Free Online Tutorials ==>> COVID-19 Projects (Using AI-ML) || Machine Learning || Python Programming || DBMS || OOPs using C++ || DSA || Java Programming || Linux/Unix || C Programming
Go to your University || Python Lab || DSA Lab || AI & Machine Learning Lab || Linux Lab || OOPs Lab || DBMS Lab || JAVA Lab ||| Free Online Tutorials ||| 
companies for Campus Placement || Logical Reasoning || Quantitative Aptitude || General English || Technical-MCQ and Interview Questions || HR Interview Questions

BigData Hadoop, Data Science, Data Analysis Best Summer Winter Internship Training in Jaipur

Register for Training
Course content Summer Projects Reviews

Big Data refers to large datasets that could not be analysed by traditional database systems and processes like RDBMS and existing Data Warehousing systems. Big Data is generally characterized by Huge Volume, High Velocity and High Variety. Companies like Google, YouTube, Facebook, Amazon, Alibaba, Pandora, and Wikipedia are generating and collecting Petabytes of Big data every minute in multi-structured formats likes videos, audios, images, metadata, logs etc. The data generated can be used for Recommendations, formulating business and market strategies using Data Analysis and applying machine learning algorithms. It has been estimated that 2.5 Exabyte of Data is produced every day.

The Volume and variety of Big Data makes the task of Data Analysis using existing traditional Data processing techniques extremely challenging. To solve this issue, organizations are shifting towards using multiple servers and using parallel processing to save time and memory. There are different technologies like Hadoop, Spark, HBASE that have been developed and are rapidly evolving to deal with Big Data.

Hadoop makes it possible to run applications on systems with thousands of commodity hardware nodes, and to handle thousands of terabytes of data. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating in case of a node failure.

Who Should Take This Big Data Hadoop Training Course?

Graduates, undergraduates eager to learn the latest Big Data technology can take this bigdata training.

Programming Developers and System Administrators.

Experienced working professionals , Project managers.

Mainframe Professionals, Architects & Testing Professionals.

Business Intelligence, Data warehousing and Analytics Professionals.

Why You Should Go For Big Data And Hadoop Training?

Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research

Shortage of 1.4 -1.9 million Hadoop Data Analysts in US alone by 2018– Mckinsey

Hadoop Administrator in the US can get a salary of $123,000 – indeed.com

  Realize your learning potential with courses starting at ₹ 420
 Placements:   List of companies | Logical Reasoning Questions | Quantitative Aptitude Questions | General English Questions | Technical-MCQ and Interview Questions
 Online Free Training:  MACHINE LEARNINGPython Programming | Database Management System(DBMS) | Object Oriented Programming(OOPs) using C++ | Data Structures and Algorithms(DSA) | Java Programming | Linux/Unix | C Programming
Exams: List of Exams After Graduation | List of Engineering Entrance Examinations (UG/PG) | JEE Main | JEE Advanced | GATE | IES | ISROList of PSUs
 Download Previous Year Papers For:  GATE | IES | RAJASTHAN TECHNICAL UNIVERSITY (RTU-Kota)RPSC Technical Exams | ISRO
 Goeduhub
About Us | Contact Us   Social::   |  | 
...