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LinkedIn Learning

Advance Your Skills as an Apache Spark Specialist

via LinkedIn Learning Path

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Overview

Apache Spark is among the fastest-growing tools in data science, due to its streaming, speed, and scalability capabilities. In particular, the Spark MLlib machine learning library is rapidly becoming a must-have for those working in AI. Stay up to date with the latest Apache Spark skills.
  • Learn the basics of Apache Spark.
  • Build your data engineering skills using Spark.
  • Use Spark as a primary tool for AI and machine learning projects.

Syllabus

Courses under this program:
Course 1: Cloud Hadoop: Scaling Apache Spark
-Generate genuine business insights from big data. Learn to implement Apache Hadoop and Spark workflows on AWS.

Course 2: Apache Spark Essential Training
-Get up to speed with Spark, and discover how to leverage this powerful platform to efficiently and effectively work with big data.

Course 3: Apache Spark Essential Training: Big Data Engineering
-Learn how to make Apache Spark work with other Big Data technologies and put together an end-to-end project that can solve a real-world business problem.

Course 4: Spark for Machine Learning & AI
-Discover the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more.

Courses

Taught by

Lynn Langit, Ben Sullins, Kumaran Ponnambalam and Dan Sullivan

Reviews

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