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

4.4
stars
358 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

JO

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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

CS

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well-structured course with comprehensive content and practical skills

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51 - 75 of 79 Reviews for Introduction to Big Data with Spark and Hadoop

By Sadhana G M

Oct 14, 2023

USEFUL

By Le V T K

Feb 22, 2024

good

By PREM C N

Nov 7, 2023

good

By Nguyen V T F

Jul 24, 2023

Nice

By 321910304004 g

Apr 4, 2023

good

By BARIGE S

Mar 24, 2023

good

By Sumit K

Oct 15, 2022

wow

By chukka A

Jan 25, 2022

good

By Shazib S

Sep 9, 2024

Excellent. But would have liked to have more detailed walk through on how to set-up (not just a reading) on my own computer and practice lab on that. Also, too many of the slides were just bullet points and could have been more visualized to ensure architectural themes are easily remembered (e.g. monitoring module was just textual and diagrams could have been more specific - especially linked with Sparks UI more closely than a few images after many bullet vis-a-vis nicely explained job/stage/task hierarchy and how it relates to client mode set-up.)

By Merouane E

Aug 23, 2022

I like the content about Spark, it was well organised and demonstrated with hands-on lab, but not for Hadoop (HDFS, Hbase etc). plus the long videos with robotic voice makes it hard to concentrate. In general it was a good course

By Michal B

Jun 12, 2023

Synth voice narration quality is truly annoying. I'd expect better from IBM. Course materials are quite superficial, which I guess is acceptable for an introductory course.

By SunjuYi

Nov 12, 2022

This is really helpful for me to understand Big Data and Apache Spark!

By jijo s

May 2, 2022

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

By Purvesh V

Aug 10, 2023

It's very good introduction with hands on lab.

By prahal m

Apr 14, 2023

should have more practical knowledge

By dhananjay k

Nov 11, 2022

Good course

By fredy a

Jul 27, 2023

GOOD

By Manoj K C

Jun 9, 2024

Good theoretical knowledge on Big data, Hadoop and Apache Spark. However the labs were of very limited scope and didn't provide full hands-on exposure of the tool. Concepts were really difficult to grasp and had to go through the course content few times to clear the final assignment. Not very impressed with the articulation of the concepts discussed in this course. so 3 stars from me.

By Sanskar V

Mar 21, 2023

This is a good course for in depth theoretical knowledge about spark and hadoop but it does not have enough hands-on and the exercises which do have hands-on lack proper explanations of the code that we just mostly copy and paste

By Annikka L

Jun 28, 2023

The automated voices are really distracting, and the explanations in the course are quite surface level. I enjoyed the hands-on training part of the course though.

By Eric J

Apr 16, 2022

too easy to solve the exmas!

By Adolfo J M

Oct 8, 2023

El material muy complejo

By Fran M

Dec 14, 2023

Muy pocos ejemplos prácticos para comprender el funcionamiento. La teoría se podría aplicar con muchos casos prácticos fácilmente aplicable en los hands-on-lab como en otros cursos que he completado anteriormente.

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