Course Overview

Students who are interested in having knowledge of the big data landscape can opt for the Introduction to the Big Data course. It will be helpful for those who want to be conversant with the terms and core of big data. Moreover, the course will help in understanding the connection behind the problems, applications, and systems of big data. Also, the course will provide an introduction to the most common issue in the framework named Hadoop. With the help of this application, big data analysis will become easier and more accessible. All in all, it's useful for the people who think big data might be helpful and useful in their business and career.

In the end, students will learn about big data and landscape. The explanation of Vs in big data can be understood. The Vs include volume, velocity, variety, veracity, valence, and value. Apart from these, they will be able to make the structure using 5 step process. Lastly, they will be able to install and run the program on Hadoop and explain its architectural components. Hardware requirements for the course will need a core processor along with 8 GB RAM. Software components include Apache Hadoop.

What you'll learn

• Big Data
• Apache Hadoop
• Map Reduce
• Cloudera
• Learn about techniques of Big Data in approximately 3 weeks.

Requirements

• Basic knowledge of data analysis.
• A computer or laptop with internet connectivity.
• Flexible work schedule.

AccessTo Career Resources with Introduction to Big Data Course

Enroll Free

Enhanced Employability:

An outstanding Introduction to Big Data Program that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Skill Validation:

Robust validation of Introduction to Big Data skills confirms that you can complete all related tasks.

Networking Opportunities:

Managing Introduction to Big Data courses provide ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.