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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
2.Why Big Data?
3.What is Big Data?
4.5 V's of Big Data
5.Challenges of Big Data
6.Hadoop as a Solution
7.Cloudera Hadoop Installation
8.Hadoop Ecosystem
9.Hadoop Distributed File System
10.MapReduce Analogy
11.What is MApReduce?
12.Parallel Processing-MapReduce
13.MapReduce Workflow
14.MapReduce Architecture
15.Hadoop 1.0(MR 1)
16.Limitations of Hadoop 1.0(MR 1)
17.Need for YARN
18.What is YARN?
19.YARN Components
20.YARN Components-Node MAnager
21.What is Sqoop?
22.Sqoop Features
23.Sqoop Architecture
24.What is Apache Spark?
25.History of Apache Spark
26.Apache Spark Installation on Windows
27.Apache Spark Installation on ubuntu
28.YARN

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➡️ About Data Science Course in collaboration with IBM

This Data Science course in collaboration with IBM propels your career to become a data scientist. Gain expertise in in-demand skills like Python, SQL, Excel, Machine Learning, Tableau, generative AI, and more. Dive deep into data interpretation nuances, master Machine Learning, and enhance programming skills to elevate your Data Science career.

Key Features
✅ Simplilearn's JobAssist helps you get noticed by top hiring companies
✅ Masterclasses from IBM experts
✅ Dedicated live sessions by faculty of industry experts
✅ Industry-recognized Data Scientist Master’s certificate from Simplilearn
✅ Industry-recognized IBM certifications for IBM courses
✅ Ask-Me-Anything (AMA) sessions with IBM leadership
✅ Capstone from 3 domains and 25+ projects
✅ Exclusive hackathons conducted by IBM
✅ Lifetime access to self-paced learning content
✅ Program crafted to initiate your journey as a Data Scientist
✅ Integrated labs for hands-on learning experience

Skills Covered
✅ Generative AI
✅ Prompt Engineering
✅ ChatGPT
✅ Exploratory Data Analysis
✅ Descriptive Statistics
✅ Inferential Statistics
✅ Explainable AI
✅ Conversational AI
✅ Large Language Models
✅ Model Building and Finetuning
✅ Ensemble Learning
✅ Data Visualization
✅ Database Management

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