Modern Big Data Architectures. Dominik Ryzko
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3 Chapter 4Figure 4.1 Search engine – indexing.Figure 4.2 Search engine – query.Figure 4.3 Ad-tech ecosystem.Figure 4.4 RTB message flow.
4 Chapter 5Figure 5.1 OpenStack MapFigure 5.2 Deployment method evolution.Figure 5.3 Auto scaling groups.Figure 5.4 Distributed DB architectures.Figure 5.5 HDFS architecture.
5 Chapter 6Figure 6.1 MapReduceFigure 6.2 Graph operation in DryadFigure 6.3 Finding minimal value with PregelFigure 6.4 Roaring bitmaps.Figure 6.5 Summary reduction.Figure 6.6 Kafka topic.Figure 6.7 Spark Streaming flow.Figure 6.8 Unbounded table.Figure 6.9 Flink architecture.Figure 6.10 Storm topology.Figure 6.11 Storm task grouping.Figure 6.12 S4 processing node.Figure 6.13 Mantis architecture.Figure 6.14 Spark stack.Figure 6.15 The lambda architecture.Figure 6.16 Architecture for multi-agent big data processing.Figure 6.17 Kappa architecture.Figure 6.18 Delta architecture.Figure 6.19 Realtime data processing at Facebook.Figure 6.20 Starfish ecosystem
6 Chapter 7Figure 7.1 Hive architecture (MapReduce)Figure 7.2 Tez data processing.Figure 7.3 High-level architecture of Kylin.Figure 7.4 Shark architecture.Figure 7.5 Spark SQL data flows.Figure 7.6 Spark SQL query planningFigure 7.7 Twitter ML architecture – integration of learners into Pig storag...Figure 7.8 Pipelined MapReduce.
7 Chapter 8Figure 8.1 Mobile cloud computing architecture.Figure 8.2 Mobile cloud computing architecture with backend and local clouds...Figure 8.3 Cloud of things architecture.Figure 8.4 IoTCloud architecture.
Guide
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