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Hadoop Tutorial For Beginners 2022 | Hadoop Full Course In 10 Hours | Big Data Tutorial |Simplilearn

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This full course video on Hadoop will introduce you to the world of big data, the applications of big data, the significant challenges in big data, and how Hadoop solves these major challenges. You will get an idea about the essential tools that are part of the Hadoop ecosystem. You will learn how Hadoop stores vast volumes of data using HDFS, and processes this data using MapReduce. You will understand how cluster resource management works using YARN. It will make you know how you can query and analyze big data using tools and frameworks like Hive, Pig, Sqoop, and HBase. These of these tools will give a hands-on experience that will help you understand it better. Finally, you will see how to become a big data engineer and come across a few important interview questions to build your career in Hadoop. Now, let's get started and learn Hadoop.
The below topics are covered in this Hadoop full course tutorial:
Evolution of Big Data
Why Big Data
What is Big Data
5V's of Big Data
Big Data Case Study
Challenges of Big Data
Hadoop as a Solutions
History of Hadoop
Cloudera Hadoop Installation
Hadoop Installation on Ubuntu
Hadoop Ecosystem
HDFS Tutorial
Why HDFS?
What is HDFS? -
HDFS Cluster Architecture
HDFS Data Blocks
DataNode Failure and Replication
Rack Awareness in HDFS
HDFS Architecture
HDFS Read Mechanism
HDFS Write Mechanism
HDFS Write Mechanism with example
Advantages of HDFS
HDFS Tutorial
MapReduce Analogy
What is MapReduce?
Parallel Processing MapReduce
MapReduce Workflow
MapReduce Architecture
MapReduce Example
Hadoop 1.0 (MR 1)
Limitations of Hadoop 1.0 (MR 1)
Need for YARN - 4:02:25
Solution - Hadoop 2.0 (YARN) - 4:04:15
What is YARN? - 4:05:13
Workloads running on YARN - 4:06:33
YARN Components
YARN Components - Resource Manager
YARN Components - Node Manager
YARN Architecture
Running an application in YARN
Need for Sqoop
What is Sqoop
Sqoop Features
Sqoop Architecture
Sqoop Import
Sqoop Export
Sqoop Processing
Demo on Sqoop
Flume
Hadoop Ecosystem
History of Hive
Big Data Analytics
Big Data Applications
How to become a Big Data Engineer
Hadoop Interview Questions
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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