Spark Fundamentals

Solid understanding and experience, with core tools, in any field promotes excellence and innovation. Apache Spark, as a general engine for large scale data processing, is such a tool within the big data realm. This learning path addresses the fundamentals of this program's design and its application in the everyday.

5 Courses

Spark - Level 2 Badge

About this Learning Path

Ever waited over night to run a report and to come back to your computer in the morning to find it still running. When the heat is on and you have a deadline, something is not working. With larger and larger data sets you need to be fluent in the right tools to be able to make your commitments. This learning path is your opportunity to learn from industry leaders about Spark. This path provides hands on opportunities and projects to build your confidence within this tool set.

Come along and start your journey to receiving the following badges: Spark – Level 1 and Spark – Level 2.

Average Course Rating

4.2 out of 5

Learning Path Average Level

Beginner

Language

English

Badge Earned

Spark - Level 2

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Spark Fundamentals Courses

Intermediate Course Big Data

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.

(679) Continue
Intermediate Course Big Data

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.

(77) Continue
Intermediate Course Big Data

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.

(0) Continue
Course

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.

(0) Continue
Beginner Course R Programming

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.

(0) Continue

Claiming This Credential On top of badges earned from courses, completing a learning path unlocks unique credentials that showcase your acquired skills.

Spark Fundamentals Badge To be claimed upon the completion of all content

Step 1 Enroll and pass each course above

Step 2 Claim your credentials below

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