List of Tables

Chapter 1. Introducing streaming data

Table 1.1. Classification of real-time systems

Chapter 3. Transporting the data from collection tier: decoupling the data pipeline

Table 3.1. Tradeoffs of a message queuing system

Table 3.2. Fraud detection scenario questions

Table 3.3. Internet of Things scenario questions

Table 3.4. E-commerce requirements questions

Chapter 4. Analyzing streaming data

Table 4.1. Comparison of traditional DBMS to streaming system

Chapter 5. Algorithms for data analysis

Table 5.1. Stream-processing framework query language support

Table 5.2. Sliding window support in popular stream-processing frameworks

Table 5.3. Tumbling window support in popular stream-processing frameworks

Chapter 7. Making the data available

Table 7.1. Summary comparisons of the different protocols

Table 7.2. Considerations for filtering with the different protocols

Table 7.3. Which communication pattern to use?

Table 7.4. Which protocol to use?