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Study mode:
on
1
Intro
2
Big Data is coming
3
Recency Bias
4
Big Data is receding
5
Data size is not everything
6
Scale up
7
Clean up
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Moving data
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One size doesnt fit all
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Duct TB
11
Happy Meal analogy
Description:
Explore a thought-provoking conference talk challenging the notion of Big Data's relevance in today's data landscape. Delve into Jordan Tigani's analysis of query logs, deal post-mortems, benchmark results, customer support tickets, conversations, service logs, and published blog posts as he argues that the era of Big Data has ended. Discover why data size may no longer be the primary concern and learn how to shift focus towards leveraging data for improved decision-making. Gain insights from Tigani's extensive experience as co-founder of MotherDuck and his pivotal role in creating Google BigQuery. Follow along as the talk covers topics such as recency bias, the importance of data cleanliness, moving data efficiently, and why one-size-fits-all approaches may not be optimal in data analytics. Conclude with an intriguing Happy Meal analogy that ties the concepts together, offering a fresh perspective on the future of data management and analysis.

Big Data is Dead - The End of an Era and the Future of Data Analytics

Data Council
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