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AWS
AWS Certified Data Analytics – Specialty
Curriculum
15 Sections
35 Lessons
10 Hours
Expand all sections
Collapse all sections
Collection
7
1.1
Snowball
1.2
Database Migration Services
1.3
Internet of Things
1.4
Simple Queue Service
1.5
CloudWatch Logs for Kenesis
1.6
Kinesis Data Firehose
1.7
Kinesis Data Streams
Storage
5
2.1
DynamoDB
2.2
DynamoDB Basics
2.3
AWS S3
2.4
S3 Security
2.5
S3 Encryption
AWS Lambda
1
3.1
AWS Lambda
AWS Glue
2
4.1
AWS Glue
4.2
AWS Lake Formation
Elastic MapReduce (EMR)
2
5.1
EMR With Big Data Workloads
5.2
Introduction to Elastic MapReduce
Amazon Machine Learning
3
6.1
Deep Learning 101
6.2
Amazon SageMaker
6.3
Introduction to Machine Learning
Data Pipeline
1
7.1
Data Pipeline
Kinesis Data Analytics
1
8.1
Kinesis Data Analytics
Amazon OpenSearch Service
1
9.1
Open search
Amazon Athena
1
10.1
Athena
Amazon Redshift
3
11.1
Redshift Serverless
11.2
Using Redshift
11.3
Introduction to Redshift
Amazon Relational Database Service
1
12.1
Relational Database Service (RDS)
Amazon Quickstart
2
13.1
QuickSight Visualization
13.2
Introduction to QuickSight
Security
3
14.1
Access
14.2
EncryptionAWS Key Management Service
14.3
Security With Other Applications
Everything Else
Other Features and Services
2
15.1
Integrations
15.2
Other Features and Services
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