Big Data on AWS Certification Training

The Big Data on AWS course gives you an understanding of performing cloud-based big data operations in an AWS environment.

Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and designing big data environments for security and cost-effectiveness are some topics covered in this course.

Validate your technical skills and expertise with the AWS Certified Big Data – Specialty certification as it is intended for individuals who perform complex Big Data analyses with at least two years of experience using AWS technology.

By the end of this course, you will learn to:

• Use Apache Hadoop with Amazon EMR
• Launch and configure an Amazon EMR cluster
• Use common programming frameworks for Amazon EMR, including Hive, Pig, and Streaming
• Use Hue to improve the ease-of-use of Amazon EMR
• Use in-memory analytics with Spark on Amazon EMR
• Understand how services like AWS Glue, Amazon Kinesis, Amazon Redshift, Amazon Athena, and Amazon QuickSight can be used with big data workloads

• Basic knowledge of big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
• Completed Data Analytics Fundamentals free digital training or equivalent experience
• Working knowledge of core AWS services and public cloud implementation
• Completed the AWS Technical Essentials classroom training or have equivalent experience
• Basic understanding of data warehousing, relational database systems, and database design

Currently all our courses are offered online as Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts.

Our instructors are approved by AWS to lead these sessions. They also have industry experience and will instruct you on the practical aspects of what you are learning.

Our courses are delivered through live interactive virtual classrooms and can be structured according to the requirements of the course.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced Power platform practitioner. The focus is on finding practical solutions to real-world scenarios in various projects environments, both big and small.

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience.

Internet Connectivity (2Mbps Link) and Laptop/PC (Windows/Mac) with 4GB RAM.

No, you do not need to record the sessions, the sessions will be auto recorded on our LMS, you will be able to refer to them.

Yes, you can switch your start date with prior notice of at least 24 hours and subject to availability in the desired batch.

With our 100% Satisfaction Guarantee policy, you are assured of the highest standards of quality. At KnowledgeHut, we strive to ensure that your learning experience with us is beyond reproach. However, if for any reason your expectations are not met, we will refund the Big Data on AWS course cost in accordance with our 100% Satisfaction Guarantee policy.

Note*:  In case of a refund, it will be credited to your account within 10-15 business days of the refund request.

Yes, we have a 100% money-back guarantee in line with our 100% Satisfaction Guarantee policy.

Yes, scholarships are available for students and veterans with grants that can vary up to 50% of the course fees.

To avail scholarships, please get in touch with us at support@knowledgehut.com. The team shall send the forms and instructions to you. Based upon the responses and answers that we receive, our panel of experts takes a decision on the Grant. The entire process could take about 7 to 15 days.

Yes, group discounts are available and apply to groups as small as three (3) participants. The more participants that attend a training course, the greater the discount. By registering in groups, you can typically save up to 20% to 30% on the course fee. For more details, please check out upcoming schedules.

Yes, installment options are available for payment of course fees. To avail the installment option, please get in touch with us at support@knowledgehut.com. The team will explain how the installments work and provide timelines for your case. Typically, the number of installments varies from 2 to 3, but the full amount must be paid before you complete the course.