Part 8/12:
Sequential processing bottlenecks
Redundant data ingestion and processing pipelines
To combat these, the team enhanced Spark cluster tuning, adopted distributed processing strategies, and shifted to more reactive and event-driven architectures. These improvements resulted in optimized resource utilization, lower overheads, and better data reliability.
Building a Unified Data Platform: The Prison Framework
To streamline data analytics across the organization, a centralized platform named Prison was introduced. This platform embodies a "platform approach" to long-term data management and analysis.
Features of Prison include:
Support for multiple query engines such as Presto and Spark
Custom job onboarding for data science and engineering teams