What Skills Will You Gain
HDFS architecture and file storage
MapReduce processing fundamentals
YARN resource management basics
Overview of the broader Hadoop ecosystem
$49.95
$15.99
0% Off
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$49.95
$15.99
0% Off
$0
$0
The Hadoop Basics course covers foundational big data processing concepts using the Hadoop ecosystem. Through video lessons and hands-on exercises, you'll build practical, job-ready skills at your own pace. There's no proctored exam tied to this course — it's designed purely to build and demonstrate real capability.
The Hadoop Basics course is built by Whizlabs to walk through these concepts step by step, so the skills you build here transfer directly to real projects.
HDFS architecture and file storage
MapReduce processing fundamentals
YARN resource management basics
Overview of the broader Hadoop ecosystem
24x7 support from Apache Hadoop-certified experts
This course is valid for 2 years from the date of purchase
Practice tests with unique, exam-style questions
Detailed explanations for every practice question
Hands-on labs using real Apache Hadoop services
Content aligned to current tools and best practices
This is a skill-building course rather than a proctored exam, so there are no official domains or weightings to report. Instead, here are the core skill areas the Hadoop Basics course is built around.
HDFS architecture and file storage
MapReduce processing fundamentals
YARN resource management basics
Overview of the broader Hadoop ecosystem
The Hadoop Basics course lays out a clear, self-paced path, so you're not guessing what to work through next.
Start with the video lessons in this Hadoop Basics course to build a working model of the core concepts. Then move into the hands-on labs, where you apply what you've learned in a real environment instead of only reading about it.
Since this is a skill-building course rather than a certification exam, there's no practice test score threshold to hit. "Finishing" simply means working through the videos and labs end to end until you're comfortable applying these skills on your own projects.
The Hadoop Basics course has no formal prerequisites, so there's no prior certification required to start. It's built as an accessible entry point for anyone building these skills, whether or not you've worked with this technology before.
Because this is a skills course rather than a vendor certification, there's no exam validity period to track. You keep access to the Hadoop Basics course and its updates for as long as your course access remains active, per current Whizlabs course terms.
Many learners pair the Hadoop Basics course with a related certification-track course to build both practical skill and a formal credential.
This course builds practical, job-ready skills in foundational big data processing concepts using the Hadoop ecosystem. It's a fast way to pick up in-demand capability without needing a formal exam, so you can apply what you learn right away.
Positions you for data engineers and big data developers roles, and signals proven, job-ready expertise in foundational big data processing concepts using the Hadoop ecosystem.
Helps your organization apply foundational big data processing concepts using the Hadoop ecosystem more effectively, reducing risk and improving efficiency in real deployments.
Deepens your hands-on understanding of foundational big data processing concepts using the Hadoop ecosystem, moving beyond theory into practical, job-ready skills.
Foundational skills like this are consistently linked to stronger salaries and career growth in Apache Hadoop-related roles.
Exam Format and Information
Prior Certification
Not Required
Course Validity
Not Applicable*
Course Fee
Not Applicable*
Course Duration
Not Applicable*
No Proctored Exam
Not Applicable
Assessment
Not Applicable
Best for those with hands-on or working familiarity with foundational big data processing concepts using the Hadoop.
English.
Video lessons and hands-on exercises (no proctored exam).
There are no formal prerequisites for this course. Hands-on experience with foundational big data processing concepts using the Hadoop ecosystem makes it more approachable. It's designed for data engineers, big data developers, and anyone building these skills.
Data engineers working with foundational big data processing concepts.
Big data developers building foundational skills.
IT professionals expanding into this specialization.
Consultants advising clients on Apache Hadoop best practices.
Students and career changers entering the field.
Anyone pursuing the Hadoop Basics skill set.
Get help from experienced instructors whenever a concept doesn't click.
Work through real, guided exercises using live Apache Hadoop tools and environments.
Learn at your own pace with lifetime-style access to lessons and labs.
Earn a completion certificate to showcase your new skills.
Testimonials
Overall Feedbacks
Hadoop Basics training course contains over three hours of training videos that cover different fundamental topics on Hadoop. Learners can find a total of 8 lectures in the Hadoop basics training course. The course is available with the facility of 2 years unlimited access on different device platforms such as PC, Mac, and iOS and Android devices. In addition, we also provide highly responsive customer support and subject matter expert support related to the course.
Any individual aspiring to build a career in Big Data can start learning Hadoop basics. There is no specific rule mentioning that only professionals with Java programming experience can learn Hadoop. Business intelligence professionals, data warehousing professionals, and professionals with different backgrounds in SAP, Mainframe, ETL, or any other technology could start learning Hadoop.
The Whizlabs Hadoop basics training course is crafted by some of the best minds in the Whizlabs team. With their years of experience and skills in the Hadoop ecosystem, the course is an ideal gateway for any individual aspiring to learn about Big Data. This course would help you learn all the basics for building your own data processing file system. Furthermore, the training in Hadoop basics can also strengthen your command over big data analytics skills effectively.
The major components of Hadoop architecture are as follows,
Candidates aspiring to learn Hadoop basics must have in-depth knowledge of different programming languages, according to their role. For example, expertise in Java can prepare you for development-based roles, while R or Python can help you land up with analysis-based Hadoop job roles. The next important prerequisite for learning Hadoop basics refers to a comprehensive knowledge of SQL. The final prerequisite to learn Hadoop basics refers directly to the knowledge of Linux because the majority of Hadoop deployments are based on Linux.
If you are searching for any specific reason to learn Hadoop basics, then career opportunities would come first. However, here are some of the other promising reasons to learn Hadoop fundamentals.
The most important features of Hadoop which make it popular are as follows,
Hadoop has been very popular since its introduction in 2004 and is now a must-have skill in the field of data analytics. The open-source nature of Hadoop is one of the foremost reasons to consider the importance of Hadoop. In addition, the Hadoop ecosystem is also a key highlight of Hadoop, keeping it ahead. It provides storing and processing capabilities along with the facility of collecting data from RDBMS and use HDFS for organizing it on the cluster. Most important of all, Hadoop provides the much-needed advantage of cost-effectiveness.
4.9/5
4.8/5
Manish Purohit
Manish Purohit
