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- 40% Apache Spark 3 - Spark Programming in Python for Beginners

Apache Spark 3 – Spark Programming in Python for Beginners

$19.99 $11.99Track price

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9.2/10 (Our Score)
Product is rated as #34 in category Python

This course does not require any prior knowledge of Apache Spark or Hadoop. We have taken enough care to explain Spark Architecture and fundamental concepts to help you come up to speed and grasp the content of this course.

About the Course

I am creating Apache Spark 3 – Spark Programming in Python for Beginners course to help you understand the Spark programming and apply that knowledge to build data engineering solutions. This course is example–driven and follows a working session like approach. We will be taking a live coding approach and explain all the needed concepts along the way.

Who should take this Course?

I designed this course for software engineers willing to develop a Data Engineering pipeline and application using the Apache Spark. I am also creating this course for data architects and data engineers who are responsible for designing and building the organization s data–centric infrastructure. Another group of people is the managers and architects who do not directly work with Spark implementation. Still, they work with the people who implement Apache Spark at the ground level.

Spark Version used in the Course

This Course is using the Apache Spark 3.x. I have tested all the source code and examples used in this Course on Apache Spark 3.0.0 open–source distribution.

Instructor Details

Prashant Kumar Pandey is passionate about helping people to learn and grow in their career by bridging the gap between their existing and required skills. In his quest to fulfill this mission, he is authoring books, publishing technical articles, and creating training videos to help IT professionals and students succeed in the industry. With over 18 years of experience in IT as a developer, architect, consultant, trainer, and mentor, he has worked with international software services organizations on various data-centric and Bigdata projects. Prashant is a firm believer in lifelong continuous learning and skill development. To popularize the importance of lifelong continuous learning, he started publishing free training videos on his YouTube channel and conceptualized the idea of creating a Journal of his learning under the banner of Learning Journal. He is the founder, lead author, and chief editor of the Learning Journal portal that offers various skill development courses, training, and technical articles since the beginning of the year 2018.

Specification: Apache Spark 3 – Spark Programming in Python for Beginners

Duration

6.5 hours

Year

2021

Level

All

Certificate

Yes

Quizzes

Yes

31 reviews for Apache Spark 3 – Spark Programming in Python for Beginners

4.6 out of 5
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  1. Avatar

    Rahul Das

    This is an excellent course. A must have for anyone willing to get in depth knowledge about Apache Spark and become a proficient Spark developer.

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  2. Avatar

    Nishant Jindal

    Amazing very well written..clearly explained .. already I have read half of the material …This is one of the best material for Spark… I would love to see 1) Spark Streaming 2) Real time project design and implementation 3)Advanced Concepts

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  3. Avatar

    Dharmeswaran P

    Very good course. Big thanks to Prashant for doing wonderful training sessions. Really helped me refresh basics.

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  4. Avatar

    Rishi Tandon

    This course is very good. It helps to understand Spark concepts and how to use it. Rally great for beginners. It will be great if more videos could be added for Spark Tungsten and Catalyst Optimizer in detail.

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  5. Avatar

    Shantha

    Great Explanation !

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  6. Avatar

    Gautham Kondapaneni

    It is a very informative course. Appreciate the effort taken to explain the process of packaging a PySpark applications, and not just the programming constraints. I would recommend this course for beginners. One thing I would have liked to see is more details on cloud based Spark applications, AWS EMR to be more specific because it is such a popular distribution now and all projects are moving away from on premise implementations.

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  7. Avatar

    Nishi Kant

    Pyspark tutorials exercises are really helpful for understanding.

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  8. Avatar

    PyDood ?

    Amazing course on PySpark (5/5). Highly recommended. My personal request to the instructor to add lectures on PySpark streaming (or) to provide it as a separate course. In most of the companies, they use pyspark as opposed to spark scala, because python is easy to learn. Hence requesting the instructor to come up with spark streaming using python Really thankful to the instructor for this course.

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  9. Avatar

    Sanjay Kumar Sahu

    Theory wise good but I was looking for more practical and real time scenario. Fewer example for each case.

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  10. Avatar

    Vijaya Prasad Konakondla

    Need to reduce fast pace

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  11. Avatar

    Selvam Rangasamy

    Really very good course.

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  12. Avatar

    Mubashir Ali

    Explaning the things amazingly

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  13. Avatar

    Dilipsahu

    very good explanation on the content but content is limited to spark sql only we are missing other topics like Spark Streaming, Mlib and GraphX.

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  14. Avatar

    Ankita sinha

    Go for it.

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  15. Avatar

    Vipinahuja

    This is a Spark course, and spark streaming & spark SQL are integral part, Spark streaming should be part of this course.

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  16. Avatar

    Prateek

    Amazingly crafted lectures for understanding Spark. But somehow it looks incomplete and lacks projects and assignments for practical insights. Can you please add Streaming sessions or create a new course for advanced learning. Thanks

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  17. Avatar

    Kannan Tamilraj

    For strong foundation in pySpark

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  18. Avatar

    Jos Alejandro S nchez

    The course goes very quickly. In my opinion, it is a good course, but the trainer may follow with steps more slowly

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  19. Avatar

    Aditya Tewari

    Wonderful Hands on Course, Highky recommended to new beginners of Spark Users.

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  20. Avatar

    Vinod Kushwah

    superb sir…………………..************************************************

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  21. Avatar

    Sanjay Kala

    Absolutely enjoyable,excellent explanation,concreted voice and firm knowledge.

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  22. Avatar

    Md Shabbir Hassan

    Really, Instructor is amazing. He makes all topics easy to get. Thank you very much for your effort to share your knowledge with us.

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  23. Avatar

    Sergei

    The course is great for me. I need a short quick explanation to refresh my knowledge.

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  24. Avatar

    A J

    Amazing content. Thank you Prashant for your wonderful teaching and study material. This course is really amazing. I have learned so much. You made it very simple.

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  25. Avatar

    Arunprabu Ganesan

    I have just completed 2 videos but the quality of material is top notch, really excited for the rest of the course.

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  26. Avatar

    MUNENDRA MISHRA

    Amazingly Clear and Lucid Training sessions with intense illustration of the concepts supportive by Colourful Graphs and Pictures. Thank You sir

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  27. Avatar

    Tyler Mason

    Good course coverage for Spark fundamentals.

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  28. Avatar

    Nhan Ngo

    I learned to section 6. It is great. I am keep learning and keep growing with instructor.

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  29. Avatar

    Anay Mishra

    great

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  30. Avatar

    Arti

    5 stars

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  31. Avatar

    Kundan Aseri

    Very lucid and easy to understand explanation . Conceptual understanding is good

    Helpful(0) Unhelpful(0)You have already voted this

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    Apache Spark 3 – Spark Programming in Python for Beginners
    Apache Spark 3 – Spark Programming in Python for Beginners

    $19.99 $11.99

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