About this Course

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Coursera Labs
Includes hands on learning projects.
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Beginner Level
Approx. 20 hours to complete
English

What you will 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 will gain

  • Data Management
  • Distributed File Systems
  • Cloud Storage
  • Big Data
  • SQL
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Beginner Level
Approx. 20 hours to complete
English

Offered by

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Cloudera

Syllabus - What you will learn from this course

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Week1
Week 1
3 hours to complete

Orientation to Data in Clusters and Cloud Storage

3 hours to complete
7 videos (Total 56 min), 3 readings, 1 quiz
Week2
Week 2
5 hours to complete

Defining Databases, Tables, and Columns

5 hours to complete
7 videos (Total 33 min), 12 readings, 2 quizzes
Week3
Week 3
3 hours to complete

Data Types and File Types

3 hours to complete
5 videos (Total 14 min), 12 readings, 2 quizzes
Week4
Week 4
5 hours to complete

Managing Datasets in Clusters and Cloud Storage

5 hours to complete
8 videos (Total 48 min), 13 readings, 3 quizzes

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About the Modern Big Data Analysis with SQL Specialization

Modern Big Data Analysis with SQL

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