Why Nextdoor Ditched A Data Warehouse for A Centralized Data Lake

Discover how Nextdoor transitioned from a traditional data warehouse to a centralized data lake leveraging Qubole’s cutting-edge cloud infrastructure. In this insightful webinar presented by Ivan Peng, a software engineer at Nextdoor, you’ll learn about the challenges faced with scaling data analytics and BI, and how a strategic shift to Qubole helped overcome these obstacles, enabling efficient, scalable data processing.

What You’ll Learn:

Challenges with Traditional Data Warehouses:
- Understand the scalability and cost challenges faced by Nextdoor with their existing Redshift data warehouse setup.
Transitioning to a Centralized Data Lake:
- Discover the reasons behind Nextdoor’s shift towards a storage-only data lake, with Qubole as the compute engine, and how it simplified their data architecture.
Benefits of Using Presto on Qubole:
- Learn about the advantages of using Presto on Qubole for data processing, including flexibility, scalability, and cost-efficiency.
Democratization of Data Access:
- See how Nextdoor democratized data access across the company, enabling deeper data exploration and analysis without the need for engineering intervention.
Achieving Feature Parity and Performance:
- Explore the solutions implemented to replicate read isolation and secure permissions within the new data lake environment.
Future Directions and Performance Improvements:
- Gain insights into Nextdoor’s future plans to further enhance their data processing capabilities and explore potential performance gains.

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