Big Data In 5 Minutes | What Is Big Data?| Introduction To Big Data |Big Data Explained |Simplilearn
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This video will help you understand what Big Data is, the 5V’s of Big Data, why Hadoop came into existence, and what Hadoop is. You will also learn about the storage unit and processing unit of Hadoop, and the implementation of Big Data through use cases. In the end, we will have a quiz on Hadoop. A massive amount of data that cannot be stored, processed, and analyzed using the traditional ways is known as Big Data. Hadoop is a framework that manages Big Data storage in a distributed way and processes it parallelly. Now, let’s deep dive into this video and understand Big Data and Hadoop.
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Don’t forget to take the quiz at 04:03!
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Simplilearn’s Big Data Hadoop training course lets you master the concepts of the Hadoop framework and prepares you for Cloudera’s CCA175 Big data certification. With our online Hadoop training, you’ll learn how the components of the Hadoop ecosystem, such as Hadoop 3.4, Yarn, MapReduce, HDFS, Pig, Impala, HBase, Flume, Apache Spark, etc. fit in with the Big Data processing lifecycle. Implement real life projects in banking, telecommunication, social media, insurance, and e-commerce on CloudLab.
What is this Big Data Hadoop training course about?
The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab.
What are the course objectives?
This course will enable you to:
1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management
3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts
4. Get an overview of Sqoop and Flume and describe how to ingest data using them
5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning
6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution
7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS
9. Gain a working knowledge of Pig and its components
10. Do functional programming in Spark
11. Understand resilient distribution datasets (RDD) in detail
Who should take up this Big Data and Hadoop Certification Training Course?
Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals:
1. Software Developers and Architects
2. Analytics Professionals
3. Senior IT professionals
4. Testing and Mainframe professionals
5. Data Management Professionals
6. Business Intelligence Professionals
7. Project Managers
8. Aspiring Data Scientists
Learn more at: https://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=Big-Data&utm_medium=Description&utm_source=youtube
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40 Comments
Simplilearn
May 04, 2022 20:30 pm🔥Explore Our FREE Courses With Completion Certificate: https://www.youtube.com/watch?v=-caxhMlw_04
Muhammad Aariz Marzuq
May 04, 2022 20:30 pmi C what you did there, best intro i've ever seen
Sania’s World
May 04, 2022 20:30 pmA
Sundar Rajan
May 04, 2022 20:30 pmAns A
suraj saini
May 04, 2022 20:30 pmC
shin chan
May 04, 2022 20:30 pmA
Osinachi Chukwujama
May 04, 2022 20:30 pmI'd say HDFS doesn't perform parallel processing
Saumya Rathnayake
May 04, 2022 20:30 pmVery attractive presentation and very clear explanation. Thank you.
Selva jothi G
May 04, 2022 20:30 pmI so love this presentation. that's easily understood
captaiin cold
May 04, 2022 20:30 pmThank you so much for this explanation love that, hope team having a good day, much love :8
Lalitshree Sharda
May 04, 2022 20:30 pmAnswer is c
VSK
May 04, 2022 20:30 pmA
Niyati Patel
May 04, 2022 20:30 pma
Aflak Iqbal
May 04, 2022 20:30 pmB
Ibrahim Ismail Abubakar
May 04, 2022 20:30 pmD
veasna chea
May 04, 2022 20:30 pmletter C
blessed mbuva
May 04, 2022 20:30 pmC
Mallavarapu Gouthamreddy
May 04, 2022 20:30 pmD
Praveen Kumar
May 04, 2022 20:30 pmC
Habibullah Haidari
May 04, 2022 20:30 pmall four is correct
kalgi patel
May 04, 2022 20:30 pmA is the answer
suresh varthya
May 04, 2022 20:30 pmC
thisis pawan
May 04, 2022 20:30 pmAnswer is c
Priyadharshini Paramasivam
May 04, 2022 20:30 pmC is wrong answer
😁novaxyz
May 04, 2022 20:30 pmVery good presentation
Orbex
May 04, 2022 20:30 pmD
Rittika Bose
May 04, 2022 20:30 pmA
kolla chakrisaivijaychandra
May 04, 2022 20:30 pmA is not correct
Itech Kupsa
May 04, 2022 20:30 pmAnswer C. HDFS is the storage level where smaller chunks of data get stored in a distributed manner
TehWaver
May 04, 2022 20:30 pm2:15 had me lol. That's what I call a creative name
Man of steel
May 04, 2022 20:30 pmB
Fetrus Jari
May 04, 2022 20:30 pmthanks
Nirmal Poudel
May 04, 2022 20:30 pmThank you for this amazing presentation
Riad Mesharafa
May 04, 2022 20:30 pmA
Surbhi Rohilla
May 04, 2022 20:30 pmdata gets stored in a distributed manner in HDFS.
vansh sanghvi
May 04, 2022 20:30 pma
lun sim
May 04, 2022 20:30 pmabsolutely C. HDFS performs parallel processing of data.
Jairous Siame
May 04, 2022 20:30 pmthe answer tothe quiz is A
Ab Chowdhury
May 04, 2022 20:30 pmThe correct answer is C
Srkhan Creation
May 04, 2022 20:30 pmOption D