Apache Kafka - Real-time Stream Processing (Master Class) - Emergence of Bigdata - A Quick Recap

The video discusses the evolution of big data, starting with Google's innovative PageRank algorithm and the challenges they faced in data collection, storage, and processing. It highlights the limitations of batch processing, as seen in Hadoop, and the growing need for real-time data processing solutions. The video concludes with a look at emerging technologies like Kafka and Spark that address these needs.

What is the significance of speed in the context of Google's search engine and big data applications?

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What are some examples of time-sensitive data mentioned in the lecture?

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What was the outcome of Google's three white papers on data processing?

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What is the batch processing approach and how does it relate to big data?

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