Big Data Analytics with Hadoop and Apache Spark
With Kumaran Ponnambalam
Liked by 1,509 users
Duration: 1h 1m
Skill level: Intermediate
Released: 2/24/2020
Course details
Apache Hadoop was a pioneer in the world of big data technologies, and it continues to be a leader in enterprise big data storage. Apache Spark is the top big data processing engine and provides an impressive array of features and capabilities. When used together, the Hadoop Distributed File System (HDFS) and Spark can provide a truly scalable big data analytics setup. In this course, learn how to leverage these two technologies to build scalable and optimized data analytics pipelines. Instructor Kumaran Ponnambalam explores ways to optimize data modeling and storage on HDFS; discusses scalable data ingestion and extraction using Spark; and provides tips for optimizing data processing in Spark. Plus, he provides a use case project that allows you to practice your new techniques.
Skills you’ll gain
Meet the instructor
Learner reviews
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Arta Salahesh
Arta Salahesh
Full stack Developer | Java Software Engineer | Big Data Developer | React Developer | Front End Developer | Software Development Engineer in Test
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Wasim Ahmed Raja
Wasim Ahmed Raja
ICT Professional | ICT Solutions planning & Support | Integration Engineer | Cloud Platform Support
Contents
What’s included
- Practice while you learn 2 exercise files
- Test your knowledge 6 quizzes
- Learn on the go Access on tablet and phone
- Stay up to date Continuing Education Units
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