Scalable Programming with Scala & Spark

Scalable Programming with Scala & Spark

8.5 Hours
$20.00$79.00
You save 74%
Scalable Programming with Scala & Spark

51 Lessons (8.5h)

  • You, This Course and Us
  • Introducing Scala
  • Introduction to Spark
  • Resilient Distributed Datasets
  • Advanced RDDs: Pair Resilient Distributed Datasets
  • Advanced Spark: Accumulators, Spark Submit, MapReduce , Behind The Scenes
  • PageRank: Ranking Search Results
  • Spark SQL
  • MLlib in Spark: Build a recommendations engine
  • Spark Streaming
  • Graph Libraries
DescriptionInstructorImportant DetailsRelated Products

Get Rich Using Scala & Spark for Data Analysis, Machine Learning & Analytics

L
LoonyCornLoonycorn is comprised of four individuals—Janani Ravi, Vitthal Srinivasan, Swetha Kolalapudi and Navdeep Singh—who have honed their tech expertises at Google and Flipkart. The team believes it has distilled the instruction of complicated tech concepts into funny, practical, engaging courses, and is excited to be sharing its content with eager students.

Description

The functional programming nature and the availability of a REPL environment make Scala particularly well suited for a distributed computing framework like Spark. Using these two technologies in tandem can allow you to effectively analyze and explore data in an interactive environment with extremely fast feedback. This course will teach you how to best combine Spark and Scala, making it perfect for aspiring data analysts and Big Data engineers.

  • Access 51 lectures & 8.5 hours of content 24/7
  • Use Spark for a variety of analytics & machine learning tasks
  • Understand functional programming constructs in Scala
  • Implement complex algorithms like PageRank & Music Recommendations
  • Work w/ a variety of datasets from airline delays to Twitter, web graphs, & Product Ratings
  • Use the different features & libraries of Spark, like RDDs, Dataframes, Spark SQL, MLlib, Spark Streaming, & GraphX
  • Write code in Scala REPL environments & build Scala applications w/ an IDE

Specs

Details & Requirements

  • Length of time users can access this course: lifetime
  • Access options: web streaming, mobile streaming
  • Certification of completion not included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Experience level required: all levels, but some knowledge of Java or C++ is assumed

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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