |
| Provider |
Coursera |
| Course Fee |
Subscription-based - Rs. 4,117/month (Audit for free) |
| Trainer |
Aije Egwaikhide, Romeo Kienzler, Rav Ahuja - IBM |
| Skills Gained |
Big Data, SparkSQL, SparkML, Apache Hadoop, Apache Spark |
| Students Enrolled |
54,470+ |
| Total Reviews |
4.4/5 (380+ reviews) |
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