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Ad Click Event Aggregation

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Reference 1 in Chapter 6: Clickthrough rate (CTR): Definition

support.google.com
Reference 2 in Chapter 6: Conversion rate: Definition

support.google.com
Reference 3 in Chapter 6: OLAP functions

docs.oracle.com
Reference 4 in Chapter 6: Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting

arxiv.org PDF
Reference 5 in Chapter 6: LanguageManual ORC

cwiki.apache.org
Reference 6 in Chapter 6: Parquet

databricks.com
Reference 7 in Chapter 6: What is avro

ibm.com
Reference 8 in Chapter 6: Big Data

datakwery.com
Reference 9 in Chapter 6: An Overview of End-to-End Exactly-Once Processing in Apache Flink

flink.apache.org
Reference 10 in Chapter 6: DAG model

en.wikipedia.org
Reference 11 in Chapter 6: Understand star schema and the importance for Power BI

docs.microsoft.com
Reference 12 in Chapter 6: Designing Data-Intensive Applications

2017
Reference 13 in Chapter 6: Apache Flink

flink.apache.org
Reference 14 in Chapter 6: Lambda architecture

databricks.com
Reference 15 in Chapter 6: Kappa architecture

hazelcast.com
Reference 16 in Chapter 6: Stream Processing, in Designing Data-Intensive Applications

2017
Reference 17 in Chapter 6: End-to-end Exactly-once Aggregation Over Ad Streams

youtube.com
Reference 18 in Chapter 6: Ad traffic quality

google.com
Reference 19 in Chapter 6: Understanding MapReduce in Hadoop

section.io
Reference 20 in Chapter 6: Flink on Apache Yarn

ci.apache.org gone
Reference 21 in Chapter 6: How data is distributed across a cluster (using virtual nodes)

docs.datastax.com
Reference 22 in Chapter 6: Flink performance tuning

nightlies.apache.org
Reference 23 in Chapter 6: ClickHouse

clickhouse.com
Reference 24 in Chapter 6: Druid

druid.apache.org
Reference 25 in Chapter 6: Real-Time Exactly-Once Ad Event Processing with Apache Flink, Kafka, and Pinot

eng.uber.com gone

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The reference lists are by Alex Xu and Sahn Lam, from System Design Interview: An Insider’s Guide, and are published at github.com/alex-xu-system/bytebytego. This site is not affiliated with them or with ByteByteGo.

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