Chevron Left
Back to Introduction to Big Data with Spark and Hadoop

Learner Reviews & Feedback for Introduction to Big Data with Spark and Hadoop by IBM

4.4
stars
392 ratings

About the Course

This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark. Bernard Marr defines big data as the digital trace that we are generating in this digital era. You will start the course by understanding what big data is and exploring how insights from big data can be harnessed for a variety of use cases. You’ll also explore how big data uses technologies like parallel processing, scaling, and data parallelism. Next, you will learn about Hadoop, an open-source framework that allows for the distributed processing of large data and its ecosystem. You will discover important applications that go hand in hand with Hadoop, like Distributed File System (HDFS), MapReduce, and HBase. You will become familiar with Hive, a data warehouse software that provides an SQL-like interface to efficiently query and manipulate large data sets. You’ll then gain insights into Apache Spark, an open-source processing engine that provides users with new ways to store and use big data. 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 components that make up Apache Spark. You’ll learn about DataFrames and perform basic DataFrame operations and work with SparkSQL. Explore how Spark processes and monitors the requests your application submits and how you can track work using the Spark Application UI. This course has several hands-on labs to help you apply and practice the concepts you learn. You will complete Hadoop and Spark labs using various tools and technologies, including Docker, Kubernetes, Python, and Jupyter Notebooks....

Top reviews

KK

Jan 30, 2024

That is a well packaged course allow you crate bıg data applıcatıon. You can download as pdf files the application hands on practise and follow them and update them depending on ypur own appication

JO

Jun 7, 2024

A very very indepth couse by IBM. As someone who studies most courses on Coursera, I think IBM offers an in depth course so far

Filter by:

76 - 84 of 84 Reviews for Introduction to Big Data with Spark and Hadoop

By Adolfo J M

•

Oct 8, 2023

El material muy complejo

By Ian J

•

Nov 13, 2024

this should be its own course with how hard the material felt compared to the rest of the DE certification. you will learn a lot but I often felt more confused at the end of a module than confident I could use this information.

By Souradeep N

•

Jun 18, 2024

The quizzes were deliberately ambiguous and opinion based. The "hands on lab" is no better than just opening up the spark documentation.

By AUM ;

•

Jul 15, 2023

Worst tutorial ever watched. Explained very badly had to completed the entire course just because i paid money for it.AI is talking an explaining every thing. Better to learn form youtube than watch this shit. After watch 10 mins i would get pissed at their teachings

By Anouk W

•

Apr 21, 2023

If it weren't a requirement for a uni course, I wouldn't have started another IBM course. In general, the material is of low quality, read by a robot, poorly made quizzes and a lot of theory without reasonable practice exercises.

By Federico C R

•

Oct 17, 2024

It was too difficult for an Intermediate learner profile. In addition, most of the questions were misleading. This was the worst course ever made. Sorry..

By Frank H

•

Aug 8, 2023

this course is simply outrageous. completely bugged, unclear instructions, none of those responsible care about anything

By Yu W

•

Jul 4, 2023

not a well designed course.

By yuqi h

•

Apr 19, 2023

shit!