University of California San Diego

Big Data Integration and Processing

This course is part of Big Data Specialization

Taught in English

Some content may not be translated

Ilkay Altintas
Amarnath Gupta

Instructors: Ilkay Altintas

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Course

Gain insight into a topic and learn the fundamentals

4.4

(2,394 reviews)

|

89%

Beginner level
No prior experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

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Assessments

10 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.4

(2,394 reviews)

|

89%

Beginner level
No prior experience required
17 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Big Data Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 7 modules in this course

Welcome to the third course in the Big Data Specialization. This week you will be introduced to basic concepts in big data integration and processing. You will be guided through installing the Cloudera VM, downloading the data sets to be used for this course, and learning how to run the Jupyter server.

What's included

3 videos6 readings1 discussion prompt

This module covers the various aspects of data retrieval and relational querying. You will also be introduced to the Postgres database.

What's included

5 videos2 readings

This module covers the various aspects of data retrieval for NoSQL data, as well as data aggregation and working with data frames. You will be introduced to MongoDB and Aerospike, and you will learn how to use Pandas to retrieve data from them.

What's included

5 videos3 readings2 quizzes1 discussion prompt

In this module you will be introduced to data integration tools including Splunk and Datameer, and you will gain some practical insight into how information integration processes are carried out.

What's included

11 videos4 readings2 quizzes1 discussion prompt

This module introduces Learners to big data pipelines and workflows as well as processing and analysis of big data using Apache Spark.

What's included

9 videos4 readings2 quizzes3 discussion prompts

In this module, you will go deeper into big data processing by learning the inner workings of the Spark Core. You will be introduced to two key tools in the Spark toolkit: Spark MLlib and GraphX.

What's included

9 videos5 readings2 quizzes1 discussion prompt

In this module you will get some practical hands-on experience applying what you learned about Spark and MongoDB to analyze Twitter data.

What's included

4 readings2 quizzes

Instructors

Instructor ratings
4.4 (127 ratings)
Ilkay Altintas
University of California San Diego
14 Courses482,253 learners
Amarnath Gupta
University of California San Diego
10 Courses455,655 learners

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