Amazon AWS Certified Data Analytics – Specialty
The AWS Certified Data Analytics Specialty Exam is one of the most challenging certification exams you can take from Amazon. Passing it tells employers in no uncertain terms that your knowledge of big data systems is wide and deep. But, even experienced technologists need to prepare heavily for this exam. This course sets you up for success, by covering all of the big data technologies on the exam and how they fit together.
The AWS Certified Data Analytics Specialty (DAS-C01) exam validates the candidate’s knowledge and understanding of using AWS services for planning, creating, securing, and maintaining analytics solutions that provide insight from data. However, this exam is also best for those in the data analytics-focused role.
Course Key Learnings
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Maximize your odds of passing the AWS Certified Data Analytics Specialty exam
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Move and transform massive data streams with Kinesis
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Store big data with S3 and DynamoDB in a scalable, secure manner
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Process big data with AWS Lambda and Glue ETL
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Use the Hadoop ecosystem with AWS using Elastic MapReduce
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Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
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Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
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Visualize big data in the cloud using AWS QuickSight
Course Outline
Describe Collection
- Determining the operational characteristics of the collection system
- Selecting a collection system that handles the frequency, volume, and source of data
- Selecting a collection system that addresses the key properties of data, such as order, format, and compression
Describe Storage and Data Management
- Determining the operational characteristics of a storage solution for analytics
- Determining data access and retrieval patterns
- Selecting suitable data layout, schema, structure, and format
- Defining a data lifecycle based on usage patterns and business requirements
- Determining a suitable system for cataloguing data and managing metadata
Describe Processing
- Determining appropriate data processing solution requirements
- Designing a solution for transforming and preparing data for analysis
- Automating and operationalizing a data processing solution
Analysis and Visualization
- Determining the operational characteristics of an analysis and visualization solution
- Selecting a suitable data analysis solution for a given scenario
- Selecting the appropriate data visualization solution for a given scenario
Security
- electing appropriate authentication and authorization mechanisms
- Applying data protection and encryption methods
- Applying data governance and compliance controls
Requirements
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You must have an AWS account to follow along with the hands-on activities. The services used will cost a few dollars in AWS fees (it costs us $5 USD)
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AWS recommends associate-level certification before attempting the AWS Data Analytics exam. It is an advanced and challenging exam.
Who this course is for:
- Experienced technologists seeking certification in Big Data technologies on Amazon Web Services.
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International Student Fee 500 USD
Flexible Class Options
Corporate Group Training | Fast-Track
Week End Classes For Professionals SAT | SUN
Online Classes – Live Virtual Class (L.V.C), Online Training
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