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.

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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

4.1 out of 5

Learning Path Average Level

Beginner

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Badge Earned

Spark - Level 2


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Spark Fundamentals Courses
  • Spark Fundamentals I
    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.

    (546)
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  • Spark Fundamentals II
    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.

    (49)
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  • Spark MLlIB
    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)
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  • Exploring Spark's GraphX
    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)
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  • Analyzing Big Data in R using Apache Spark
    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)
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Spark Fundamentals Badge To be claimed upon the completion of all content
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