Description
Apache Spark In-Depth (Spark with Scala) is a training course on Apache Spark with Scala programming language, published by Udemy Academy. This training course is completely project-oriented and practical, but the topics discussed in it can also help you in job interviews. In this training course, we will start our work from small programs such as counting the number of words in a text and then we will reach more complex programs such as Batch Processing and Spark Structure Streaming. Among the most important topics raised in this training course, we can mention the development and implementation of Spark applications and their troubleshooting, improving and increasing the overall efficiency (Performance tuning) and… It is worth mentioning that this training course does not require any prerequisite knowledge.
Apache Spark is an integrated analysis engine for big data processing that provides a set of different capabilities in the form of pre-built modules. Data streaming, SQL, machine learning and graph processing modules can be mentioned among these modules.
What you will learn in the Apache Spark In-Depth (Spark with Scala) course:
- Apache Spark big data analysis engine
- Batch Processing
- Performance tuning
- Questions and topics raised in job interviews
- And …
Course details
Publisher: Yudmi
teacher: Harish Masand
English language
Training level: introductory to advanced
Number of courses: 25
Training duration: 40 hours and 37 minutes
Course topics on 10/2021
Apache Spark In-Depth course prerequisites (Spark with Scala)
No prerequisite required. Curiosity to learn new technology.
Good to know: Hadoop Basics and Scala Basics.
Excellent if you have completed my below 2 data engineering courses: “Big Data Hadoop and Spark with Scala” and “Scala Programming In-Depth”
Course images
Apache Spark In-Depth course introduction video (Spark with Scala)
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
17.6 GB
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