Big Data on AWS Training

Course Description

Big Data on AWS Training is a comprehensive course that teaches you about cloud-based Big Data solutions, including Amazon Redshift, Amazon EMR, Amazon Kinesis, and the remaining AWS Big Data platform. Our enterprise training program is best for companies. The instructors will demonstrate how to utilize Amazon EMR to process information with the help of a broad ecosystem of Hadoop tools such as Hive and Hue.

You will also learn how to build Big Data environments, operate with Amazon DynamoDB, Amazon QuickSight, Amazon Redshift, and leverage leading practices to design Big Data environments for cost-effectiveness and security. This course will enable you to learn to utilize common programming infrastructure available for Amazon EMR. It helps you recognize the advantages of using Amazon Kinesis for real-time Big Data processing. You will also select suitable AWS storage options and understand the elements of an Amazon EMR cluster, then deploy and configure the Amazon EMR cluster.

Who should attend this course?

This course is intended for all those individuals who are responsible for implementing big data solutions and designing such as solutions architects and system operator administrator can sign up for this training. Data analysts who are interested to learn about big data solutions on Amazon Web Services can enroll for this course.

What you will learn

• Learn about Apache Hadoop in the framework of Amazon EMR.
• Architectural learning of an Amazon EMR cluster.
• Launching Amazon EMRcluster while utilizing an appropriate Amazon EC2 instance and Amazon Machine Image.
• Utilize exact AWS data storages with Amazon EMR.
• Appropriate AWS data storage options for use with Amazon EMR
• Compressing, transferring and investigating data for use with Amazon EMR.
• Ingesting, transferring, and compressing data for use with Amazon EMR
• Utilize common programming systems for Amazon EMR covering streaming, Pig and Hive.
• Functioning with Amazon Redshift to implement big data solution.
• Controlling big data visualization software.
• Proper security options for your Amazon EMR data.
• Performing in-memory data analysis with shark and Spark on Amazon EMR.
• Chances to manage Amazon EMR environment efficiently.
• Advantages of using Amazon Kinesis for any big data.

With Microtek Learning, you’ll receive:

• Certified Instructor-led training
• Industry Best Trainers
• Official Training Course Student Handbook
• Pre and Post assessments/evaluations
• Collaboration with classmates (not available for a self-paced course)
• Real-world knowledge activities and scenarios
• Exam scheduling support*
• Learn and earn program*
• Practice Tests
• Knowledge acquisition and exam-oriented
• Interactive online course.
• Support from an approved expert
• For Government and Private pricing*

Our Clients

For many years, Microtek Learning has been helping organizations, leaders, and professionals to reach their maximum performance by addressing the challenges they are facing.

• 300+ enterprise clients
• 100,000+ professionals trained
• Service 70 of the Fortune 100
• 96% of our clients would recommend us

Our Awards

Curriculum

REVIEWS ON OUR POPULAR COURSES

I was sceptical at first whether to enrol with Microtek Learning or not, however, I am glad that I did- I got everything that was promised (maybe more). The trainer was very patient and knowledgeable and with his effort and mine, I was able to clear the exam with ease! Keep up the good work everyone.

MARTIN

TORONTO, CANADA

• (5)

I'm really impressed with the storytelling skills of the instructor. She makes the session exciting by keeping things simple and easy to understand.

Prince N.

Texas

• (5)

I was recommended the ITIL 4 Foundation course by an IT professional who had completed the same course at Microtek Learning. The training gave me a thorough understanding of service management that I felt I could take back to my job as an IT Project Management and apply it to improve the value of products and services.

Marsh George

Texas

• (5)

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