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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.
Overview
Syllabus
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- 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.