Learn about Spark for data science and its relation to Scala.
- [Instructor] There are many reasons…to use Scala for data science and analytics.…Scala is a functional programming language…and those languages are well-suited…for applying computations to data.…It's also an object-oriented language.…That allows us to create objects…and methods that keep our data organized according…to the structure of the business problem we're working on.…Features like parallel collections…help when we're working with large data sets.…They allow us to take advantage…of multiple CPUs that are found…in contemporary desktops and laptops.…
When you start working with big data,…that is data that cannot be processed…in a reasonable amount of time…on a single server, then it's time…to consider a distributed processing framework like Spark.…Spark is a distributed processing…framework written in Scala.…It's known for its fast processing.…It's faster than Hadoop, the first popular…big data analytics platform,…libraries for analytics, stream processing…for near real-time analysis, it's fault-tolerant,…
Dan also focuses on using Scala with Spark, a distributed processing platform. He first describes how to work with Resilient Distributed Datasets (RDDs)—a fundamental Spark data structure—and then explains how to use Scala with Spark DataFrames, a new class of data structure specially designed for analytic processing. He wraps up the course by providing a summary of advantages of using Scala for data science.
- The advantages of Scala for data science
- Scala data types
- Scala arrays, vectors, and ranges
- Parallel processing in Scala
- Mapping functions over parallel collections
- When and when not to use parallel collections
- Using SQL in Scala
- Scala and Spark RDDs
- Scala and Spark DataFrames
- Creating DataFrames
Skill Level Intermediate
Java for Data Scientists Essential Trainingwith Charles Kelly2h 43m Intermediate
1. Introduction to Scala
2. Parallel Processing in Scala
3. Using SQL in Scala
4. Scala and Spark RDDs
5. Scala and Spark DataFrames
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