- Duration / Course length: 1 To 2 Months Start now
- Course delivery: This course is delivered in video format
Course details
- AWS Certified Big Data - Specialty exam validates technical skills and experience in the process of designing and implementing AWS services in order to derive value from data. The AWS Certified Big Data - Specialty exam is meant for individuals who perform complex Big Data analyses and validates the -
- Ability of an individual to implement core AWS Big Data services according to basic architecture best practices
- Ability of an individual to Design and maintain Big Data
- Ability of an individual to Leverage tools to automate data analysis
Recommended Knowledge for AWS Certified Big Data - Specialty exam
- Minimum of 2 years' experience using AWS technology
- AWS Security best practices
- Independently define AWS architecture and services and understand how they integrate with each other.
- Define and architect AWS big data services and explain how they fit in the data lifecycle of collection,ingestion, storage, processing, and visualization.
- At least 5 years' experience in a data analytics field
- Understand how to control access to secure data
- Understand the frameworks that underpin large scale distributed systems like Hadoop/Spark and MPP data warehouses
- Understand the tools and design plateforms that allow processing of data from multiple heterogeneous sources with difference frequencies (batch/real-time)
- Capable of designing a scalable and cost-effective architecture to process data
Course Outline for AWS Certified Big Data Specialty Certification
Domain 1: Collection (17%)
- Determine the operational characteristics of the collection system
- Select a collection system that handles the frequency of data change and type of data being ingested
- Identify the properties that need to be enforced by the collection system: order, data structure, metadata, etc.
- Explain the durability and availability characteristics for the collection approach
Domain 2: Storage (17%)
- Determine and optimize the operational characteristics of the storage solution
- Determine data access and retrieval patterns
- Evaluate mechanisms for capture, update, and retrieval of catalog entries
- Determine appropriate data structure and storage format
Domain 3: Processing (17%)
- Identify the appropriate data processing technology for a given scenario
- Determine how to design and architect the data processing solution
- Determine the operational characteristics of the solution implemented
Domain 4: Analysis (17%)
- Determine the tools and techniques required for analysis
- Determine how to design and architect the analytical solution
- Determine and optimize the operational characteristics of the Analysis
Domain 5: Visualization (12%)
- Determine the appropriate techniques for delivering the results/output
- Determine how to design and create the Visualization platform
- Determine and optimize the operational characteristics of the Visualization system
Domain 6: Data Security (20%)
- Determine encryption requirements and/or implementation technologies
- Choose the appropriate technology to enforce data governance
- Identify how to ensure data integrity
- Evaluate regulatory requirements
- Format: Practice Exam
- No. of Questions: 361 Questions
- Delivery: Online, Immediate
- Test Modes: Practice, Exam
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