Chevron Left
返回到 Introduction to Big Data with Spark and Hadoop

學生對 IBM 提供的 Introduction to Big Data with Spark and Hadoop 的評價和反饋

81 個評分
15 條評論


Bernard Marr defines Big Data as the digital trace that we are generating in this digital era. In this course, you will learn about the characteristics of Big Data and its application in Big Data Analytics. You will gain an understanding about the features, benefits, limitations, and applications of some of the Big Data processing tools. You’ll explore how Hadoop and Hive help leverage the benefits of Big Data while overcoming some of the challenges it poses. Hadoop is an open-source framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. Hive, a data warehouse software, provides an SQL-like interface to efficiently query and manipulate large data sets residing in various databases and file systems that integrate with Hadoop. Apache Spark is an open-source processing engine that provides users new ways to store and make use of big data. It is an open-source processing engine built around speed, ease of use, and analytics. In this course, you will discover how to leverage Spark to deliver reliable insights. The course provides an overview of the platform, going into the different components that make up Apache Spark. In this course, you will also learn about Resilient Distributed Datasets, or RDDs, that enable parallel processing across the nodes of a Spark cluster....



1 - Introduction to Big Data with Spark and Hadoop 的 16 個評論(共 16 個)

創建者 Thanh-Long N


P​ersonally, I've found that the knowledge delivering method should be redone in a more attractive manner. Concretly, the fact of giving too many texts and theories in the slides easily make students get bored and lack of motivation to continue listening. For such kind hands-on courses, we need more and more practical exercises instead of too many theories lectures without showing any demo neither coding in the slides

創建者 Peter F


To me, this seems like general BS full of buzzwords, but you won't learn anything practical anout how to use these tools

創建者 Arnaud H


IBM stopped to maintain/support it's platform where the jupyter exercises are hosted since more than 1 year !

It's a true shame, we discover at the end of the formation than it is impossible to finish it...

創建者 Mohd S B S H


Too dry and technical plus I couldn't get some of the codes with the notebook to work. There is a better video especially for Hadoop on Udacity that gives a much better explanation and I do hope you try to make the material more digestable. Each video is trying so hard to cram as much information into it as possible without giving the students much time to understand what is going.

創建者 Omar H


It is a great course on the theory part but there is no practical part " I guess they was depending on the next course in the specialization", also it would be better for more non robotic way in delivering the lectures.

創建者 Aditya P S P


the lecture was clearly understandible and I feel very gratefull to have this lecture

thank you it was phenomenal😊

創建者 Rorisang S


Fantastic blend of theory and practical (labs). The labs are short and have concise material.



leesons also the time i spend was unnoticable thank you so much

創建者 Youssef H


thank you so much , i really enjoyed the course

創建者 Urvish M


Such a great course.

創建者 Minh N T


easy understanding

創建者 Shivam K


Good course

創建者 chukka A



創建者 Natale F


Good course on the theoretical concepts needed to understand these tools. However, there is not much practice.

創建者 jijo s


hands on lab and quizzes at the end of each session was very helpful

創建者 Eric J


t​oo easy to solve the exmas!