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Mastering Data at Scale: Uber's Evolving Architecture
This chapter explores Uber's journey in navigating their tech stack for analytics, highlighting the vital role of HBase and effective data management practices. It discusses the significant integration of technologies like Spark, Airflow, and Kafka, as well as the introduction of Ledger Store for tracking immutable datasets. Additionally, the conversation addresses the complexities of scaling, data migration, and maintaining consistency across vast amounts of data, emphasizing the need for tailored solutions in an ever-growing environment.