Introduction to Big Data Technologies
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Course
Introduction to Big Data Technologies
Master the essentials of big data analytics with Hadoop and Spark. Build practical skills through hands-on exercises that prepare you for real-world applications.
Online Live Classes
Mentored
Intermediate
In todays digital era, organizations generate vast amounts of data that hold the potential to transform decision-making, innovation, and competitive advantage. Introduction to Big Data Technologies course is designed to help learners understand the fundamentals of big data, explore its impact, and gain practical skills with leading tools and frameworks.
In this course, you'll begin with the essentials of big dataits characteristics, challenges, and real-world applications. You'll then dive into industry-standard technologies like Hadoop, MapReduce, and the Hadoop ecosystem. Plus, youll explore Apache Spark, mastering concepts such as resilient distributed datasets (RDDs), data parallelism, and SparkSQL.
By the end of this course, youll be able to explain how big data systems work, navigate key tools in the ecosystem, and work confidently with scalable frameworks to manage and analyze data.
Overall, this course is an ideal starting point for career starters, IT professionals, or someone looking to switch into data-driven roles. So enroll now and take the first step into the exciting field of big data technologies!
This course comprises 3 purposely designed modules that take you on a carefully defined learning journey.
Our proven learning methodology blends the best that instructor-led training and self-paced learning have to offer. Leveraging the power of instructor feedback, mentor-supported hands-on practice, and additional home-based studying, you will build the deep technical and practical understanding todays employers are looking for.
Additionally, you will enjoy learning via an interactive online classroom environment where you will be able to participate and actively engage with your peers, instructors, and mentors. Plus, you will get the opportunity to earn recognized certifications which will help your resume and LinkedIn profile stand out.
The materials for each module are accessible from the start of the course and will remain available for the duration of your enrollment. Methods of learning and assessment will include reading material, hands-on labs, and online exam questions.
As part of our mentoring service you will have access to valuable guidance and support throughout the course. We provide a dedicated discussion space where you can ask questions, chat with your peers, and resolve issues.
Once you have successfully completed the course, you will earn your Certificate of Completion.
By the end of this course, you will be able to:
- Understand big data, including scaling, parallel processing, and real-world use cases.
- Work with the Hadoop ecosystem (HDFS, MapReduce, Hive, and HBase) for data storage and processing.
- Design and execute MapReduce jobs and use Hive for structured querying and analysis.
- Develop practical skills in Apache Spark, including RDDs, SparkSQL, and data parallelism.
- Career stage mid-level professionals (37 years of experience)
- Background software developers, data analysts, QA engineers, cloud/IT professionals
- No previous experience required.
Course Outline
Why Learn with SkillUp Online?
We believe every learner is an individual and every course is an opportunity to build job-ready skills. Through our human-centered approach to learning, we will empower you to fulfil your professional and personal goals and enjoy career success.
Reskilling into tech? We’ll support you.
Upskilling for promotion? We’ll help you.
Cross-skilling for your career? We’ll guide you.
Personalized Mentoring & Support
1-on-1 mentoring, live classes, webinars, weekly feedback, peer discussion, and much more.
Practical Experience
Hands-on labs and projects tackling real-world challenges. Great for your resumé and LinkedIn profile.
Best-in-Class Course Content
Designed by the industry for the industry so you can build job-ready skills.
Job-Ready Skills Focus
Competency building and global certifications employers are actively looking for.
FAQs
This Big Data Technology course covers the fundamentals of big data, Hadoop ecosystem components such as HDFS, Hive, and HBase, MapReduce job design, and Apache Spark concepts including RDDs, SparkSQL, and data parallelism. Learners also explore practical labs and real-world scenarios for hands-on experience.
No prior experience is required. This instructor-led Big Data Technologies course is designed for beginners, though a basic familiarity with IT or programming concepts may help you engage more effectively.
You will work with industry-standard big data tools and frameworks, including Hadoop, Hive, HBase, MapReduce, and Apache Spark. This ensures you gain practical knowledge of the most relevant big data tools and technologies used in enterprise environments.
The course runs for approximately 8 hours of instructor-led training, including live sessions, hands-on labs, quizzes, and applied projects. Supplementary resources allow additional self-paced review.
This is a live, instructor-led Big Data Technology course. Each session combines theoretical teaching with hands-on exercises, ensuring learners connect concepts to practical applications.
Yes. The course emphasizes practical learning through hands-on labs and projects. Youll design and execute MapReduce jobs, work with Hive queries, manage data in HBase, and perform distributed processing with Apache Spark.
Youll work on multiple practical projects, including Hive data analysis, Hadoop MapReduce jobs, HBase data management, Spark applications with RDDs and SparkSQL, and an end-to-end big data pipeline integrating multiple tools. These hands-on projects strengthen your understanding of Big Data Tools And Technologies.
Completing this Big Data Technologies course equips you with foundational skills for roles in software development, data engineering, analytics, and IT systems. Youll gain expertise in Hadoop, Spark, and practical big data workflows enhancing your job-ready Big Data Career Skills.
Yes. Mid-level professionals with 37 years of experience in software development, data analytics, QA, or IT can benefit from this course to expand their knowledge of big data technologies and gain hands-on experience in real-world tools and frameworks.
Hadoop focuses on distributed storage and batch processing through HDFS and MapReduce, while Spark enables faster in-memory processing with RDDs and SparkSQL. This Big Data Technology course covers both Hadoop and Spark comprehensively, allowing learners to understand their applications and differences.
Yes. The course incorporates practical labs, hands-on exercises, and projects that simulate real-world data scenarios. Youll work on end-to-end big data pipelines, Hive queries, MapReduce jobs, and Spark workflows to gain applied experience.
Yes. The course includes practice quizzes at the end of modules and graded assessments to evaluate mastery. These assessments reinforce concepts, strengthen practical skills, and ensure readiness for professional application.
Yes. Learners who complete this instructor-led Big Data Technologies course will receive a Certificate of Completion, demonstrating their skills in big data tools and frameworks.
Interactive sessions are conducted live by expert instructors, combining lectures, demonstrations, coding exercises, and guided labs. Learners can ask questions, participate in discussions, and receive immediate feedback to enhance learning.
This course benefits software developers, data analysts, QA engineers, IT/cloud professionals, and anyone looking to build big data career skills. Knowledge of Hadoop, Spark, and related tools opens opportunities in data engineering, analytics, and scalable application development.
Course Offering
Type of certificate
Certificate of Completion
About this course
03 Modules
04 Skills
Includes
Discussion Space
Hands-On Labs
Learning Material
03 Knowledge Checks
01 Final Quiz
Create
Hive Data Analysis
Hadoop MapReduce Job
HBase Project
Apache Spark Application
End-to-End Big Data Pipeline
Exercises to explore
Hive
Hadoop MapReduce
Spark with Python
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