AWS Certified Data Analytics Specialty 2021 – Hands-On - Collection Section Introduction

The video tutorial covers three main methods of moving data into AWS: real-time, near real-time, and batch collection. Real-time collection allows immediate action on data using services like Kinesis Data Streams, SQS, and IoT. Near real-time collection is more reactive, utilizing tools like Kinesis Data Firehose and Database Migration Service. Batch collection is used for transferring large datasets for historical analysis, employing services such as Snowball and Data Pipeline. The tutorial aims to provide a comprehensive understanding of these methods and their applications.

What are the three different categories of data collection methods mentioned?

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Explain the concept of real-time data collection and provide examples of services used for it.

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What does near real-time data collection mean and how does it differ from real-time collection?

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Describe the batch data collection method and its typical use cases.

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What services are mentioned for batch data collection and what is their purpose?

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