Learn the latest Big Data Technology – Spark! And learn to use it with one of the most popular programming languages, Python!
One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Spark! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Spark to solve their big data problems!
Spark can perform up to 100x faster than Hadoop MapReduce, which has caused an explosion in demand for this skill! Because the Spark 2.0 DataFrame framework is so new, you now have the ability to quickly become one of the most knowledgeable people in the job market!
This course will teach the basics with a crash course in Python, continuing on to learning how to use Spark DataFrames with the latest Spark 2.0 syntax! Once we’ve done that we’ll go through how to use the MLlib Machine Library with the DataFrame syntax and Spark. All along the way you’ll have exercises and Mock Consulting Projects that put you right into a real world situation where you need to use your new skills to solve a real problem!
Instructor Details
Courses : 21
Specification: Spark and Python for Big Data with PySpark
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23 reviews for Spark and Python for Big Data with PySpark
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$109.99 $14.99
YuanyuMu –
Good class overall, with a lot of examples and reusable notebook. However it is little bit slow for people with machine learning/ python knowledge.
Prithviraj Patil –
Yes, it was a good match but the final project could have been better or should have provided more projects using spark.
Suchismita Adhikary –
yes
Sandip Kandari –
as of now yes. I am liking this course and looking forward to get some good and hands on content
Lucero Yanez –
Excellent course, all information well explained. It really helped me to understand and start working with Spark.
Andrew Gruenberger –
This was a really great way to get an introduction to some interesting features of pyspark. The only issues I have are that it is a bit dated now and something about environment set up for a local VM was not quite as straightforward as the lecture on it. I believe this is also due to some things being outdated. I left answers in the Q&A for other students, and hopefully they can move forward if they have the same issues that I encountered. Thanks, Jose!
Juan Camilo Arias –
great content
Emanuel Isaac Afanador Pacheco –
Very good course
Selvamani G –
Good
Lakshmi Srinivasan –
Yes. This course meets my expectations at an affordable price
Miguel Vieira –
Ja
S.M. RASHEL RANA –
The way it is progressing, I like the Idea . Good thing is contents are digestible.
Gokul V Gopal –
Although the many concepts are covered well, I feel like it is missing on how they are used in the industry. Some insight on how spark is used in real time industry with a short example would have made it much better.
Gerardo Adrian Aguirre Vivar –
Clear explanation of how to work with Spark and Python. In my opinion, I would like it to be explained in depth theorical terms about Spark.
Francisco C J Bispo –
Yes!
Anushka Jain –
Nice content. Very informative
Sneja Maria Ponnor Jolly –
good
Harshit Patidar –
More Focused to ML part but its good to platform to explore Pyspark
Somal Kant –
excellent and easy to understand
Gregory A Beam –
I found this course to be very high quality both in terms of content and subject matter coverage. I found the content file(s) to be far better than many online classes I’ve taken. I plan to take more courses from this author as I enjoy the pace, tone and expertise he exhibits. My only request would be to have the course updated to use the latest version of Spark (3.0.0 at the time of this rating/review).
Lionel Nkenyereye –
The explanation is clear on the purpose of the course.
Ajay Kumar –
very good course..i learnt a lot
Benjamin Cramet –
Tres bon cours