Whizlabs

AWS: Data Analytics

Whizlabs Instructor

Instructor: Whizlabs Instructor

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace

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.

Details to know

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Recently updated!

August 2024

Assessments

6 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 3 modules in this course

Welcome to Week 1 of the AWS: Data Analytics course. This week, you will be introduced to AWS Glue, a fully managed ETL service for customers to prepare and load their data for analytics. You will explore some basic components of AWS Glue such as AWS Glue Catalog, Crawlers, Classifiers, etc. By the end of the week, you will learn some advanced features of AWS Glue Data Quality and AWS Glue DataBrew.

What's included

9 videos2 readings2 assignments1 discussion prompt

Welcome to Week 2 of the AWS: Data Analytics course. This week, you will be introduced to Amazon Athena, an interactive analytics service built on open-source frameworks, that provides a simplified way to analyze petabytes of data where it lives. You will also learn Amazon EMR, a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoop and Apache Spark. By the end of the week, you will perform data integration using Amazon EMR and AWS Glue.

What's included

9 videos1 reading2 assignments1 ungraded lab

Welcome to Week 3 of the AWS: Data Analytics course. This week, you will be introduced to Data Analytics and ML services in AWS. You will learn Amazon Kinesis, a fully managed service to process and analyze streaming data at scale. You will explore Amazon Managed Service for Apache Flink to transform and analyze streaming data in real-time using Apache Flink. With Amazon QuickSight, one can enhance data-driven organizations with unified business intelligence (BI) at scale. By the end of this week, you will learn Amazon SageMaker, a fully managed service that can help to build, train, and deploy ML models at scale using a single integrated development environment (IDE).

What's included

5 videos3 readings2 assignments

Instructor

Whizlabs Instructor
Whizlabs
61 Courses45,865 learners

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Recommended if you're interested in Cloud Computing

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