In this course, you'll learn how to manage big datasets, how to load them into clusters and cloud storage, and how to apply structure to the data so that you can run queries on it using distributed SQL engines like Apache Hive and Apache Impala. You’ll learn how to choose the right data types, storage systems, and file formats based on which tools you’ll use and what performance you need.
Managing Big Data in Clusters and Cloud Storage
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Managing Big Data in Clusters and Cloud Storage
This course is part of Modern Big Data Analysis with SQL Specialization
Instructors: Ian Cook
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299 reviews
Beginner level
No prior experience required
Flexible schedule
2 weeks at 10 hours a week
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What you'll learn
Use different tools to browse existing databases and tables in big data systems
Use different tools to explore files in distributed big data filesystems and cloud storage
Create and manage big data databases and tables using Apache Hive and Apache Impala
Describe and choose among different data types and file formats for big data systems
Skills you'll gain
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Taught in English
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This course is part of the Modern Big Data Analysis with SQL Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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Showing 3 of 299
GK
Reviewed on Feb 9, 2020
Very good material and the labs using the VM are wonderful hands-on experience.
PZ
Reviewed on Sep 3, 2020
This was definitely the most challenging course I have done so far, but I am loving it! Glynn and Ian do a fantastic job of guiding you through the content in an engaging and practical manner.
SK
Reviewed on Feb 29, 2020
This is Very good course for a beginners, it gives you lots of exercises to practice in vm and course material is Really really good but only thing is you have to read a lot ,
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