Apache Spark with Scala - Learn Spark from a Big Data Guru [Video]
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-
Free ChapterGet Started with Apache Spark
-
RDD
- RDD Basics in Apache Spark
- Create RDDs
- Map and Filter Transformation in Apache Spark
- Solution to Airports by Latitude Problem
- FlatMap Transformation in Apache Spark
- Set Operation in Apache Spark
- Solution for the Same Hosts Problem
- Actions in Apache Spark
- Solution to Sum of Numbers Problem
- Important Aspects about RDD
- Summary of RDD Operations in Apache Spark
- Caching and Persistence in Apache Spark
-
Spark Architecture and Components
-
Pair RDD in Apache Spark
- Introduction to Pair RDD in Spark
- Create Pair RDDs in Spark
- Filter and MapValue Transformations on Pair RDD
- Reduce By Key Aggregation in Apache Spark
- Sample solution for the Average House problem
- GroupBy Key Transformation in Spark
- SortBy Key Transformation in Spark
- Sample Solution for the Sorted Word Count Problem
- Data Partitioning in Apache Spark
- Join Operations in Spark
-
Advanced Spark Topic
-
Apache Spark SQL
-
Running Spark in a Cluster
About this
video
All the code and supporting files for this course are available on GitHub at https://github.com/PacktPublishing/Apache-Spark-with-Scala---Learn-Spark-from-a-Big-Data-Guru
This course covers all the fundamentals of Apache Spark with Scala and teaches you everything you need to know about developing Spark applications with Scala. At the end of this course, you will gain in-depth knowledge about Apache Spark and general big data analysis and manipulations skills to help your company to adapt Apache Spark for building a big data processing pipeline and data analytics applications. This course covers 10+ hands-on big data examples. You will learn valuable knowledge about how to frame data analysis problems as Spark problems. Together we will learn examples such as aggregating NASA Apache web logs from different sources; we will explore the price trend by looking at the real estate data in California; we will write Spark applications to find out the median salary of developers in different countries through the Stack Overflow survey data; we will develop a system to analyze how maker spaces are distributed across different regions in the United Kingdom, and much, much more. This course is taught in Scala. Scala is the next generation programming language for functional programming that is growing in popularity and it is one of the most widely used languages in the industry to write Spark programs. Let's learn how to write Spark programs with Scala to model big data problems today!
- Publication date:
- April 2018
- Publisher
- Packt
- Duration
- 3 hours 16 minutes
- ISBN
- 9781789134537