AWS: Data Analytics
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AWS: Data Analytics
This course is part of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization
Instructor: Whizlabs Instructor
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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
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There are 3 modules in this course
AWS: Data Analytics is the fourth course of Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate Specialization. This course assists learners in configuring data integration services to discover, move, and integrate data from multiple sources for application development. Learners will explore a serverless, interactive analytics service to analyze petabytes of data in AWS. This course teaches learners to extract data from various sources using big data frameworks such as Apache Spark, Hive, or Presto. The course is divided into two modules and each module is further segmented by Lessons and Video Lectures. This course facilitates learners with approximately 3:00-3:30 Hours of Video lectures that provide both Theory and Hands-On knowledge. Also, Graded and Ungraded Quizzes are provided with every module to test the ability of learners.
Module 1: Data Integration in AWS Module 2: Data Analytics and ML in AWS By the end of this course, a learner will be able to: - Examine data integration services to integrate data from multiple sources for analytics and application development. - Centrally 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. This course is intended for candidates who wish to enhance their skills in analyzing large and complex datasets and have basic hands-on experience in analytics and database services.
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
9 videos•Total 44 minutes
- AWS Glue•10 minutes
- AWS Glue Catalog•5 minutes
- AWS Glue Crawlers and Classifiers•7 minutes
- AWS Glue Jobs•4 minutes
- AWS Glue Databases and AWS Glue Tables•3 minutes
- AWS Glue Data Quality•5 minutes
- AWS Glue API - Sensitive Data•3 minutes
- AWS Glue Workflow•3 minutes
- AWS Glue DataBrew•4 minutes
2 readings•Total 20 minutes
- Welcome to the Course•10 minutes
- Overview: Data Integration in AWS•10 minutes
2 assignments•Total 55 minutes
- AWS Glue - Knowledge Check•25 minutes
- Data Integration in AWS - Assessment•30 minutes
1 discussion prompt•Total 10 minutes
- Meet and Greet•10 minutes
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 assignments
9 videos•Total 39 minutes
- Amazon Athena•4 minutes
- Amazon Athena with Glue•3 minutes
- Amazon Athena with Hive Metastore•4 minutes
- Amazon Redshift Spectrum with Glue Data Catalog•4 minutes
- Athena CTAS•5 minutes
- SQL with Athena•3 minutes
- AWS Lake Formation•4 minutes
- Amazon EMR•9 minutes
- Amazon EMR with Glue Data Catalog•4 minutes
1 reading•Total 10 minutes
- Overview: Amazon Athena and Amazon EMR in AWS•10 minutes
2 assignments•Total 55 minutes
- Amazon Athena and Amazon EMR- Knowledge Check•25 minutes
- Amazon Athena and Amazon EMR in AWS - Assessment•30 minutes
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
5 videos•Total 35 minutes
- Amazon Kinesis•10 minutes
- Amazon Managed Service for Apache Flink•11 minutes
- Amazon Managed Streaming for Apache Kafka•3 minutes
- Amazon Sagemaker•3 minutes
- Amazon QuickSight•8 minutes
3 readings•Total 30 minutes
- Overview: Data Analytics and ML in AWS•10 minutes
- Course Conclusion•10 minutes
- What next?•10 minutes
2 assignments•Total 40 minutes
- Analytics and Machine Learning Concepts- Knowledge Check•15 minutes
- Data Analytics and ML in AWS - Assessment•25 minutes
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