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

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\nThis is the first lecture of this course that talks about some history, from where we started, and where are we going with the data processing. Here, you will learn about the Big Data problem and how it started. This lesson will...\nThis is the first lecture of this course that talks about some history, from where we started, and where are we going with the data processing. Here, you will learn about the Big Data problem and how it started. This lesson will introduce the three whitepapers that Google published which started the big data movement and led to the development of Hadoop. Then, we will go ahead and discuss some shortcomings of the approach that Hadoop takes for processing large volumes of data.

This clip is from the chapter \"Introduction to Real-time Streams\" of the series \"Apache Kafka - Real-time Stream Processing (Master Class)\".Learn how to create a new project and action result in razor along with Razor pages and dependency injection\n
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Resource Details

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Educator Rating
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Media Length
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10:45
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Grade
Higher Ed
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Subjects
STEM
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Media Type
Instructional Videos
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Source:
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\nPackt - Data\n\n
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Date
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2022
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Language
English
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Audiences
For Teacher Use
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Fine Print: Educational Use
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Concepts

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data, time
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emergence, of, bigdata, -, a, quick, recap, web page, kafka streams, search engine, simple program, web crawler, white papers, massive amount, big data, data points, storage system, google knew, storage, google, batch, problems, approach, hadoop, insights, requirements, talked, problem, processing, deal, lecture, started, hand, internet, based
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Best For: Explaining a topic
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