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AWS Certified Data Analytics Specialty 2023 – Hands On 16+ Hours Course

Name: AWS Certified Data Analytics Specialty 2023 - Hands On 16+ Hours Course
SKU: AWS-CRT-DT-NLY
Availability: InStock

Original price was: $25.00.Current price is: $10.00.

SKU: AWS-CRT-DT-NLY Category: Everything Else Tags: AWS, Certification, Data Analytics, IT Training

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Description

AWS Certified Data Analytics Specialty 2023 – Hands-On 16+ Hours Course

AWS Data Analytics Specialty

Elevate your data analytics expertise with our comprehensive AWS Certified Data Analytics Specialty 2023 course. Designed for professionals aiming to validate their skills in designing, building, securing, and maintaining analytics solutions on AWS, this hands-on training spans over 16 hours, ensuring a deep understanding of key concepts and practical applications.

What You’ll Learn

Collection: Understand data ingestion methods using Amazon Kinesis, DynamoDB Streams, and AWS Snowball.
Storage and Data Management: Explore data storage solutions like Amazon S3, Glacier, and Redshift.
Processing: Gain proficiency in data processing with AWS Glue, Lambda, and EMR.
Analysis and Visualization: Learn to analyze data using Amazon Athena, QuickSight, and SageMaker.
Security: Implement data security measures with IAM, KMS, and VPC configurations.

Requirements

Minimum of 5 years of experience with data analytics technologies.
At least 2 years of hands-on experience working with AWS services.
Familiarity with AWS services to design, build, secure, and maintain analytics solutions.

Course Description

This course provides a deep dive into the AWS Certified Data Analytics Specialty exam objectives. Through a combination of lectures, demonstrations, and hands-on labs, you’ll gain practical experience in architecting data solutions on AWS. The course covers all five domains of the exam, ensuring you’re well-prepared to tackle real-world data analytics challenges.

About the Instructor

Our instructor is a seasoned AWS Certified Solutions Architect with over 10 years of experience in cloud computing and data analytics. Having led numerous AWS implementations across various industries, they bring a wealth of practical knowledge and insights to the course.