Spark Fundamentals II

Building on your foundational knowledge of Spark, take this opportunity to move your skills to the next level. With a focus on Spark Resilient Distributed Data Set operations this course exposes you to concepts that are critical to your success in this field.

Spark MLlIB

Spark provides a machine learning library known as MLlib. MLlib provides various machine learning algorithms such as classification, regression, clustering, and collaborative filtering. It also provides tools such as featurization, pipelines, persistence, and utilities for handing linear algebra operations, statistics and data handling.

Spark Fundamentals I

Ignite your interest in Spark with an introduction to the core concepts that make this general processor an essential tool set for working with Big Data.

Exploring Spark's GraphX

Spark provides a graph-parallel computation library in GraphX. Graph-parallel is a paradigm that allows representation of your data as vertices and edges. Spark's GraphX provides a set of fundamental operators in addition to a growing collection of algorithms and builders to simplify graph analytics tasks.

Analyzing Big Data in R using Apache Spark

Apache Spark is a popular cluster computing framework used for performing large scale data analysis. SparkR provides a distributed data frame API that enables structured data processing with a syntax familiar to R users.