What is MapReduce♻️in Hadoop🐘| Apache Hadoop🐘

MapReduce performs the processing of large data sets in a distributed and parallel manner.
MapReduce consists of two distinct tasks-Map and Reduce.
Two essential daemons of MapReduce: Job Tracker & Task Tracker.

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[RahulBiswas-cxdp]

Sir please make a playlist of big data and add this video along with HDFS, map reduce and continue the playlist with videos on Big Data

[DataScientist-ousc]

This man is gold forreal. Lots of love and respect for you sir! You have no idea how much students are benefited from your amazing lectures.

[SreedatriChakraborty]

Thank you so much sir for your videos. I have watched all. They are very helpful. Your way of teaching is very easy and understandable.

[Yekyahaigaming]

00:02 MapReduce is a key component of Apache Hadoop for distributed and parallel processing of large datasets.
01:28 MapReduce is a two-step process consisting of map and reduce tasks.
02:53 MapReduce in Hadoop is a process where reducer class reduces intermediate results into final results.
04:04 MapReduce components in Hadoop
05:20 Distribute data for maximum sales analysis
06:34 MapReduce is a processing unit that works on data notes in parallel to avoid repeated data calls and delays.
07:46 MapReduce in Hadoop involves parallel processing and shuffling to achieve efficiency.
08:51 MapReduce is a technique in Hadoop for parallel processing.
Crafted by Merlin AI.00:02 MapReduce is a key component of Apache Hadoop for distributed and parallel processing of large datasets.
01:28 MapReduce is a two-step process consisting of map and reduce tasks.
02:53 MapReduce in Hadoop is a process where reducer class reduces intermediate results into final results.
04:04 MapReduce components in Hadoop
05:20 Distribute data for maximum sales analysis
06:34 MapReduce is a processing unit that works on data notes in parallel to avoid repeated data calls and delays.
07:46 MapReduce in Hadoop involves parallel processing and shuffling to achieve efficiency.
08:51 MapReduce is a technique in Hadoop for parallel processing.

[PrithaMajumder]

Sir, Thanks a lot for This Amazing Lecture 🙂
Lecture - 4 Completed ✅ in Big Data

[srashtithapar]

Your way of explanation is really superb sir 👏👏

[shammibhullar]

Sir really u r a very good teacher..can u provide us Java video...

[Anonymous-forv]

i wish mere cllg m bhi aese teachers you Sir

[ssofficial]

A very good class...understood everything in simple way...❤❤

[_____chikara____]

Thank you so much sir 🥰 your way of explanation is really superb 👏👏

[suvradeepbanerjee]

Just brilliantly explained thank you sir

[initiative_Angel]

No words for your teaching style ....I passed my all exams by only watching your video 😊

[iotdheeraj]

Intermediate data generated during the Map phase is stored locally, but it can be recomputed if lost due to a node failure, preventing the entire job from failing.

(As many people had a doubt about this)

[काव्यगंध]

Chumeshwari Boss... jabrdast example देके map reduce पढाया ..thanks lot Sir..❤❤❤💐🙏🤗👍

[seemamadyan]

Sir pls make video on hpsc pgt screening exam of computer science and thankyou so much sir bcs my htet pgt computer science 2022 exam is clear bcs of ur videos. Thanks a lot sir, 😘 u r the best teacher in the world.

[knowledgeforconfidence]

sir please do classes on natural language processing also.
cover the topics like government-binding, n-gram model, etc.
please sir.

[chahatgarg]

Thank you so much for your video, please make more videos on business analytics subject.

[Aparichigft]

I was aboit yo leave yhis topic when i saw that this topic is not understooable but now i hot some idea to write in exam thanks

[snehameshramseen]

Sir please make video for all core components of hadoop

[nisharathi]

Thanku so much sir 😊 your explanation is really amazing