AWS Certified Data Analytics Specialty Portugal
Exam Introduction
The programme AWS Certified Data Analytics – Specialty was created for professionals who want to acquire advanced data analysis skills using Amazon Web Services (AWS). This certification validates competencies in data collection, storage, processing, visualization, and governance in large-scale environments, in addition to covering fundamental concepts of security and optimization of big data solutions.
Throughout the course, participants learn how to design modern analytics architectures, integrate different AWS services, automate pipelines, and extract strategic value from structured and unstructured data. The training prepares students practically and comprehensively to face the challenges of the AWS Certified Data Analytics – Specialty certification exam, covering both technical fundamentals and real-world application scenarios.
Exam Requirements
To fully benefit from the course, participants are recommended to have practical experience with data analysis and big data in cloud environments. Prior knowledge of data architecture, query languages such as SQL, and core AWS services is highly desirable. Intermediate certifications, such as the AWS Certified Solutions Architect – Associate ou AWS Certified Developer – Associate, which provide a solid foundation for the more advanced concepts covered on the exam.
The exam assesses the ability to design complete analytical solutions, from data ingestion to visualization, requiring mastery of batch and streaming pipelines, security, governance, and best optimization practices.
Benefits of Certification
The AWS Certified Data Analytics – Specialty certification is highly valued in the market and demonstrates the ability to build robust, secure, and scalable analytics solutions in the AWS cloud. Earning this credential broadens your career opportunities in areas such as data engineering and architecture, business intelligence, and applied data science.
For companies, having certified professionals means having teams capable of transforming raw data into valuable insights, driving data-driven strategies, innovation, and operational efficiency. Furthermore, certification demonstrates alignment with global standards of excellence in analytics and cloud architecture.
For whom it is addressed
This course is designed for data engineers and architects, business intelligence analysts, technology consultants, data scientists, and professionals working with big data solutions on AWS. It's also ideal for solutions architects who design and implement large-scale data pipelines, as well as consultants who help companies develop and optimize data lakes and analytics architectures.
Professionals who want to earn the AWS Certified Data Analytics – Specialty certification and stand out in the technology market will find this course to offer practical, up-to-date, and strategically structured training.
Program content
1. Fundamentals of Data Analytics on AWS
- Introduction to AWS Data Analytics Services
- Components of AWS Data Lake: Storage, ingestion, processing and visualization
- Big Data Architecture Overview on AWS
- Data processing models: Batch and streaming
2. Data Collection and Ingestion
- Real-time data ingestion with Amazon Kinesis
- Batch Data Collection with AWS Glue and AWS Data Pipeline
- Using Amazon S3 and Amazon Redshift for data storage in data lakes
- Setting up data streams with AWS IoT and Amazon Managed Streaming for Apache Kafka (MSK)
3. Batch and Streaming Data Processing
- Real-time data processing with Amazon Kinesis Data Analytics
- Creating ETL (Extract, Transform, Load) with AWS Glue
- Using Amazon EMR for Large-Scale Data Processing with Hadoop and Spark
- Automating Data Pipelines with AWS Step Functions
4. Data Storage and Management
- Data storage in Amazon S3, Amazon Redshift, and Amazon RDS
- Using Amazon DynamoDB for NoSQL Databases
- Tiered data storage management for cost optimization
- Data backup, recovery and replication strategies
5. Data Analysis and Visualization
- Creating SQL Queries with Amazon Athena
- Using Amazon Redshift for High-Performance Data Analytics
- Data Visualization with Amazon QuickSight
- Integrating Third-Party Visualization Tools with AWS
6. Data Security and Governance
- Encrypting data at rest and in transit with AWS KMS and AWS CloudHSM
- Managing Access Policies with AWS IAM and Amazon Lake Formation
- Monitoring and auditing data with AWS CloudTrail and AWS Config
- Implementing compliance and governance in data lakes
7. AWS Certified Data Analytics – Specialty Exam Preparation
- AWS Certified Data Analytics – Specialty Exam Format
- Exam simulations and practices
- Exam Tips: Answer Strategies
- Review of key topics and concepts
Differential
This course's unique feature lies in its practical approach, aligned with real-world scenarios required for the exam and the market. Each module is designed to develop applicable skills, combining solid theory with practical exercises, simulations, and real-world case studies. Participants emerge prepared not only to pass the exam but also to implement comprehensive data analytics solutions on AWS, integrating services, applying best practices, and optimizing results at scale.
This training stands out for offering technical depth, strategic focus, and immediate applicability, making it a valuable investment for professionals and organizations seeking excellence in cloud data analytics.
