Learn BigData & Hadoop with Practical

🌟 Course Updated as of August 2017! 🌟

Course Headline

Learn Hadoop and BigData with Real Examples and Architecture of Hadoop

Introduction to BigData & Hadoop

Big Data refers to the large, complex data sets that traditional data processing software can't handle. These data sets come from various sources and are crucial for extracting valuable insights. For instance, big e-commerce websites leverage big data to tailor customer experiences based on preferences and browsing patterns. This comprehensive, detailed course is specifically designed for beginners and intermediates who wish to dive deep into the world of Hadoop and Big Data, with a strong emphasis on practical learning. 📊

What You Will Learn

• Understanding Hadoop & Big Data: Get an in-depth grasp of what Hadoop is and why it was developed, along with a clear picture of the Hadoop ecosystem.
• Hadoop Architecture: A detailed explanation of Hadoop's architecture will be provided, shedding light on how data is stored and managed within this powerful framework.
• Real Examples: Learn through practical examples that make complex concepts easier to understand.
• Hadoop & Big Data for Developers & Testers: This course serves as the perfect stepping stone for developers and testers aiming to enter the Hadoop/Big Data domain.
• BigData V's and Tools: Understand the 'V's of Big Data, explore Big Data tools available, and learn about the advantages of Big Data analysis.
• Demand for BigData: Discover why Big Data is in such high demand across industries today.
• Hands-On Practice: Gain practical experience with examples such as handling files in HDFS and understanding the real-world working of MapReduce.
• Career Preparation: This course will equip you with the foundational knowledge required to pursue a career in Big Data and Hadoop.

Why Choose This Course?

• Value for Money: This course offers extensive content at a fraction of the cost compared to other courses, with lecture sessions lasting just 1 hour.
• Comprehensive Learning Experience: Unlike other courses that only provide lectures, this one delivers detailed descriptions and provides hands-on practical experience.
• Instructor Support: Benefit from instructor support throughout your learning journey.
• Refund Policy: We stand by the quality of our course. If you're not satisfied, we offer a 30-day money-back guarantee.

Enroll Now to Embark on Your Big Data & Hadoop Journey! 🚀

With "Learn BigData & Hadoop with Practical" course, you will gain the knowledge and skills needed to navigate the complex landscape of Big Data and Hadoop. Whether you're a developer, tester, or simply curious about this exciting field, this course offers a practical approach to understanding one of the most significant technological advancements in data processing. 💻✨

Overall Course Rating: 4.05/5

Pros of the Course:

• Comprehensive Introduction to Big Data and Hadoop: Many reviewers found the course helpful in understanding the importance of Hadoop in the IT career and the basics of big data handling.
• Real-life Examples: Some users appreciated that terms were explained using examples, which helped them grasp the concepts more quickly and effectively.
• Positive Impact on Learning: Several users highlighted that the course was beneficial for beginners, providing a solid foundation in Hadoop and Big Data.
• Engagement and Recommendation: The course was recommended by several reviewers, indicating its value as an introductory guide to those new to the field.
• Diverse Learning Material: The variety of learning material available was noted as a positive aspect, with users pointing out that the course content could be supplemented with additional resources available on the internet.
• Thankfulness for Availability: Reviewers expressed gratitude towards Udemy for providing such learning opportunities.

Cons of the Course:

• Technical Errors and Repetition: At least one reviewer reported an error in the course material, and there were mentions of repetitive information across several videos.
• Presentation and Fluency Issues: Some users felt that the presentation could be improved and that the instructor needed to be more fluent with the content.
• Spelling and Grammatical Mistakes: A few reviewers pointed out spelling and grammatical errors that should be corrected for better clarity.
• Installation Instructions: There was a specific issue with the instructions on installing Cloudera, where a link provided showed documentation rather than a downloadable zip file.
• Material Delivery: The use of Word documents was criticized as they only displayed part of every page, making it difficult to view the full content.
• Accent and Initial Understanding: One user was slightly distracted by the instructor's accent and noted that they had not learned much from the introduction.

Additional Notes:

• Career Implications: The course highlighted the career potential in Hadoop, suggesting that it is a highly paid domain compared to automation testers.
• Supplementary Learning: Several users mentioned that while the course provided a good overview, additional detailed study might be necessary for those seeking more in-depth knowledge.
• Course Presentation and Structure: Some users felt that the lecture could be more informative and suggested that practical examples should be simpler and more real-time to enhance understanding.

Final Verdict: The course on Big Data and Hadoop receives a solid 4.05 rating from recent reviews, indicating that while it has some issues with repetition, technical errors, and presentation, its comprehensive introduction and engaging content make it a valuable resource for beginners looking to enter the field of Big Data. It is recommended that these areas be addressed to improve the overall learning experience.