AWS Certified Data Analytics (Specialty)
Specialize in AWS analytics. Cover lakes/warehouses building, big data processing, ETL, streaming, BI, ML. Ready for specialty cert via labs/cases.
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Course Level
Beginner to Advanced
Certification
Complete All Modules
Career Impact
High Growth Potential
Course Overview
Specialize in AWS analytics. Cover lakes/warehouses building, big data processing, ETL, streaming, BI, ML. Ready for specialty cert via labs/cases.
What You'll Learn
Core analytics services/usage
Lakes with S3/Lake Formation
Warehouses with Redshift
Processing with EMR
ETL workflows with Glue
Streaming/real-time with Kinesis
BI/visualization with QuickSight
ML with SageMaker
Efficient storage/processing
Pipelines for analytics/ML
Security/compliance/governance
Hands-on with big data tools
Exam prep
Optimization guidelines
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Detailed Curriculum
Analytics AWS Basics
Services/use cases
Lakes/warehouses/big data differences
Ecosystem/integration
Lakes with S3
Mgmt with Lake Formation
Pipeline architecture
Storage fundamentals S3/Glacier/EBS
Role Redshift analytics
Processing/analytics with EMR
Serverless with Lambda
Transformation with Glue
Real-time pipeline with Kinesis
BI tools QuickSight
Security/compliance/governance guidelines
ML/algorithms with SageMaker
Pipeline optimization cost/performance
Guidelines storage/analytics
IAM securing workflows
Ops insights with tools
Domains prep
Lakes/Warehouses AWS
Lakes importance big data
Setup/mgmt S3/Lake Formation
Multi-source integration
Transformation with Glue
Catalogs/metadata Lake Formation
Encryption/access lakes secure
Warehouse with Redshift
Spectrum querying S3
Large-scale/BI with Redshift
Optimization faster processing
Security VPC/encryption
Integration lakes/warehouses
Continuous integration pipeline Redshift/S3
Costs/performance large datasets
EMR role big data
Guidelines real-time Kinesis
Mgmt/optimization strategies lakes/warehouses
ETL auto with Glue/Redshift
Controls compliance stored data
Exam questions lakes/warehouses
Real-Time Processing AWS
Importance real-time processing analytics
Streams with Kinesis
Processing/analysis Kinesis Analytics
Integration Lambda/S3 real-time
Transformations auto Glue
Visualization QuickSight
Alerts/monitoring streaming
Integration lakes/warehouses
Architecture real-time system
Ingestion Firehose/Streams
Performance/cost large datasets
Scaling large datasets
Security/governance real-time
Use cases IoT/finance
ML models real-time SageMaker
Processing with Lambda
Dashboards QuickSight
Optimization large streams Kinesis
Fast storage DynamoDB
Real-time questions exam prep
BI/Data Visualization AWS
BI/reporting QuickSight
Interactive visuals/dashboards QuickSight
Integration Redshift/S3
Query/analyze multi-sources QuickSight
Auto BI reports/dashboards
Transform/prepare Glue
Democratization self-service BI
Access control BI
Integration warehouses/lakes
Performance large datasets
ML insights/predictions QuickSight
Warehousing with Redshift
Use cases retail/healthcare/finance
Structured/unstructured combine BI
Customized reports
Advanced analytics SageMaker
Pipelines BI apps
Security guidelines BI
Scale enterprise
Exam focus BI/visualization
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