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Overview
Key Features
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.
By the end of the Managing Big Data in Clusters and Cloud Storage course offered by Coursera in partnership with Cloudera, you will be able to
- 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; and
- describe and choose among different data types and file formats for big data systems.
Programme Structure
Courses include:
- Orientation to Data in Clusters and Cloud Storage
- Defining Databases, Tables, and Columns
- Data Types and File Types
- Managing Datasets in Clusters and Cloud Storage
- Optimizing Hive and Impala (Honors)
Key information
Duration
- Part-time
- 14 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data View 459 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- No previous experience necessary
- This course is aimed at learners interested in big data who want to develop skills in managing, storing, and structuring large datasets using distributed systems and cloud storage technologies.
Tuition Fees
Additional Details
Course is free for the first 7 days. After 7 days, the course can be accessed with the Coursera Plus Subscription
Funding
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