Building Batch Data Analytics Solutions on AWS
- Duration: 8 hours
- Exam Voucher: Yes
- Language: English
- Course Delivery : E - Learning Access
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Course Overview
The Building Batch Data Analytics Solutions on AWS Course is designed to help organizations design, build, and operate scalable batch data analytics architectures using AWS services. This course introduces enterprise teams to end-to-end batch analytics workflows—from data ingestion and storage to processing and insights—using AWS-native tools. With a structured, governance-aligned approach, the program supports consistent implementation of reliable, cost-effective analytics solutions that deliver measurable business value across teams.
Course Details
- Establishes standardized approaches to batch data analytics on AWS
- Improves scalability, reliability, and performance of analytics pipelines
- Aligns analytics practices with globally recognized AWS frameworks
- Ensures consistent learning delivery across enterprise teams
- Enhances productivity through hands-on batch processing scenarios
- Supports structured readiness for enterprise analytics enablement
- Open to corporate professionals and data analytics teams
- Suitable for foundational to intermediate participants
- Recommended for teams working with data platforms and analytics workloads
- Basic understanding of data concepts and cloud services preferred
- Familiarity with databases and ETL concepts is beneficial
- Corporate sponsorship or group participation encouraged
- Access to a digital learning platform required
- Design batch analytics architectures using AWS services
- Build scalable data ingestion and processing pipelines
- Select appropriate storage and compute services for batch workloads
- Apply best practices for security, governance, and cost optimization
- Gain hands-on experience through structured practical modules
- Improve collaboration between data, analytics, and platform teams
- Align batch analytics solutions with organizational data strategies
- Introduction to batch data analytics on AWS
- Data ingestion and batch processing patterns
- Data storage options for analytics workloads
- Batch processing using AWS-native services
- Orchestration and workflow management
- Data transformation and aggregation techniques
- Security, governance, and cost optimization
- Practical labs and real-world batch analytics scenarios
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