Learning Journal - Prashant Kumar Pandey
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
Courses : 4
Specification: Apache Spark 3 – Spark Programming in Python for Beginners
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40 reviews for Apache Spark 3 – Spark Programming in Python for Beginners
Add a review
| Price | $9.99 |
|---|---|
| Provider | |
| Duration | 6.5 hours |
| Year | 2021 |
| Level | All |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$9.99
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.
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
Dharmeswaran P –
Very good course. Big thanks to Prashant for doing wonderful training sessions. Really helped me refresh basics.
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.
Shantha –
Great Explanation !
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.
Nishi Kant –
Pyspark tutorials exercises are really helpful for understanding.
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.
Sanjay Kumar Sahu –
Theory wise good but I was looking for more practical and real time scenario. Fewer example for each case.
Vijaya Prasad Konakondla –
Need to reduce fast pace
Selvam Rangasamy –
Really very good course.
Mubashir Ali –
Explaning the things amazingly
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.
Ankita sinha –
Go for it.
Vipinahuja –
This is a Spark course, and spark streaming & spark SQL are integral part, Spark streaming should be part of this course.
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
Kannan Tamilraj –
For strong foundation in pySpark
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
Aditya Tewari –
Wonderful Hands on Course, Highky recommended to new beginners of Spark Users.
Vinod Kushwah –
superb sir…………………..************************************************
Sanjay Kala –
Absolutely enjoyable,excellent explanation,concreted voice and firm knowledge.
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.
Sergei –
The course is great for me. I need a short quick explanation to refresh my knowledge.
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.
Arunprabu Ganesan –
I have just completed 2 videos but the quality of material is top notch, really excited for the rest of the course.
MUNENDRA MISHRA –
Amazingly Clear and Lucid Training sessions with intense illustration of the concepts supportive by Colourful Graphs and Pictures. Thank You sir
Tyler Mason –
Good course coverage for Spark fundamentals.
Nhan Ngo –
I learned to section 6. It is great. I am keep learning and keep growing with instructor.
Anay Mishra –
great
Arti –
5 stars
Kundan Aseri –
Very lucid and easy to understand explanation . Conceptual understanding is good
Eswar Putta –
It’s been a good course so far and able get what I’m looking for. Thanks for the mentor for keen and detailed explanation.
Padmavathi Cherla –
We get very good understanding of basics. Clear & concise explanation to the point.
Sourav Dasgupta –
This is by far the best courses on spark I have taken. While most of the courses merely focus on different APIs, this course goes one step beyond and explains all the spark internals in details. The course has the perfect mix of theory and practicals and has the right focus for building production grade data pipelines.
Atul M –
I bought and completed the course within 2 days. Would recommend, if you know python basics and SQL. I had no prior knowledge of Spark internals or pyspark, but this course was presented in such a way that I was able to relate most of the part to sql and python and rest were explained in wonderful way.
Kunal Debnath –
So far… sometime you are going too fast. and… 1st how to write code in spark.. then how to debug and then checking or creating logs.. is not it?
Anand Chiluka –
Wow, the instructor is truly a gem and the emphasis laid on the details on every chapter has definitely exceeded the expectations. Definitely recommend to a friend. 5/5
Abhijeet Kumar –
It was really an awesome course , i had an earlier experience working with pyspark but still alot of good and new things are mentioned and explained.
Ankit Senghani –
Course covers all aspect very clearly and easy to understand manner. It would be great if an additional section is added for improving performance of spark applications using ideal cluster size and configurations options.
Joyjit Chowdhury –
Awesome explanation and teaching