
12. Product in Data Presents The Future of Data Products, Trends and Innovations
11/08/24 • 14 min
This podcast from "Product Data & Everything" discusses the future of data products, examining how advancements in data storage, processing, and analytics are transforming business operations and consumer experiences. It covers key innovations in cloud storage, edge computing, machine learning, and real-time data processing, and explores the emerging trends in data security and privacy, including the use of blockchain technology and the impact of new regulations. The article also highlights the importance of effective data management for businesses, emphasizing the need to leverage blockchain for security, comply with new regulations, and utilize real-time data processing for immediate insights.
This podcast from "Product Data & Everything" discusses the future of data products, examining how advancements in data storage, processing, and analytics are transforming business operations and consumer experiences. It covers key innovations in cloud storage, edge computing, machine learning, and real-time data processing, and explores the emerging trends in data security and privacy, including the use of blockchain technology and the impact of new regulations. The article also highlights the importance of effective data management for businesses, emphasizing the need to leverage blockchain for security, comply with new regulations, and utilize real-time data processing for immediate insights.
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11. Product in Data - Inside Canva’s Analytics Pipeline, High-Quality Data Collection and Distribution
Discover how Canva’s powerful analytics pipeline manages massive user interaction data with efficiency and precision. This episode explores Canva’s use of Protobuf schemas, Kinesis Data Streams, and flexible subscription models, ensuring data quality and performance. Learn about Canva’s strategies for real-time processing, cost-effective event distribution, and their "at-least-once" delivery guarantee, providing valuable insights for anyone interested in scalable data solutions and analytics infrastructure.;
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