
Data Alone Is Not Enough: The Evolution of Data Architectures
a16z Podcast
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Navigating Modern Data Architectures
This chapter examines the complexities of data querying and processing, highlighting the importance of both batch processing and streaming analytics in real-time data management. It discusses the evolution of data architectures, the need for effective data lakes, and the integration challenges faced by machine learning platforms within organizations. Additionally, the chapter emphasizes best practices for building data infrastructure that supports analytics, AI/ML applications, and the significance of a multi-cloud approach.
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