Developing Spark Applications – Python & Cloudera

Developing Spark Applications – Python & Cloudera is a digital online course/Ebook with the following format files such as: .mp4 (.avi or .ts), .mp3, .pdf and .doc .csv… etc. You can access this course wherever and whenever you want as long as you have fast internet connection OR you can save one copy on your personal computer/laptop as well.

Description

Developing Spark Applications – Python & Cloudera

Course Description

Archive : Developing Spark Applications – Python & Cloudera Digital Download
Salepage : Developing Spark Applications – Python & Cloudera
Delivery : Online With Any Device

At the core of working with large-scale datasets is a thorough knowledge of Big Data platforms like Apache Spark and Hadoop. In this course, Developing Spark Applications with Python & Cloudera, you’ll learn how to process data at scales you previously thought were out of your reach. First, you’ll learn all the technical details of how Spark works. Next, you’ll explore the RDD API, the original core abstraction of Spark. Finally, you’ll discover how to become more proficient using Spark SQL and DataFrames. When you’re finished with this course, you’ll have a foundational knowledge of Apache Spark with Python and Cloudera that will help you as you move forward to develop large-scale data applications that enable you to work with Big Data in an efficient and performant way.

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3. How long will get download link after payment?

Most of products will come to you immediately. But for some products were posted for offer. We need time to make files and upload. (It takes 8-48 hours) We will try by our best to have download link on time. One immportant thing, you can Online Chat with me and receive download IMMEDIATELY.

4. Contents – Update

We’ve double checked all contents, and they are full for sale. For the courses need to update, we will update and send you update contents by ourselves.

5. Refund policy

All products were double checked before post for sale. So that will not have refund for them. Only make refund for the products that we can not provide. You will get what you paid for or get back your money.