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

4.4

stars

415 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

Jan 31, 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

Jan 18, 2025

I have learned a lot from this course, and hopefully it would be helping me throughout my career ahead. Very well designed course, I like the way of teaching, and structured modules.

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51 - 75 of 90 Reviews for Introduction to Big Data with Spark and Hadoop

By Sabeur M

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Jan 22, 2024

great course

By Shivam K

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Feb 3, 2022

Good course

By Rubens T

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Jul 13, 2022

Excellent!

By Juan C

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Dec 21, 2023

excelente

By Tùng N P

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Feb 27, 2024

Great!

By Sadhana G M

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Oct 14, 2023

USEFUL

By Le V T K

•

Feb 22, 2024

good

By PREM C N

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Nov 7, 2023

good

By Nguyen V T F

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Jul 24, 2023

Nice

By 321910304004 g

•

Apr 4, 2023

good

By BARIGE S

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Mar 24, 2023

good

By Sumit K

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Oct 15, 2022

wow

By chukka A

•

Jan 25, 2022

good

By Shazib S

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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 Rafael B

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Oct 25, 2024

Es un gran curso en donde he podido afianzar conceptos fundamentales tanto en Hadoop como en Spark. De no ser por estar absolutamente atado y dependiente de la plataforma en la nube de IBM, sería un curso perfecto. Me gustaría que en la primera parte del curso enseñaran cómo montar una plataforma localhost y luego pasar a conocer las ventajas de montar todo rápidamente en la muy buena plataforma de IBM.

By Stefan U

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Oct 23, 2024

+ great IDE for hands-on labs + good intelligibility of computer-generated voice reading the texts - slightly boring data sets - some factual errors in the quizzes (e.g. radiobuttons instead of checkboxes for questions with multiple correct answers)

By Merouane E

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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

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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 Durr-e- S

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Jan 11, 2025

I found the course to be a great foundation for understanding how to work with large datasets using Hadoop and Spark, with clear explanations and practical examples.

By SunjuYi

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Nov 12, 2022

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

By jijo s

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May 2, 2022

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

By Purvesh V

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Aug 10, 2023

It's very good introduction with hands on lab.

By prahal m

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Apr 14, 2023

should have more practical knowledge

By dhananjay k

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Nov 11, 2022

Good course

By fredy a

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Jul 27, 2023

GOOD