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Velocity - Intro to Hadoop and MapReduce

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    Velocity, the third v, is about the speed at which the data
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    arrives, ready to be processed. We need to be able to accept
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    and store that data, even when it's coming in at a rate
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    of terabytes per day. If we can't store it as it arrives,
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    we'll end up discarding some of it, and that's what we want
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    to avoid. Think about an ecommerce website. If we knew what products
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    you've looked at in the past, we can recommend similar products the
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    next time you visit our site. If you've had spent five minutes
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    looking at a particular item, we could maybe send you
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    an email informing you the product is on sale. If
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    we know that you typically browse our site using a
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    first generation iPad, we could suggest the latest model. This is
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    a huge difference to what we could do before, when
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    we only stored the records of the actual purchases. If we
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    can store and process all of our web server logs,
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    along with the purchase data that's in our traditional data warehouse.
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    We could give the customer a much better
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    shopping experience. Which would directly translate into bigger profits.
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    Yet another example is a movie site like Netflix.
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    Based on what they know about your viewing habits,
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    they can recommend movies to you. As you can
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    see here, because of what Ian's rated highly before,
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    this movie is recommend to him. And they can
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    even predict what rating he would give this movie.
Title:
Velocity - Intro to Hadoop and MapReduce
Description:

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Video Language:
English
Team:
Udacity
Project:
ud617 - Intro to Hadoop and Mapreduce
Duration:
01:13
Udacity Robot edited English subtitles for 01-15 Velocity
Udacity Robot edited English subtitles for 01-15 Velocity
Udacity Robot edited English subtitles for 01-15 Velocity
Cogi-Admin edited English subtitles for 01-15 Velocity

English subtitles

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