Whizlabs
Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization
Whizlabs

Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization

Launch career in AWS Data Engineer Associate. Master Data Engineer Concepts in AWS

Whizlabs Instructor

Instructor: Whizlabs Instructor

Included with Coursera Plus

Get in-depth knowledge of a subject

(18 reviews)

Intermediate level

Recommended experience

3 months at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject

(18 reviews)

Intermediate level

Recommended experience

3 months at 4 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers

What you'll learn

  • Describe storage components with operational storage services.

  • Examine data warehouse solutions and their features.

  • Explore relational and non-relational database services in AWS.

  • Automate and catalog data flow between SaaS applications and AWS services.

Overview

What’s included

Shareable certificate

Add to your LinkedIn profile

Taught in English
30 practice exercises

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Whizlabs

Specialization - 6 course series

What you'll learn

  • Describe storage components with operational storage services.

  • Understand and implement block level and file level storage in AWS.

  • Explore Object Lifecycle Management in Amazon S3.

Skills you'll gain

Amazon S3, Data Storage, Cloud Storage, Encryption, File Systems, Cloud Security, AWS Identity and Access Management (IAM), File Management, Data Store, Key Management, Amazon Elastic Compute Cloud, Authorization (Computing), Security Controls, and Data Storage Technologies

What you'll learn

  • Understand to configure relational databases in AWS.

  • Learn to examine data warehouse solutions in AWS.

  • Identify ways to configure non-relational databases in AWS.

Skills you'll gain

Amazon Redshift, NoSQL, Amazon DynamoDB, Data Analysis Expressions (DAX), Redis, Databases, Relational Databases, SQL, Amazon S3, Database Architecture and Administration, Data Warehousing, and Apache Cassandra

What you'll learn

  • Explore data integration services to integrate data from multiple sources for analytics and application development.

  • Manage data lake access permissions and share data within and outside your organization.

  • Describe a fully managed service to process and analyze streaming data at any scale in AWS.

Skills you'll gain

AWS SageMaker, Extract, Transform, Load, Data Processing, AWS Kinesis, Real Time Data, Data Integration, Apache Hadoop, Apache Hive, Big Data, Amazon Web Services, Applied Machine Learning, Serverless Computing, Apache Spark, Business Intelligence, Data Lakes, and Data Pipelines

What you'll learn

  • Implement logically isolated virtual network for AWS resources.

  • Understand message queuing for microservices at a high scale using Amazon SQS.

  • Scale and optimize web content delivery with the AWS global network infrastructure supporting edge locations.

Skills you'll gain

Cloud-Native Computing, Cloud Engineering, Amazon Web Services, Event-Driven Programming, Network Routing, Apache Airflow, Virtual Private Networks (VPN), Scalability, Data Pipelines, Microservices, Network Security, and Network Architecture

What you'll learn

  • Learn to implement data protection and encryption techniques.

  • Explore management and governance services in AWS.

  • Understand data security risks by discovering sensitive data using machine learning.

Skills you'll gain

Data Security, Distributed Denial-Of-Service (DDoS) Attacks, Amazon CloudWatch, Key Management, AWS CloudFormation, Cloud Security, Cyber Governance, Amazon S3, AWS Identity and Access Management (IAM), Continuous Monitoring, Infrastructure as Code (IaC), System Monitoring, Data Governance, Security Controls, and Encryption

What you'll learn

  • Explore serverless features and best practices of AWS Lambda.

  • Enhance developer's experience in building and running serverless applications on AWS.

  • Describe methods to process and analyze streaming data at any scale in AWS.

Skills you'll gain

Serverless Computing, Data Migration, Cloud Computing Architecture, Cloud Solutions, Data Processing, Solution Architecture, Containerization, Amazon Web Services, and Data Pipelines

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Whizlabs Instructor
Whizlabs
132 Courses87,720 learners

Offered by

Whizlabs

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