Spark Fundamentals I
About the course
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.Spark Fundamentals
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.
TELL YOUR FRIENDS
AUDIENCE:
Data Engineers, Data Scientists
LEARNING PATH LEVEL:
Beginner
2 BADGES
5 COURSES
Spark Fundamentals Courses
Spark Fundamentals II
About the course
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
About the course
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.
Exploring Spark's GraphX
About the course
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
About the course
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.
Complete the Spark Fundamentals Learning path
BADGE: Spark - Level 2
Our learning paths are designed to build on the content learned in the first course and then build upon the concepts in courses that follow. We recommend that they are completed in the order outlined in this learning path to ensure you get the most out of your investment of time. If you like what you see here, come and discover other learning paths and browse our course catalog.
How To Obtain Badge Html
- Step 1: Enrol in every course above.
- Step 2: Successfully pass and receive a certificate for each of the courses.
- Step 3: Return here and click the button below to request your badge.
- Step 4: Visit your email to accept your badge.
Spark - Level 2
This badge earner has a basic understanding of Spark. The earner can describe Spark, articulate its benefits, and describe how it is used. The individual can also use Resilient Distributed Datasets (RDD) and DataFrames to perform in-memory computing and create applications on top of the Spark built-in libraries. Along with the Spark foundation knowledge, this earner further understands how Spark partitions work and perform memory management and tuning operations.