Scala for Data Science Pascal Bugnion
Publisher: Packt Publishing

I have textRDD: org.apache.spark.rdd. Modern computing has no shortage of tools for the data scientist. Apache Spark Essentials (Python or Scala); Data Science with Apache Spark; Advanced: Exploring Wikipedia with Spark (Tackling a unified use case). Mathematician, Data Scientist, and Nonsense (by Stephanie) Convert an RDD to a DataFrame in Spark using Scala. It's use case is specifically for large data sets. Edit: Taking you mean statically typed with "compiled like Java/Scala" Depends what you want to do. Top Stories How to choose a NoSQL analytics system Tue, 15 Sep 2015 10:00: 00 GMT – John A. This API is inspired by data frames in R and Python (Pandas), but designed APIs for Python, Java, Scala, and R (in development via SparkR). And now, finally, this blog entry is completely dedicated to Apache Spark with examples in Scala and Python. Senior Software Engineer- Java or Scala - Data Science job in New York City, New York, US. A new conference for data engineers, data scientists, developers, and data managers who use the Scala language to build big data pipelines. Scala and its ecosystem deserve a place in every data engineer's toolbox. Contribute to scala-data-science development by creating an account on GitHub. I know that Spark is fully integrated with Scala. Combined with Spark's dataframes, ND4J is making real data science viable in Scala. Which other tools have good Scala support? Created by Data Science and IoT professionals, the course covers Data, For Big Data, the course is focussed on Apache Spark – specifically Scala, SQL, mlib.