Big Data University: A Comprehensive Review and Guide for Online Certification Courses

Big Data University, also known as DataTAU, offers a comprehensive range of online certification courses in the domain of big data. It is a popular choice among intermediate and graduate students looking to learn about this transformative field. This article provides a detailed review of the Big Data University courses, highlighting their benefits, key components, and how to enroll effectively.

Course Overview and Benefits

Big Data University's certification courses are designed to equip participants with the essential skills needed to navigate the Hadoop ecosystem, including Hadoop 2.7 Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark. These components form the backbone of big data processing and analytics. The hands-on practice offered through CloudLabs allows learners to implement real-life projects in diverse domains such as banking, telecommunications, social media, insurance, and e-commerce.

Alignment with Industry Standards

For those aiming for professional credibility, Big Data University's courses are aligned to the Cloudera CCA175 certification, which serves as a standard for many IT professionals. This course is particularly beneficial for graduate students and non-IT professionals in data management and analytics looking to enhance their expertise in the field. A minimum of a 50% score in a relevant bachelor's degree or equivalent performance is generally required to commence the course.

Enrollment Process and Tips

To enroll in Big Data University's online certification courses, follow these steps:

Register on the Big Data University Website: Open the designated website and fill in your details step-by-step. Select the 12-Month Program: Choose the 12-month program with a blended teaching methodology, providing a mix of self-paced learning and structured instruction. Provide Past Certification Details: If you have any past certifications, provide the necessary details and click on the 'continue' button. Complete the Submission: Once all information is filled out, click on the 'submit' button to finalize your application. Confirm the Enrollment: For confirmation, download the necessary form on your device. If you encounter any issues, you can contact customer support for assistance.

Customer support is available to provide the best advice to ensure a smooth admission process.

Additional Tips and Insights

DataTAU is a valuable resource for data scientists and enthusiasts, offering a wealth of information on the latest advancements in Data Science and machine learning.

However, it is worth noting that the user interface (UI) of the DataTAU website could be enhanced from a design perspective. A visually appealing and well-designed webpage can significantly improve user experience. This is why many users, including myself, prefer to consume content through Feedly, an RSS feed reader that provides a more aesthetically pleasing and user-friendly interface.

Conclusion

Big Data University offers an excellent opportunity for learners to gain practical experience and knowledge in the complex and dynamic field of big data. By following the enrollment process carefully and leveraging additional resources, you can successfully embark on your journey towards mastering this critical technology.

Stay updated with the latest trends and technologies in Data Science and Big Data by following DataTAU and other relevant resources to stay ahead in this rapidly evolving field.