Learn Apache Spark and Scala from Scratch
Learn Apache Spark and Scala from Scratch
Spark Streaming, SparkSQL, Spark GraphX etc. This course includes: 9.5 hours on-demand video.
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Apache Spark is an open-source, distributed computing system that provides a fast, in-memory data processing engine for large-scale data processing. It was designed to be faster and more flexible than Hadoop, a popular open-source framework for distributed data processing.
Scala is a programming language that is well-suited for data processing and analytics tasks. It is a high-level language that combines the expressiveness of a scripting language with the static type system of a compiled language, making it easy to write efficient, reliable code.
The "Learn Apache Spark and Scala from Scratch" course is likely designed to teach you how to use Spark and Scala together to build distributed data processing applications. You will probably learn how to set up a Spark cluster, how to use Spark's APIs for data processing and analytics, and how to use Scala to write Spark programs. You will also probably learn about the fundamentals of distributed computing, including how to design and implement distributed algorithms, how to scale applications to handle large data sets, and how to manage data storage and access in a distributed environment.
Overall, by taking the "Learn Apache Spark and Scala from Scratch" course, you can gain valuable skills for building distributed data processing applications with Spark and Scala. These skills can be useful in a variety of contexts, including data analytics, machine learning, and big data engineering.
What you'll learn
- OOPS and Functional Programming in Scala
- Apache Spark Framework
- Advanced Spark Programming
- Integrating Spark with Kafka
- Spark MLib - Machine Learning
- Spark Streaming, SparkSQL, Spark GraphX etc.
