Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world!
À propos de ce cours
Compétences que vous acquerrez
Université de Californie à San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
- 5 stars70,03 %
- 4 stars23,70 %
- 3 stars4,21 %
- 2 stars1,02 %
- 1 star1,02 %
Meilleurs avis pour INTRODUCTION AUX BIG DATA
I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.
A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort. Very smooth learning experience.
Very interesting course. Explained concepts I'd heard of but didn't really know about. It is a foundation course for a specialization, it's not enough by itself but very good as a foundation course.
This is a great course. I learnt a lot from this course. What I like about this course is the hands-on experience with Hadoop. Such a good add-on on our skill, instead of just theoretical learning.
À propos du Spécialisation Big Data
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
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