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AWS Big Data – Specialty Certification Preparation for AWS

Prepare for the AWS Big Data Specialty Certification with this Big Data Preparation for AWS Learning Path.
Difficulty: Intermediate
Duration: Up to 22 hours and 13 minutes
Students: 3,323
Rating: 4.4/5
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Content overview
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Content overview

20 steps
There are 14 Courses in this learning path
There are 2 Exams in this learning path
There are 4 Hands-on Labs in this learning path
Difficulty: Beginner. Duration: 2m 56s.
COURSE
Beginner
Duration: 2 minutes and 56 seconds
Introduction to the Big Data Specialty Course
This lesson introduces the AWS Big Data – Specialty Certification Preparation course.
Difficulty: Beginner. Duration: 1h 4m.
COURSE
Beginner
Duration: 1 hour and 4 minutes
Analytics Fundamentals for AWS
In this course, we will explore the analytics tools provided by AWS, including Elastic Map Reduce (EMR), Data Pipeline, Elasticsearch, Kinesis, Amazon Machine Learning, and QuickSight.
Difficulty: Beginner. Duration: 1h 9m.
COURSE
Beginner
Duration: 1 hour and 9 minutes
Database Fundamentals for AWS
This course provides you with an introduction to the cloud database services offered by AWS and how to use them.
Duration: Up to 35m.
EXAM
Duration: Up to 35 minutes
Knowledge Check: Database Fundamentals for AWS
Knowledge Check: Database Fundamentals for AWS
Difficulty: Intermediate. Duration: 1h 7m.
COURSE
Intermediate
Duration: 1 hour and 7 minutes
AWS Big Data Specialty - Data Collection
This lesson will help you to increase your knowledge of data collection methods and techniques with big data solutions in AWS.
Difficulty: Intermediate. Duration: 1h 47m.
COURSE
Intermediate
Duration: 1 hour and 47 minutes
AWS Big Data Specialty - Storage
In this lesson, we outline the key storage options for big data solutions in AWS.
Difficulty: Beginner. Duration: Up to 1h 45m.
HANDS-ON LAB
Beginner
Duration: Up to 1 hour and 45 minutes
Getting Started with Amazon Redshift
Learn how to use the Amazon Redshift service. Create a cluster with a database, copy data from S3, query data using SQL, and resize the cluster.
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