What you'll learn:
- Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
- Move and transform massive data streams with Kinesis
- Store big data with S3 and DynamoDB in a scalable, secure manner
- Process big data with AWS Lambda and Glue ETL
- Use the Hadoop ecosystem with AWS using Elastic MapReduce
Exam Details:
The AWS Certified Data Analytics - Specialty (DAS-C01) examination is intended for individuals who perform in a data analytics-focused role. This exam validates an examinee’s comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It validates an examinee’s ability to:
Define AWS data analytics services and understand how they integrate with each other.
Explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization.
Course syllabus description:
Domain 1: Collection
1.1 Determine the operational characteristics of the collection system
1.2 Select a collection system that handles the frequency, volume, and source of data
1.3 Select a collection system that addresses the key properties of data, such as order, format, and compression
Domain 2: Storage and Data Management
2.1 Determine the operational characteristics of a storage solution for analytics
2.2 Determine data access and retrieval patterns
2.3 Select an appropriate data layout, schema, structure, and format
2.4 Define a data lifecycle based on usage patterns and business requirements
2.5 Determine an appropriate system for cataloging data and managing metadata
Domain 3: Processing
3.1 Determine appropriate data processing solution requirements
3.2 Design a solution for transforming and preparing data for analysis
3.3 Automate and operationalize a data processing solution
Domain 4: Analysis and Visualization
4.1 Determine the operational characteristics of an analysis and visualization solution
4.2 Select the appropriate data analysis solution for a given scenario
4.3 Select the appropriate data visualization solution for a given scenario
Domain 5: Security
5.1 Select appropriate authentication and authorization mechanisms
5.2 Apply data protection and encryption techniques
5.3 Apply data governance and compliance controls
