Big Data Tutorial For Beginners | Big Data Full Course | Learn Big Data Step By Step | Simplilearn

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In this full course video on Big data, you will learn about Big data, Hadoop, and Spark. First, we will look into a big data tutorial, the challenges in big data, and how Hadoop solves these challenges. You will learn how to install Hadoop, then understand the various components of Hadoop that are HDFS, MapReduce, and YARN. HDFS will teach you how to store big data, and MapReduce will show you how to process this big data. In YARN, you will learn how cluster resource management works. In addition to these components, you will also look into the Hadoop ecosystem, which consists of Hive, Pig, Sqoop, and HBase.

Below topics are explained in this Big Data full course video:
1.Evolution of Big Data - 00:58
2.Why Big Data? - 05:38
3.What is Big Data? - 10:18
4.5 V's of Big Data - 11:48
5.Challenges of Big Data - 24:18
6.Hadoop as a Solution - 27:58
7.Cloudera Hadoop Installation - 30:28
8.Hadoop Ecosystem - 58:39
9.Hadoop Distributed File System - 1:07:00
10.MapReduce Analogy - 1:46:40
11.What is MApReduce? - 1:48:40
12.Parallel Processing-MapReduce - 1:54:20
13.MapReduce Workflow - 1:54:50
14.MapReduce Architecture - 2:01:50
15.Hadoop 1.0(MR 1) - 2:29:50
16.Limitations of Hadoop 1.0(MR 1) - 2:34:30
17.Need for YARN - 2:36:40
18.What is YARN? - 2:39:30
19.YARN Components - 2:41:30
20.YARN Components-Node MAnager -2:49:40
21.What is Sqoop? - 3:35:31
22.Sqoop Features - 3:36:01
23.Sqoop Architecture - 3:37:10
24.What is Apache Spark? - 5:53:02
25.History of Apache Spark - 5:53:32
26.Apache Spark Installation on Windows - 6:30:52
27.Apache Spark Installation on ubuntu - 7:01:42
28.YARN - 8:10:48

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➡️ About Post Graduate Program In Data Engineering
This Data Engineering course is ideal for professionals, covering critical topics like the Hadoop framework, Data Processing using Spark, Data Pipelines with Kafka, Big Data on AWS, and Azure cloud infrastructures. This program is delivered via live sessions, industry projects, IBM hackathons, and Ask Me Anything sessions.
✅ Key Features
Post Graduate Program Certificate and Alumni Association membership
- Exclusive Master Classes and Ask me Anything sessions by IBM
- 8X higher live interaction in live Data Engineering online classes by industry experts
- Capstone from 3 domains and 14+ Projects with Industry datasets from YouTube, Glassdoor, Facebook etc.
- Simplilearn's JobAssist helps you get noticed by top hiring companies

✅ Skills Covered

- Real-Time Data Processing
- Data Pipelining
- Big Data Analytics
- Data Visualization
- Provisioning data storage services
- Apache Hadoop
- Ingesting Streaming and Batch Data
- Transforming Data
- Implementing Security Requirements
- Data Protection
- Encryption Techniques
- Data Governance and Compliance Controls

🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
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Below topics are explained in this Big Data full course video:1.Evolution of Big Data - 00:58
2.Why Big Data? - 05:38
3.What is Big Data? - 10:18
4.5 V's of Big Data - 11:48
5.Challenges of Big Data - 24:18
6.Hadoop as a Solution - 27:58
7.Cloudera Hadoop Installation - 30:28
8.Hadoop Ecosystem - 58:39
9.Hadoop Distributed File System - 1:07:00
10.MapReduce Analogy - 1:46:40
11.What is MApReduce? - 1:48:40
12.Parallel Processing-MapReduce - 1:54:20
13.MapReduce Workflow - 1:54:50
14.MapReduce Architecture - 2:01:50
15.Hadoop 1.0(MR 1) - 2:29:50
16.Limitations of Hadoop 1.0(MR 1) - 2:34:30
17.Need for YARN - 2:36:40
18.What is YARN? - 2:39:30
19.YARN Components - 2:41:30
20.YARN Components-Node MAnager -2:49:40
21.What is Sqoop? - 3:35:31
22.Sqoop Features - 3:36:01
23.Sqoop Architecture - 3:37:10
24.What is Apache Spark? - 5:53:02
25.History of Apache Spark - 5:53:32
26.Apache Spark Installation on Windows - 6:30:52
27.Apache Spark Installation on ubuntu - 7:01:42
28.YARN - 8:10:48

Do you have any questions on this topic? Please share your feedback in the comment section below and we'll have our experts answer it for you. Thanks for watching the video. Cheers!

SimplilearnOfficial
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Big thanks for explaination of what big data is and how big data works. It is helpful and udeful for beginners.

mangocola
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Finally a good tutorial to understand the stuff behind BIG DATA...

A BIG THANK YOU.. FOR ALL THE PEOPLE INVOLVED IN DOING THIS TUTORIAL

ShreyasKumar
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Thanks for sharing... There is a lot of information. Learn and consider data. It's an important thing in modern success.

unmiss-com
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Thanks a lot for this informative video
Really appreciate your

Can Simplilearn upload this type of complete course on other topics also?

vijetakri
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Hello, I'm Brazilian and I'm deaf. Please release subtitled youtube for me to learn. thank you

fernandomassedo
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Great video! What laptop specifications is required for Big Data?

elpasadooscuro
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hi I want to know what's the difference between this course and the Hadoop course that this channel upload?

jasonhalim
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Sir I am confused about career in big Data. I am unable to choose which could suit best for a person which zero year of experience to grow well in this field. Please help in this regard and Don let me know what are the pre requisition for big Data course. Do I need to understand the concepts of data analytics well to understand this course better or simply this course alone is enough.

sonalisingh
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NASA was receiving data mostly 24.50 into it no radar going on they were sending recieved data for analysis to users

morrislancaster
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What are the prerequisites for this course

roshnigupta
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Please add subtitles, any youtube channel, even the most basic one has subtitles.

hernanduquelsky
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Sir i am having laptop with 4 gb ram and i5 processor. Is it enough or not??

himanshuupadhayay
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in 37:57, 8 Gb is total computer RAM or just for cloudera VM ? thank you

ArieBayang
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Hadoop Namenode formatting failed any solution, Please🙏

dhaneshkumarr
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sound quality is not so good that one can watch it with ease for more than 10 minutes. Kindly work on it

prakharprakashverma
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I'm not able to access the lab kindly help

amanchauhan
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All the digital data in the world = Big Data

supriyochatterjee