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Analyzing Petabyte Scale Financial Data with Apache Pinot and Apache Kafka

« Kafka Summit Europe 2021

At Stripe, we operate a general ledger modeled as double-entry bookkeeping for all financial transactions. Warehousing such data is challenging due to its high volume and high cardinality of unique accounts. aFurthermore, it is financially critical to get up-to-date, accurate analytics over all records. Due to the changing nature of real time transactions, it is impossible to pre-compute the analytics as a fixed time series. We have overcome the challenge by creating a real time key-value store inside Pinot that can sustain half million QPS with all the financial transactions.

We will talk about the details of our solution and the interesting technical challenges faced.

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