AWS Certified Data Analytics Specialty Boot Camp in Singapore

At DreamsPlus, we offer a comprehensive AWS Certified Data Analytics Specialty Boot Camp designed for professionals in Singapore who wish to master advanced data analytics concepts and AWS services. This boot camp ensures you are fully prepared for the AWS Certified Data Analytics Specialty certification exam.

Course Overview

This intensive boot camp provides a deep dive into essential data analytics principles and a thorough understanding of AWS data analytics services and tools. You will gain expertise in:

• Data Analytics Concepts and Practices: Build foundational knowledge in data analytics, focusing on techniques for data collection, storage, processing, and visualization.

• AWS Data Analytics Services and Tools: Explore AWS services such as Amazon Redshift, AWS Glue, Amazon Kinesis, and other powerful tools. Learn how to utilize these services for efficient and scalable data analytics solutions.

• Data Preparation, Processing, and Visualization: Acquire hands-on skills in preparing, processing, and visualizing data with AWS tools. Work with large datasets while adhering to best practices in data security and governance.

• Hands-on Experience: Participate in interactive workshops and lab sessions that simulate real-world scenarios. This practical experience ensures that you are not only ready for the certification exam but also equipped with the real-world skills to apply in the field.

Prepare yourself for a career in data analytics with AWS technologies and certification—ensuring you are ready to tackle complex data challenges in the growing tech landscape of Singapore.

SYLLABUS 

Domain 1: Collection 18%

Domain 2: Storage and Data Management 22%

Domain 3: Processing 24%

Domain 4: Domain 5: Security 18%

Domain 1: Collection

1.1 Identify the collection system’s operational features

1.2 Choose a data collection system that can manage the volume, source, and frequency of data.

1.3 Choose a data collection method that takes into account the important characteristics of the data, like format, order, and compression.

Domain 2: Storage and Data Management

2.1 Identify the functional features of an analytics storage system. 

2.2 Identify the patterns of data access and retrieval.

2.3 Choose a suitable format, structure, schema, and data layout.

2.4 Establish a data lifecycle according to consumption trends and organizational needs.

2.5 Choose a suitable metadata management and data cataloging system.

Domain 3: Processing

3.1 Establish the necessary requirements for the data processing solution.

3.2 Provide a method for converting and getting ready data for analysis.

3.3 Put a data processing system into automation and operationalization.

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 suitable methods for authorization and authentication.

5.2 Apply encryption and data protection methods.

5.3 Implement compliance and data governance measures.