Course

AWS: Data Collection Systems

Whizlabs

AWS: Data Collection Systems Course is the first step towards becoming an AWS Certified Data Analytics Specialist. This course delves into the intricacies of data collection systems and their operational characteristics. Through a structured learning approach, learners will gain a deep understanding of data streams, integration services, and data compression in AWS.

  • Explore the operational characteristics of data collection systems
  • Learn to implement Kinesis Data Streams and Firehose
  • Understand data integration services such as AWS Glue
  • Discover data compression and transformation techniques in AWS

With a focus on theory and hands-on learning, this course is suitable for engineering and science undergraduates, high school students, and professionals interested in programming.

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AWS: Data Collection Systems
Course Modules

AWS: Data Collection Systems Course is divided into three modules, each offering in-depth insights into data collection systems, integration services, and data compression in AWS. The course structure enables learners to grasp theoretical concepts and apply them through hands-on exercises.

Data Collection Systems and Data Streams in AWS

The first module, "Data Collection Systems and Data Streams in AWS," provides a comprehensive understanding of data collection systems and their operational characteristics. Learners will gain practical experience through labs and quizzes, enhancing their knowledge of Kinesis Data Streams and Firehose.

Data Integration Services in AWS

The second module, "Data Integration Services in AWS," focuses on the frequency, volume, and sources of data, along with batch, streaming, and transactional data. Additionally, learners will explore AWS Glue through practical labs and quizzes, enabling them to master data integration services.

Data Compression and Transformation in AWS

In the third module, "Data Compression and Transformation in AWS," learners will compare data collection systems and delve into data order, format, compression, and transformation techniques. The module concludes with a comprehensive course assessment quiz, allowing learners to evaluate their understanding.

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