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In this video " Top 20 Hadoop Interview Questions" we will cover the 20 most asked question in the hadoop and big data interviews.
Big Data in layman’s terms is a vast volume of high velocity data , think of hundreds of gigabytes of data flowing through in minutes. Obviously this can’t be stored and processed using traditional data processing systems. Now this is where Hadoop comes in. Hadoop is an open-source framework designed to handle big data. It provides a distributed file system (Hadoop Distributed File System - HDFS) and a distributed processing framework (MapReduce) that allows for parallel and scalable processing of large datasets across clusters of nodes. Hadoop's architecture enables fault tolerance and high availability, making it suitable for processing big data. Organizations and enterprises globally are on the lookout for skilled professionals who are able to handle such vast volumes of data, help structure and streamline the processing of this data. The salary of a Hadoop developer can vary based on factors like experience, location, company size, and industry but on average Hadoop developers earn anywhere between $80,000 and $150,000 per year which can go as high as 250,000$ for some experienced roles. It is therefore one of the best times for you to get yourself certified and skilled in the big data domain. With companies like Google, Adobe, Intuit,Oracle, Accenture, VISA, and many hiring hadoop developers you must get yourself enrolled in one of our amazing certification training programs to land yourself your dream job. Let me tell you about this global certification program.

00:00 Introduction to Big Data and Hadoop
Hadoop Developer Salary
Companies Hiring Hadoop Developer
Top 20 Hadoop Interview Questions

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About Post Graduate Program In Data Engineering
Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ 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

✅ Tools Covered
- Amazon EMR
- Amazon RedShift
- MongoDB
- Python
- Apache spark
- Data Bricks
- SQL
- and more...

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*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️
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Data Analytics Full Course 2023 by simplilearn is a detailed and organised full covers the major data analytics fundamentals. The course will guide the aspiring data analysts with the skills required to become a data analyst, the roles and responsibilites of a data analyst, slary of a data analyst, companies hiring data analysts and much more.

00:00:00 Introduction to Data Analytics Course
00:02:11 Data Analyst job, skills, Roles, career, salary
00:02:25 Growth of Data
00:05:09 Job roles in Data Analytics
00:22:40 Resume of a Data Analyst
00:27:17 How to Become a Data Analyst
00:30:50 Roles and Responisibilities of a data analsyt
00:33:10 Skills for a data analsyt
00:34:45 Salary of a data analsyt
00:35:25 Companies Hiring Data Analyst
00:37:45 Technical Tools for Data Analyst
01:07:20 Business Analsyt VS Data Analsyt
01:25:29 Applications of Data Analytics
01:35:10 Data Analytics with Python
01:37:41 NumPy for Data Analytics
01:38:41 Pandas for Data Analytics
01:39:41 MatPlotLib For Data Visualization
01:40:31 Demo on Data Analytics
01:41:41 Anaconda Installation
01:42:51 Jupyter Notebook for Data Analytics
02:49:30 Time Series forecasting
03:50:50 Spotify Data Analytics using python
04:41:17 World Happiness Report
05:36:40 Data Analysis with R and Python
05:53:10 Data Analysis Life-Cycle
06:01:10 Types of Data Analysis
06:06:40 Data analysis with R
07:49:30 Big Data Analytics
07:52:40 Importance of Big Data Analytics
07:53:40 Types of Big data analytics
07:54:40 Life Cycle of big Data Analytics
07:58:20 Tools of big data analytics
08:00:50 Advantages of big analytics
08:02:53 Use cases of Big Data analytics
08:05:33 Data Visualisation
08:31:33 Types of Plots
08:31:43 SeaBorn
08:32:24 Power Bi
08:43:34 What is Power Bi
08:45:44 Feature of Power Bi
08:51:14 Data Visualization with Power Bi
09:12:34 Data modelling
09:17:24 Cardianality
10:02:04 Tableau for data analytics
10:38:04 Data Analyst Interview Questions

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➡️ About Post Graduate Program In Data Analytics
This Data Analytics Program is ideal for all working professionals and prior programming knowledge is not required. It covers topics like data analysis, data visualization, regression techniques, and supervised learning in-depth via our applied learning model with live sessions by leading practitioners and industry projects.

✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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- Capstone from 3 domains and 14+ Data Analytics Projects with Industry datasets from Google PlayStore, Lyft, World Bank etc.
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- Resume preparation and LinkedIn profile building
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✅ Skills Covered
- Data Analytics
- Statistical Analysis using Excel
- Data Analysis Python and R
- Data Visualization Tableau and Power BI
- Linear and logistic regression modules
- Clustering using kmeans
- Supervised Learning

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➡️ About Post Graduate Program In Digital Marketing:
Get a hands-on Live Interactive Learning experience with this Digital Marketing Course. Learn via fundamental and advanced material, preparing you for your Digital Marketing Career. Get a Meta Certified Digital Marketing Associate exam voucher worth USD $99 to showcase your skills.

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- Build your website & learn real-world hands-on digital marketing techniques
- Master sessions by Meta Blueprint trainer
- 6-credit transfer for the Purdue Online MS in Communication program
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- 5 Capstone problem statements and 15+ course-end projects
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- 35+ digital marketing tools
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✅ Skills Covered
- Website Creation
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