Welcome to this practical tutorial on Big Data Architecture, where we will design an entire analytics platform from scratch. In this video, we discuss the essential components of Big Data Architecture, including data storage, processing, and analysis, and how to design a system that can process large amounts of data at high speed and variability.

To design the architecture, we must consider the following steps:

• Determine the requirements of the social media analytics use case.
• Identify the layers required for the Big Data architecture.
• Select the appropriate tools for each layer based on their benchmarking.
• Design each layer based on the specific requirements of the use case.
• Integrate the layers and test the entire system.

We also cover important topics such as data management, security, and scalability, and provide tips and best practices for designing a system that can grow and evolve over time.

So whether you are a data architect, data engineer or just want to learn more about Big Data, this tutorial is for you. Join us as we explore the fascinating world of Big Data Architecture and learn how to design a complete analytics platform.

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