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Learning Real-time Processing with Spark Streaming by Sumit Gupta

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Summary

In this chapter, we have discussed in detail the various available transformations, starting from aggregations and also including advance functions like windowing and sliding windows. We also discussed various aspects of Spark Streaming which should be considered while performance tuning our Spark Streaming jobs.

In the next chapter, we will discuss persisting log analysis data and integration with various other NoSQL databases.

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