Amazon AWS Certified Data Analytics – Specialty in Germany, France, Italy, Spain

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

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
Apply machine learning to massive data sets with Amazon ML, SageMaker, and deep learning
Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS, and Aurora
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

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)
AWS recommends associate-level certification before attempting the AWS Data Analytics exam. It is an advanced and challenging exam.