BIG DATA: Hands on in Technologies - Hadoop, Hive & Sqoop
Dr. Kowsigan Mohan
3:40:30
Description
Hadoop, Hive, Sqoop
What You'll Learn?
- Understand Hadoop architecture and its Business Implications
- Build reliable, scalable distributed system with Apache Hadoop
- Understanding Query Processing using HIVE
- Import and export data into Hadoop Distributed File system
Who is this for?
What You Need to Know?
More details
Description
•What Is Big Data? Hint: You’re a Part of It Every Day
•As per the authors Chris Eaton, Dirk deroos et al, “Big Data†is a bit of a misnomer since it implies that preexisting data is somehow small (it isn’t) or that the only challenge is its sheer size (size is one of them, but there are often more).
•In short, the term Big Data applies to information that can’t be processed or analyzed using traditional processes or tools.
•Increasingly, organizations today are facing more and more Big Data challenges.
•They have access to a wealth of information, but they don’t know how to get value out of it because it is sitting in its most raw form or in a semi structured or unstructured format; and as a result, they don’t even know whether it’s worth keeping
•An IBM survey found that over half of the business leaders today realize they don’t have access to the insights they need to do their jobs.
•Companies are facing these challenges in a climate where they have the ability to store anything and they are generating data like never before in history; combined, this presents a real information challenge.
•It’s a conundrum: today’s business has more access to potential insight than ever before, yet as this potential gold mine of data piles up, the percentage of data the business can process is going down—fast.
•Through advances in communications technology, people and things are becoming increasingly interconnected, interconnectivity is responsible for exponential data growth rate
Who this course is for:
- Beginners of Bigdata
•What Is Big Data? Hint: You’re a Part of It Every Day
•As per the authors Chris Eaton, Dirk deroos et al, “Big Data†is a bit of a misnomer since it implies that preexisting data is somehow small (it isn’t) or that the only challenge is its sheer size (size is one of them, but there are often more).
•In short, the term Big Data applies to information that can’t be processed or analyzed using traditional processes or tools.
•Increasingly, organizations today are facing more and more Big Data challenges.
•They have access to a wealth of information, but they don’t know how to get value out of it because it is sitting in its most raw form or in a semi structured or unstructured format; and as a result, they don’t even know whether it’s worth keeping
•An IBM survey found that over half of the business leaders today realize they don’t have access to the insights they need to do their jobs.
•Companies are facing these challenges in a climate where they have the ability to store anything and they are generating data like never before in history; combined, this presents a real information challenge.
•It’s a conundrum: today’s business has more access to potential insight than ever before, yet as this potential gold mine of data piles up, the percentage of data the business can process is going down—fast.
•Through advances in communications technology, people and things are becoming increasingly interconnected, interconnectivity is responsible for exponential data growth rate
Who this course is for:
- Beginners of Bigdata
User Reviews
Rating
Dr. Kowsigan Mohan
Instructor's Courses
Udemy
View courses Udemy- language english
- Training sessions 28
- duration 3:40:30
- Release Date 2024/04/27
